Total 19 job vacancies by IN02 NVIDIA GraphicsPLtd,Pune

NVIDIA is looking for an outstanding Senior System Software engineer for an exciting role in Tegra Graphics & Display team. This position involves development of new SW technologies to support our GPUs, Graphics & Display driver stack, emulation and validation of new chip designs, maintenance of legacy software and devices. You also will be defining and implementing software modules as interfaces between high level Graphics/Display APIs and the hardware. This is a great chance to create an impact on the industry through interactions with other internal teams and external authorities as well. You will be working at the forefront of technical innovation at NVIDIA, in a very fast paced and dynamic environment with some of the best in the industry. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

What you'll be doing:

• Designing, developing, and maintaining Graphics and Display software with a focus on optimizing and enhancing the efficiency of Tegra's GPU and Display hardware.

• Improve performance, quality and stability of existing drivers.

• Using LLMs for enabling automation in the driver development life cycle.

• Collaborating with software, hardware, architecture, and support teams to ensure the delivery of a world-class driver implementation.

• Tackling diverse software issues within the Tegra graphics software stack through triage and debugging.

What we need to see:

• A degree in Computer Science, Computer Engineering, Electronics Engineering, or equivalent experience (BE/ME).

• 3+ years of experience in software engineering, architecture, and design.

• Proficiency in C/C++ programming and debugging.

• Previous experience in developing graphics and/or display device drivers, particularly for Linux or QNX OS.

• Strong analytical, problem-solving, and communication skills

Ways to stand out from the crowd:

• Experience of graphics APIs like Vulkan, OpenGL(/ES), EGL, GLX, DRM, GBM, OR display stacks like X11, Wayland-Weston/Mutter, or other compositors.

• Knowledge for buffer allocators, memory/resource managers, schedulers and kernel drivers.

• Comprehensive understanding of mobile/desktop/embedded/automotive operating systems (Linux, Windows, Android and QNX).

• In-depth knowledge of GPU and CPU architecture is a plus.

• Familiarity with LLMs and their applications in software development and be self-motivated and be able to work independently with little direction.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is searching for a Multimedia Software Engineer for developing multimedia technologies for a new class of server products and appliances for our Metropolis platforms. Data is the lifeblood of the modern city. Today, it’s being captured by over 500 million cameras worldwide, and that number is growing exponentially. This is creating a tsunami of information that is impossible for humans to analyze. AI is the key to turning this information into insight. It’s transforming how we collect, inspect, and analyze data to impact everything from public safety, traffic, and parking management to law enforcement and city services. NVIDIA Metropolis is leading this AI revolution, providing the tools, technologies, and expertise to meet every challenge with smarter, faster applications.

This role will be responsible for implementation of advanced multimedia acquisition and retrieval systems for AI processing. Your deep experience with multimedia formats, transport protocols, hardware-accelerated Codecs, and micro service-based architectures will provide the foundation for a platform solving smart cities problems with AI. Strong collaboration and communication skills are a prerequisite for joining a multi-disciplinary and world-wide team driving the evolution of smart cities.

What you'll be doing:

• Developing a video management system capable of scaling from embedded devices up to large data center deployments

• Tackling data acquisition and service challenges with a secure, micro services-based architecture, including system and network data movement and resource utilization

• Collaborating within a well-defined product life cycle with distinct requirements, architecture and iterative development phases

• Implementing solutions using open protocols, standards and idioms including WEBRTC, ONVIF, RTP/RTSP, SOAP, REST, gRPC

• Accelerating multimedia processing and data transfer using NVIDIA multimedia and networking SDKs

What we need to see:

• Bachelors of Science with 10+ years of experience (Masters degree preferred) or equivalent experience

• Demonstrable experience with multimedia formats, transport protocols and development of scalable systems for media handling or processing

• Strong C and C++ (Advanced C++) programming skill

• Excellent understanding of systems software development within the Linux environment, with a knowledge of operating systems, multi-threading/concurrency and virtual memory, and system-level performance analysis

• Familiarity with protocols used for implementing video-based microarchitecture services, including WebRTC, RTSP, SOAP, REST, gRPC

• You have the knowledge of Kubernetes and Micro-service Architecture.

