Total 9 Senior Executive level Education / Training job vacancies in Bangalore, India

[Contract Position]

This is a contract position, convertible to a permanent role subject to the performance and divisional requirements.

About Us:
SINDA is committed to providing high-quality education and learning resources to our students. We are seeking a dedicated and detail-oriented operational support coordinator to join our dynamic team. This role is crucial in ensuring the effective acquisition and delivery of teaching and learning resource materials, while maintaining adherence to governance protocols.

To know more about our Education Programme, click the following link:

https://www.sinda.org.sg/services/education/

Key Responsibilities:

1. The incumbent will support the management of operational and administrative functions related to procuring and delivering educational resource materials.
2. Responsible for database management and ability to analyze data for management to make informed decisions.
3. Able to work effectively under pressure, managing deadlines and adapting to evolving project requirements.

Inventory Management:

• Manage the inventory and supply of educational learning resources, including curriculum textbooks and e-learning applications/licenses.
• Coordinate distribution of resource materials to students and tutors at our learning centres.
• Ensure accurate resource tracking and management are aligned with timelines.
• Assist with the logistics of packing, shifting, collecting, and handing over deliveries to vendors (physical labour involved).

Procurement and Financial Management:

• Procure educational resources by adhering to Standard Operating Procedures (SOPs) and complying with Financial and Procurement guidelines.
• Demonstrate competence in procurement and supplier management.

Data Management:

• Perform accurate data entry in the Education Management System, regularly updating student and educational resource inventory data.
• Utilize Excel functions, pivot tables, and data visualization tools such as Power BI for data management and analysis.
• Interpret data effectively to provide insights that support informed decision-making processes.

Qualifications:

• Bachelor’s degree in Business Administration, Data Science, Project Management, or a related field
• Proven experience in project management and data analysis.
• Proficiency in Microsoft Excel and Power BI.
• Strong analytical skills with the ability to derive actionable insights from data.
• Excellent verbal and written communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• A collaborative and supportive work environment.

Our Welfare

We aim to take care of your well-being.

We provide

• Career development opportunities
• Flexible working hours
• AWS/ Bonuses
• Health insurance
• Wellness programmes

How to Apply:

If you are passionate about supporting education and possess the skills we are looking for, we would like to hear from you!

Please submit your resume and a cover letter outlining your relevant experience, current and expected salary information.

Only shortlisted candidates will be notified. We thank all applicants for their interest.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by SINDA to carry out its business in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about SINDA’s Data Policy, please visit https://www.sinda.org.sg/data-policy/

Job Summary:

BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment.

As a Senior Machine Learning Data Engineer, you will take problems and ideas from our clients and customer support teams, analyze what would be involved, whether the solution will solve the underlying problem, and plan and develop solutions with a small team. Ensuring the team is able to deliver the solutions you have planned in the required time. You should be able to provide your own ideas or problems that we are well-positioned to tackle. As with many problems within the Data Engineering space, defining effective pipelines to gather, curate, and manage the data is as important as selecting the best approach using ML techniques.

You will take responsibility for managing the end-to-end process, this means that you will own and plan the initial exploration of the data, the development of a solution, design the requirements for ongoing monitoring of the solution once it is released, and tackle any issues that arise from the solution. Solution ownership is a fundamental part of the role and it is expected that you would not only take this for the solutions you develop but support others to own and take responsibility for the solutions they are involved in. 

With support from other senior members of the wider team, you will take responsibility for supporting the work of a small group of Data Engineers, ensuring that they can deliver effective solutions on time. This will include supporting their progression and utilizing the tools that BlueOptima provides.

You will use tools ranging from advanced Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. This means both being able to suggest cutting-edge approaches to problems and just as importantly identifying when a simpler approach will provide an effective solution. 

Your team:

The Data Engineering team at BlueOptima accelerates value delivery for internal and external stakeholders by providing production-ready solutions & actionable insights. We cater to all products within BlueOptima, supercharging their success through data-driven innovation.

You will be working hand-to-hand with a diverse team with a variety of skill sets across the fields of Data Analytics, Machine learning & Artificial intelligence. The majority of the team is currently based out of our Bangalore office.