• Prior development experience with open-source multimedia frameworks such as Gstreamer, FFMPEG, V4L2

• Comfortable working in a multi-site team, be a great communicator, and have the skills and experience to help us deliver high quality software on a schedule.

Ways to stand out from the crowd:

• Prior development experience with VMS systems and the ONVIF protocol specification

• Experience with NVIDIA Multimedia and GPU-accelerated SDKs

• Experience with complex system-level debugging, data-flow analysis and profiling

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you strive for excellence, are self-motivated and enjoy having fun, then don't wait-- apply today! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At NVIDIA, we build groundbreaking products for the following sectors: Gaming, Deep Learning, Automotive, Embedded and High Performance Computing. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level metrics library that you helped to craft as a member of the Profiler Foundations Developer Tools team. We are seeking a senior software developer to join our effort to advance the state of the art of software performance tuning applications for GPU/SoCs. You will apply your knowledge gained of current and future NVIDIA chip architectures to improve our tools that provide meaningful feedback to application developers.

As a software engineer in the Developer Tools organization, you will be establishing software solutions for a variety of platforms such as PC’s, Embedded Systems, Servers working directly with our GPUs/SoCs at a low level. You should be comfortable working in existing driver code and application code as well as writing new shared libraries and targeted performance tests. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's world-class technology.

What you’ll be doing:

• Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs/SoCs.

• Invent and improve our GPU/SoC profiling library with new features to allow developers to extract the best performance out of their applications.

• Understand and use the NVIDIA GPU/SoC performance monitoring system

• Get an opportunity to develop new tools for GPUs/SoCs running on several platforms.

What we need to see:

• B.S. EE/CS or equivalent experience with 3+ years of work experience or MS with 2+ years experience, or Ph.D.

• Strong programming ability in C, C++.

• Knowledge of computer architecture (preferably ARM CPUs/ SoCs or GPUs)

• Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level

• Experience working in device drivers, embedded systems, or other low level library development

Ways to stand out from the crowd:

• Background including shipping device drivers or system software

• Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan

• Prior experience authoring developer tools, particularly for GPUs or SoCs

• Experience in performance analysis, particularly of embedded system applications

• You have worked on computer algorithms and proven ability to choose the best possible algorithms to nail complex problems

• Knowledge or experience in compute architecture, operating systems, and compilers.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most motivated people in the world working for us. If you are creative and self driven, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, colour, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

At NVIDIA, we build groundbreaking products for the following sectors: VR, Gaming, Deep Learning, Automotive, and High Performance Computing. Among these, are tools to debug, profile and analyze the performance of their systems/applications used by developers around the world. We are seeking a software developer to join our effort to advance the state of the art of software performance tuning applications that use GPUs.

As a software engineer in the Developer Tools organization, you will be establishing software solutions for a multitude of platforms working directly with our GPUs at a low level. You will have direct impact on the performance analysis software mechanisms that our team provides. You should be comfortable working in existing driver code and application code as well as writing new shared libraries and targeted GPU performance tests.

What you’ll be doing:

• Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs.

• Innovate and improve our GPU profiling library with new features to allow developers to extract the best performance out of their applications.

• Understand and use the NVIDIA GPU performance monitoring system

• Develop features for new tools for GPUs running on a variety of platforms ranging from embedded systems to supercomputers.

What we need to see:

• B.S. EE/CS or equivalent with 4+ years of experience or M.S. or equivalent with 2+ years of work experience.

• Strong programming ability in C, C++.

• Familiarity with computer architecture (e.g.: x86, ARM CPUs, GPUs)

Ways to stand out from the crowd:

• Background including shipping device drivers or system software

• Knowledge of GPU API's such as: CUDA, OpenCL, OpenGL, Direct3D, Vulkan

• Prior experience authoring developer tools, particularly for GPUs or games

• Experience in performance analysis, particularly of GPU applications

• You have worked on computer algorithms and proven ability to choose the best possible algorithms to nail complex problems

• Ability to read and write assembly language for multiple processor architectures.

• Knowledge or experience in compute architecture, operating systems, and compilers.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most motivated people in the world working for us. If you are creative and autonomous, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

NVIDIA is groundbreaking on a variety of fronts, including artificial intelligence, deep learning, robotics, autonomous vehicles, computing and, of course, bringing GPU to cloud. It is a very exciting time to be at NVIDIA! NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Virtualization team. As a member of this core team, you will be working with highly motivated and hardworking engineers. As someone who is hardworking and passionate about their work, you must be proactive, able to work independently & multi-functionally, multi-task and thrive in a multifaceted work environment.

What you’ll be doing:

• Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.

• We work on next-generation GPU hardware and software features through all phases of development and you will get an opportunity to work across user and kernel stacks.

• Engineers also work on customer issues and provide timely root cause of the problem and resolution.

• Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.

What we need to see:

• BS degree or higher or equivalent experience (computer science or related).

• 5+ yrs of industry experience.

• In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.

• Proficient in C/C++ with strong software development, optimization and analytical skills.

• Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.

• Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.

Ways to stand out from the crowd:

• Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.

• Knowledge of DX/OGL graphics technologies, WDDM model.

• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).

If you are driven to envision, define and deliver what’s next for the industry and your career while unlocking your full potential, come to NVIDIA. You will have the opportunity to grow in our flexible and dynamic environment, challenge your thinking, and influence the future of technology. NVIDIA is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is looking for hardworking Front-End engineers to join our GeForce Now Application Engineering Team. In this role, you will play a significant part in helping to craft and guide the future of Cloud Gaming experience. This position includes working with engineering peers and leaders to understand software requirements and build a next generation AI powered UI framework for cloud applications that meets user experience goals.

GeForce NOW is NVIDIA's Cloud Gaming service streaming games at the highest quality to any and every user regardless of their device types and capabilities – low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details see https://www.nvidia.com/en-us/geforce/products/geforce-now/

What You’ll Be Doing

• Designing, developing, testing, and deploying web applications using modern UI technologies and frameworks.

• Developing complex, responsive UI and web applications

• Optimize application for maximum performance, reliability and scalability

• Develop and optimize front-end UI to ensure applications are rendered consistently in cross-platform low performance environments.

• Build front-end code templates using HTML5, CSS, JavaScript, and JSON/XML as well as JavaScript frameworks such as jQuery AngularJS, React, NodeJS, and GruntJS, Chromium Embedded Framework (CEF)

• Work with multi-functional and distributed teams, including machine learning engineers, to deliver integrated and innovative solutions.

• Collaborate with the cloud team to integrate backend services with cloud platforms (such as AWS, or Azure), optimizing performance, and ensuring scalability and reliability.

• Fixing and debugging issues across the full stack and optimizing the performance and usability of the web applications.

• Prototype and develop new ideas and participate in all parts of the lifecycle from research to release.

• Follow industry trends with regard to front-end technologies and techniques and working with Architects and Jr Engineers in the team to learn, develop, and maintain UI applications.

What We Need To See:

• B.E./MTech in Computer Science or equivalent experience

• 8+ years of working experience in end user facing UI development using various UI frameworks.

• Track record of building large scale applications

• Experience developing against a multitude of modern UI frameworks and libraries like Angular, React, Grunt and Node.

• Experience with cloud infrastructure and cloud scale software and experience with Continuous Integration and Continuous Delivery

• Motivation to learn and establish standard methodologies and help bring in changes to improve the product.

• Innovative - Innovation is highly regarded in the org, ability to think above and beyond and help build innovative solutions.