Responsibilities and tasks: 

• Solve business problems using advanced Machine Learning and statistical techniques 
• Led a small team of Machine Learning Data Engineers providing technical leadership to mid/junior-level team members
• Coordinate with internal and external stakeholders to understand requirements and opportunities to add value
• Identify opportunities to add value using Machine Learning across the business
• Identify and work to resolve bottlenecks in skills, technology, and processes restricting the team's ability to deliver excellence
• Exploring vast datasets, both structured and unstructured
• Foster a culture of ownership. Ensuring others own the final solution; coordinating with different teams including engineering and client-side teams to take a solution from exploratory analysis to deployed in production. 
• Facilitate taking solutions into production, through active participation with the internal development teams
• Spec the requirements to solve a problem identify the critical path and timelines and be able to give clear and defensible estimates quantifying any uncertainty
• Takes data-driven approaches to validate assumptions/issues and track progress on changes being implemented

What You Need to Succeed at BlueOptima: 

• Minimum of 4+ years' experience in developing solutions with at least 3+ years using Machine learning Algorithms in industry.
• Experience in leading and managing a team of ML/Data Engineers
• An in-depth understanding of a wide range of Machine Learning techniques, and an understanding of which approach is best suited for the problem at hand (structured and ill-structured)
• Strong statistical analytics skills demonstrated through data engineering or similar experience.
• Strong Python programming expertise in both applications and scripting simple solutions
• A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product.
• Strong written and verbal communication skills
• Strong interpersonal and time management skills

Good to have (Technical requirements/ Previous experience)

• Significant experience with NLP techniques.
• Experience working with managing software vulnerabilities in a coding environment.
• An understanding of defensive coding practises.
• Experience with automating tasks to maximise time for more important problems.
• Experience with PostgreSQL or similar Rational Database.
• Experience with Data Visualisation experience (via Grafana, Superset, Tableau, or similar) is preferable.
• Be comfortable explaining very technical concepts to non-expert people

Your career progression: 

At BlueOptima, we strive to strengthen your skills, widen your scope of work, and develop your career fast. For this role, you would have a choice in how you want to progress with us either become a more technical expert or taking on a larger team and a greater range of projects to manage. 

As part of Core LLM Team, we build and evolve Generative AI based solutions, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

Applied research scientists/engineers are expected to find innovative and cost-effective solutions to key problems, deliver high quality code, and work with product managers/machine learning engineers/performance, quality engineers to take the product to market.

ABOUT THIS JOB 

We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies. 

RESPONSIBILITIES

·   Managing clients and their respective projects custom research team in matters of market research based on experience in the Technology & telecommunications, FMCG industry,.

·  Reporting to a project lead, you will be responsible for the successful execution of customized quantitative studies, including project costing, questionnaire design, project management and execution, analysis and report writing.  

Client Management  

· Managing clients and their respective projects from beginning to end, including making actionable recommendations to support key business objectives  

· Consistently exceeding client expectations from project inception through completion  

Project Management  

· Successfully manage multiple projects simultaneously, all in different design/analysis stages  

· Proactively anticipating, troubleshooting, overcoming, and/or escalating challenges to your project lead in a timely manner  

· Coordinating project task activities between your project team and internal support/operations team(s)  

·  Consulting (Questionnaire Design, Analysis, Reporting & Writing)  

·  Assist in the development of strong and captivating proposals to meet client needs, based on short research briefs and/or elaborate RFPs; including assisting with costing structure, methodological design, analytical framework, etc.  

· Designing questionnaires/focus group screeners/interview guides to meet the specific or unique client objectives  

·Synthesis and communication of both primary and secondary research findings into actionable insights according to the client’s objectives  

· Full reporting and analysis (via PowerPoint): Interpreting and analysing multivariate data, drawing insightful conclusions and providing recommendations, where applicable.  

·  Provide "in office" research, administrative and operational support to senior staff  

·  Be directly accountable for work conducted for their nominated clients in terms of analyses, charting, etc and perform quality checks on all reports for alignment to request accuracy and correctness  

A LITTLE BIT ABOUT YOU 

 Experience in Primary Quantitative Market Research with practical knowledge of research methodologies 

· Proactive 

· Strong interpersonal skills 

· Very Good Influencing & Persuading Skills 

Tenure- 6 months (Maternity Cover)

To coordinate and provide suitable and effective teaching and learning resources to students and educators engaged through the Education division’s tuition programmes and closing the learning gaps of students in Primary, Secondary and Tertiary levels.