• Experience presenting with and handling the expectations of both technical and non-technical partners and experience with Git and Jenkins as well as hands on knowledge on application security

Ways To Stand Out From The Crowd:

• Proven experience in architecting and developing sophisticated software systems with elegant solutions, preferably in the field of end user facing consumer applications, AI applications.

• Show previous experience with developing cloud-based applications at scale.

• Experience with both backend and frontend.

• Knowledge of the HTTP protocol

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Technical Program Manager - Infrastructure, Planning and Process

Do you want to be responsible for the planning and execution of programs to help accelerate the production of NVIDIA's technology whether it be Gaming, Self-Driving Automobiles, HPC, Accelerated Analytics, Deep Learning and Machine Learning solutions? We are looking for an expert Technical Program Manager to partner with our infrastructure gurus! Collaborate with a wide range of internal and external partners and leaders to define and build solutions to optimize the development of NVIDIA products for deployment. We will work together to develop relationships and build scalable and efficient infrastructure!

What you'll be doing:

• Make hands on contribution driving software development, planning and execution

• Building common strategies and efficiencies and persuading multiple teams of the advantages

• Lead communications with cross-functional teams to settle on the project scope, including objectives, strategy and insights, requirements, and metrics

• You will also analyze and offer the scope, schedule, and staffing trade offs to ensure teams' work-life balance.

What we need to see:

• Able to think strategically and tactically and to build consensus and collaborative teamwork to make programs successful

• High attention to detail and shown ability to lead multiple shifting priorities and changing requirements with minimal direction.

• Highly motivated with strong communication and presentation skills, you have shown to successfully drive multi-functional teams, principles and architects and coordinate optimally across organizational boundaries and geographies.

• Foresee risks and develop risk management solutions as appropriate

• Accurately represent the vitality of issues and advance issues appropriately.

• Adaptable and keen on process improvement to improve development efficiency and accountability

• A Bachelor of Science Degree in Computer Science, or equivalent experience.

• 8+ years of proven working experience in related fields such as Software Technical Program/Project Management

• Located in our design center in Pune, India

• Nvidia provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Ways to stand out from the crowd:

• Ability to work with an outstanding team of software engineers, Software developer experience would be an add-on benefit but not a requirement.

• Proficient with Waterfall and Agile project management methodologies; experience leading standup meetings

• Hands-on experience with scripting languages (Python, LUA, Perl experience is a huge plus)

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Senior Software Engineer, passionate about advancing and growing Enterprise Integration and API platforms. As a key member of the team, you will contribute to architecting solutions using MuleSoft with an emphasis to develop and scale unified API platform, constructing scalable applications, and crafting integrations for a diverse range of Enterprise scale applications. Collaboratively, we aim to design sophisticated capabilities for building and deploying leading solutions across diverse AI applications like autonomous vehicles, healthcare, virtual reality, graphics engines, and visual computing.

What you'll be doing:

• Architect and construct scalable, distributed API and Integration pipelines crucial for empowering the IT's Unified API Platform.

• Collaborate with various Product/Engineering teams to comprehend their data and computing requirements (SW, HW, Automobile, AI) and integrate innovative algorithms into production systems.

• Devise solutions for intricate business processes spanning Planning, Order-to-Cash, Cloud solutions, and extensive data migration.

• Design and develop interfaces and microservices in MuleSoft, facilitating the ingestion, indexing, mining, transformation, and composition of large datasets for real-time processing. Formulate comprehensive error handling and fault tolerance mechanisms.

• Automate all aspects of measuring, testing, updating, monitoring, and alerting.

What we need to see:

• Bachelor’s and/or master’s degree or equivalent experience in Computer Engineering, or related technical field, with MuleSoft Professional certification.

• 7+ years of proven experience in Enterprise Integration and API framework worked on crafting and developing software with microservices, integration patterns, reusable artifacts in heterogeneous applications, systems & external partners using MuleSoft.

• In-depth knowledge of the entire API development lifecycle, from design and build to governance and management.

• Proficient in designing and developing Service Oriented Architecture (SOA) concepts, encompassing REST, GraphQL and SOAP-based services. Experienced in crafting enterprise services using RAML and REST-based APIs, with a strong background in Agile methodologies.

• Proficient in Java, Node.js, XML, JSON, REST, SOAP, and other web technologies and protocols.

• Skilled in writing multi-threaded processes using MuleSoft APIs, Mule batch jobs, and Mule flows with the latest Mule Runtime version.

• Proficient in building CI/CD frameworks using tools like GIT, Jenkins, Jfrog, and Splunk for log monitoring.

Ways to stand out from the crowd:

• Experience with building real-time integrations with ZERO-downtime thoughts, beyond applications to infrastructure, active directory

• Prior experience demonstrating knowledge of Integrating Business process in functional areas like Planning, Order-to-Cash, Operations, and Finance.

• Knowledge/Experience with other Integration tools like SAP Integration suite, Cloud Integration - Data Services.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a world class engineer to join its Infrastructure, Planning and Processes organization. The position will be part of a fast-paced crew that develops and maintains sophisticated build & test environments for a multitude of hardware platforms both NVIDIA GPUs, Tegra and Enterprise platforms across various operating systems (Windows/Linux/Android).As part of the Sanity Engineering Team, you’ll be working with various product and SW teams within NVIDIA and build solutions and automations to manage a very large-scale sanity infrastructure, associated processes and systems. 

What you’ll be doing:

• Participate in the design, implementation, and enhancement of automated large-scale SW testing infrastructures for the GPU, Enterprise, Automotive & Mobile Tegra platforms.

• Enhance and develop new modules for generic frameworks and harness in Python/similar languages.

• Develop, Improve and Maintain our infrastructure codebase.

• Working with software engineering teams and product teams to ensure that our software is produced, tested, and delivered to the customer in a consistent and effective manner.

• Develop and implement test plans, modification of existing test infrastructures, create new test suites as needed and perform code reviews for peers.

• Participate in bring up tasks for new GPU, Enterprise and Tegra platforms/chips.

• Debug & fix existing and new tests, system configurations and hardware setups.

What we need to see:

• Strong object-oriented programming background in Python, including design patterns.

• Experience with Linux and windows development programming tools.

• Good problem-solving skills and experience in designing large system.

• Strong understanding of CI/CD systems with experience in dockers & virtualization.

• Proficient with configuration management tools like Ansible/Chef/Puppet.

• Experience of maintaining cloud infrastructure and highly available production environment.

• Background with source code management and binary repository systems like P4, GitLab, GitHub, Artifactory etc.

• 8+ years of proven experience.

• Bachelor’s or Master’s degree in computer science, Software Engineering, or equivalent experience.

Ways to stand out from the crowd:

• Ability to analyse situations and utilize troubleshooting skills, systems and tools, and problem-solving abilities.

• Experience with data analytics/visualization tools like Kibana, Grafana, Splunk etc.

• Prior experience with managing large-scale infrastructure.

• Outstanding interpersonal skills and communication.

• Background with computer algorithms.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for decades. Today, we are increasingly known as “the AI computing company” — with the GPU deep learning ignited modern AI, acting as the brain of computers, robots, and self-driving cars etc. We are hiring System Software Engineer who will help build outstanding simulators for GPU and SOC products. Simulations play a meaningful role in building scalable systems at Speed of Light! You will work with world class engineering teams across HW and SW to build scalable simulation platforms for SW development not only in pre-silicon stage but even after the HW platforms are available.

What you’ll be doing:

• Drive requirements, architecture, and roadmap of best-in-class GPU & SoC Simulation Platforms.

• Build & enhance simulator with new SOC features, improve simulation performance, fix bugs across user and kernel stacks & automate system for regressions testing.

• To bringup full SW stack on SoC Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally.

What we need to see:

• BE degree or higher (Computer science or equivalent experience).

• 5+ years of relevant experience.

• Proficient in C / C++ programming with strong user & kernel mode debugging skills in multi-threaded environment.

• Clear understanding of OS fundamentals, computer system architecture and lowlevel interfaces such as buses, controllers, interrupts etc.

• Working experience on both Linux & Windows environment. (Programming, debugging, modular make/build system etc.)

• Strong articulation skills for crafting and improving technical documents and to engage globally distributed engineering team.

Ways to stand out from the crowd:

• Experience in virtualization, hypervisors & building HW simulators, like in Qemu, KVM, VDK, SIMICs etc.

• Experience in HW & SW stack bringup using Simulators & Emulators etc.

• Understanding of the Windows OS internals, kernel mode debugging & Driver Model (WDM/WDDM/MCDM etc).

• Familiarity with hardware interfaces such as DDR4/5, PCIe, SPI, or I2C and with Linux Boot or Core Boot solutions on ARM class platforms.

NVIDIA is committed to cultivating a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's Deep Learning GPUs have ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world. 

We are looking for passionate Application Software Engineers to develop and productize NVIDIA's DRIVE software. As a member of NVIDIA's Automotive Solution Engineering team, you will help craft the application software architecture by working closely with partners developing on our platform and collaborating with internal teams. In addition, you will also be involved in the advancement and refinement of the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to find creative solutions. NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative engineers to help us tackle more of these exciting opportunities in autonomous driving!

What you'll be doing:

• Be the trusted technical expert to our partners and customers on NVIDIA’s DRIVE software application architecture.

• Shape the application architecture internally by collaborating closely with architecture and software development teams.

• Responsible for integrating different hardware and software components optimally for customer solutions and verification via profiling, benchmarking and evaluation activities.

• Drive bring-up activities and provide technical support to resolve hardware and software issues.

• Customize, reconfigure and rebuild processing pipelines in NVIDIA’s DRIVE software

• Perform in-vehicle and simulation test drives and deep analysis on the recorded data

• Collaborate with our global engineering teams in our US, APAC, India and Europe locations to deploy the solution to our customers.

What we need to see:

• BS/MS EE/CS or equivalent experience

• 8+ years of work related experience in software development related to deep learning and/or autonomous driving technologies

• Prior experience in application development and familiarity with autonomous driving related middleware frameworks

• Prior experience in autonomous driving functions

• Excellent C/C++ development skills with good knowledge of Python and scripting languages

• Excellent understanding of autonomous driving platforms

• Good understanding of various OS environments such as Linux, Android, or Real-time operating systems

• Ease of adapting to new technologies and platforms

• Ability to adapt to fast paced development lifecycles and multi-functional organizations

Ways to stand out from the crowd:

• Experience with automotive design processes and norms (e.g. ISO 26262, ASPICE)

• Prior experience with in-vehicle testing, simulation and metrics development of autonomous driving systems.

• Prior experience with test vehicle bring-up and data collection campaigns.

• Hands-on experience resolving complex interdependent issues emanating from sensors to other embedded controllers on the vehicle.

• Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. 

We are now looking for a Sr. Site Reliability Engineer (SRE), Data Science Platform. At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. We are looking for an excellent Sr. Site Reliability Engineer with extensive data infrastructure experience for our data science platform supporting NVIDIA's cloud platform services. Our data science platform serves as the basis for advanced real time data analytics, streaming, data lake and sophisticated ML/AI training with offline/online inferencing for NVIDIA's cloud services.

Site Reliability Engineering is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. SRE at NVIDIA ensures reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. SRE is also a mindset and a set of engineering approaches to running better production systems and optimizations. The person in this position will be responsible for Service Response and Workflows and will drive tools/service development to maintain and improve service SLOs.

What you’ll be doing:

• Working on building tools to improve the SRE Observability.

• Rapidly debug and triage incidents and user-reported issues.

• Make valuable contribution to the overall health, performance, and reliability of Nvidia's Cloud Data Science platform and Infrastructure Services.

• Taking ownership of automating, scripting, and tooling of new/existing scripts to help the team achieve 100% automation of daily tasks.

• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.

• Clear SRE Observability understanding and experience in building new tools and automation using Python/GO.

• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.

• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.

• Practice balanced incident response and blameless postmortems.

• Be part of an on call rotation to support production systems.

What we need to see:

• MS or BS in Computer Science/Engineering or a related field or equivalent experience.

• 5+ years Site reliability engineering experience working on large scale distributed micro services in a production environment with a real passion for automation and tooling.

• SRE approach and who can understand Error budgeting, SLO’s, SLA’s.

• Clear understanding on Incident management, change management and problem management process. Ability to detect all service-impacting issues, accurate triage, partner communication, impact containment, service restoration, and post-incident follow-up.

• Proven strengths in problem-solving and root causing issues, while continuously seeking ways to drive optimization, efficiency and the bottom line.

• Strong experience on streaming data infra services involving web services, Kafka, Spark etc.

• Expert knowledge with building and operating large scale observability platforms for monitoring and logging (ELK, Prometheus etc)

• Excellent interpersonal skills including the ability to identify and communicate data driven insights

Ways to stand out from the crowd:

• Experience with operating large scale distributed systems with strong SLAs.

• Excellent scripting: Python, GO.

• Strong experience on operating data platforms.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also proven to be unbelievably effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.

In your role as the Director of TPM (Technical Program Manager) and Geo Manager within our global IT PMO team, you will be responsible for overseeing a range of programs and projects related to Infrastructure, Automation, AI, Enterprise applications, Data, and Cloud in the corporate IT domain. Your responsibilities will include clarifying and scrutinizing objectives, crafting roadmaps, evaluating complexity and risks, addressing obstacles, and collaborating with a team of highly skilled technical professionals to deliver high-quality solutions efficiently and swiftly.

Collaborating with senior IT leaders, you will be accountable for the worldwide implementation of our IT enterprise strategies and programs, ensuring adherence to our PMO processes through consistent and timely execution. Your role will involve evaluating the health of programs, offering insights for necessary corrections, and facilitating the prompt resolution of issues as they arise. In the capacity of Geo Manager, your role involves serving as a liaison, representing the CIO and their leadership team in interactions with local site leaders. This includes managing service encouraging close teamwork and engagement, and participating in site-level leadership forums.

What you'll be doing:

• Formulate the roadmap and coordinate the implementation of a diverse range of IT Programs and projects.

• Engage with regional business owners to comprehend the business roadmap, priorities, and facilitate the alignment of IT operations with business objectives.

• Regularly connect with team members to lead expectations and provide project updates on scope, budget, and velocity.

• Champion regional Initiative prioritization, aiding in the management and delivery of established standards and processes.

• Propel consensus on standard methodologies in sourcing strategy, MSP utilization, and metric and SLO measurement.

• Handle RESS/Space planning across the geography.

• Collaborate with partners and the procurement team for contracts and negotiation strategies.

• Implement IT policies and practices in the region, considering country-specific regulatory requirements.

What we need to see:

• Bachelor’s degree in computer science or other related technical field or equivalent experience.

• 15+ Years of IT experience, 10+ years of experience successfully leading technical programs in a fast paced, multifaceted, enterprise environment with at least 3+ years’ experience as a geo lead.

• Technical capability in Infrastructure, RESS/Build concepts, AI concepts including Generative AI, AIops, SecOps, Enterprise search products.

• Business Intelligence/visualization tools experience.

• Proven track record of delivering solutions when needed, while navigating a fast-paced environment with frequent shift in priorities.

• Strong communication skills both written and verbal/presentations. Ability to bridge from high-level objectives to project details and vice-versa.

• Ability to engage with IT & business leaders to unblock/advance projects as needed.

• Ability to thrive within an agile framework.

• Willingness to work with distributed team members across different time zones.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy having fun, then what are you waiting for? Apply today! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the most resourceful people in the world. Join us at the forefront of technological advancement.

NVIDIA is looking for Speech Data Scientists to develop high-impact, high-visibility Speech AI product "Riva" & improve the experience of millions of customers. If you're creative & passionate about solving real world conversational AI problems, come join our Riva Product engineering team. For more details on Riva check https://developer.nvidia.com/riva

What you’ll be doing:

• Train Speech Recognition (Acoustic, Language, Punctuation), Speech-to-text translation (AST), and Speech-to-speech (S2S) translation models.

• Develop and maintain speech processing blocks and tools (alignment, segmentation, normalization etc.)

• Improve processes for speech data processing, augmentation, filtering & Training sets preparation.

• Measure and benchmark model performance.

• Gather knowhow on speech datasets for training & evaluation.

• Collaborate with various teams on new product features and improvements of existing products.

• Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.

• Lead and mentor junior team members

What we need to see:

• Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 5+ years of experience.

• Excellent programming skills in Python, Strong fundamentals in Programming, optimizations and Software design.

• Hands-on experience on Speech Technologies like Automatic Speech Recognition, Speech Command detection, Text to Speech, Speaker Recognition and Identification, speaker diarization, Noise robustness Techniques, Voice activity detection, End of utterance detection etc.

• Strong knowledge of RNN-T, CTC, and transformer decoders.

• Strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers.

• Know-how of Deep learning applications to Speech and NLP

• Experience with leading efforts and/or teams developing Speech AI products.

• Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, etc.

• General background around version control and code review tools like Git, Gerrit, Gitlab.

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

Ways to stand out from the crowd:

• Experience developing end-to-end and unified speech recognition and translation systems for multiple languages

• Strong C++ programming skills.

• Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT

• Background with Dockers and Kubernetes

• Background with deploying machine learning models on data center, cloud, and embedded systems

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, Speech AI and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you.

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and intelligent assistants. Come join the team and see how you can make a lasting impact on the world! We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. NVIDIA is looking for a System Software Engineer to develop tools for building powerful, flexible, multi-modal AI agents driven by Large Language Models(LLM) & improve the experience of millions of customers. If you're creative & passionate about solving real world conversational AI problems, come join us.

What you’ll be doing:

• Build GPU accelerated scalable LLM driven Retrieval Augmented Generation(RAG) workflow and build a scalable microservice based architecture deployable on multi-node, multi-cloud environment

• Build domain specific agents and workflows and build a framework which can support multi-turn, multi-modal, multi-user conversations with a LLM driven agents.

• Develop knowledge discovery, and reasoning capabilities including but not limited to disambiguation, clarification, and anticipation for dialogue systems

• Evaluate and benchmark end to end RAG and conversational AI agent pipelines for accuracy as well as system performance

• Analyze RAG and conversational AI agent end to end accuracy and limitations and recommend the next course of action & Improvements.

• Characterize performance and quality metrics across platforms for various AI and system components

• Collaborate with various teams on new product features and improvements of existing products. Customize and integrate the conversational AI framework with other NVIDIA products

• Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews and help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.

What we need to see:

• Bachelor's degree or Master’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math

• 2+ years of experience

• Excellent programming skills in Python

• Knowhow of Large Language model applications

• Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline

• Hands-on experience on conversational AI Technologies like Large Language Models, Information Retrieval, Natural Language Processing, Dialogue systems (including system integration, state tracking and action prediction), Question and Answering, etc.

• General background around version control and code review tools like Git, Gerrit, Gitlab.

Ways to stand out from the crowd:

• Strong fundamentals in Programming, optimizations and Software design

• Strong knowledge of ML/DL techniques, algorithms and tools with exposure to Transformers (BERT, GPT, Megatron), Language Models

• Know how of vector databases and embedding models

• Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT

• Background with deploying machine learning models on data center, cloud, and embedded systems

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.