To know more about our Education Programme, click the following link:

https://www.sinda.org.sg/services/education/

Responsibilities

● Support in managing operational and administrative matters pertaining to the effective acquisition/ procurement and delivery of teaching and learning materials in accordance to organisational and divisional governance protocols and stipulated timelines

● Ensure data accuracy in the Education Management System and update with current student data

● Support in managing all matters pertaining to communication and correspondences with internal and external stakeholders such as Programme officers, vendors, students and key centre personnel.

● Support in managing the records of e-learning licenses

● Assist with collation of billing records

● Assist in managing the packing, shifting, collection and handover of the deliveries to the vendors

● Adherence to SOPs, Financial and Procurement guidelines

● Participate in Divisional and SINDA-wide events when required

● Any other duties as assigned by RO/ HOD.

Requirements

● Minimum Degree in any discipline

● 2-5 years of working experience in a similar role

● Meticulous, good decision and problem-solving skills

● Good time management skills

● Able to work independently and in a team

● Effective communication and interpersonal skills, including building and sustaining positive relationships with internal and external stakeholders at various levels.

● Proficient in MS PowerPoint and MS Excel for presentations

● Able to perform basic data analysis using Excel/Power BI would be an added advantage

● Knowledge of the Singapore Education landscape is an advantage

● Able to work outdoors

● Flexible to work on weekday evenings and Saturdays

This is a 6- month contract position.

Interested candidates are invited to send their resumes with current and expected salary information.

Only shortlisted candidates will be notified. We thank all applicants for their interest.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by SINDA to carry out its business in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about SINDA’s Data Policy, please visit https://www.sinda.org.sg/data-policy/

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

We are looking for a Account Research Senior Analyst to join our Marketing Operations team within our Marketing division. Your job will be to provide analytical and reporting support for athenahealth’s Marketing organization. But enough about us; let’s talk about you.

You are a person who will provide critical support to the Enterprise and Group Marketing teams, largely through conducting account-specific research on the 500+ health systems and medical groups in the Enterprise (ENT) and Group (GP) segments, as well as aiding in research for industry events targeting these segments

The Team: Marketing operations team provides operational support for athenahealth’s Marketing organization and responsible to ensure that timely and accurate US healthcare provider data is available for Marketing and Sales activities.

Job Responsibilities

• Completing comprehensive research and intelligence documents detailing the strategic, operational, financial, and other newsworthy aspects of Enterprise and Group accounts to inform sales and marketing.
• Supporting the coordination and execution of all aspects of the Enterprise and Group Marketing teams
• Working with a wide variety of team members to ensure alignment and follow-through on all campaigns, sales meetings, and events.

Typical Qualifications

• Bachelor of Arts/Science or equivalent degree required.
• A self-starter with a keen attention to detail, demonstrated ability to drive projects, and excellent follow-through.
• Curious, creative, and energetic problem solver

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 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. Join us at the forefront of technological advancement!

NVIDIA is looking for Senior Deep Learning Scientist, LLM (RAG, Model Alignment) and Tools to develop high-impact, high-visibility Large language modeI products and improve the experience of millions of customers using our NeMo LLM MLOps platform. If you're creative & passionate about solving real world conversational AI problems, come join our Digital Human LLM team. For more details on NeMo Frameworks for LLMs check https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/

What You’ll Be Doing:

• Develop, Train, Fine-tune, and Deploy multimodal large language models for retrieval augmented generation.

• Develop LLM agent framework for orchestrating large scale RAG applications

• Build LLM agent framework for reasoning and action prediction in multimodal environment.

• Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, and so on to improve LLMs for different RAG use cases.

• Measure and benchmark model and application performance.

• Analyze model accuracy and bias and recommend the next course of action & Improvements.

• Maintain model evaluation systems.

• Drive the gathering, building, and annotation of domain specific datasets to train LLMs for different tasks and applications.

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

• Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

• Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment and collaborate with various teams on new product features and improvements of existing products.

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 with strong fundamentals in programming, optimizations and software design.

• Solid understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs)

• Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc.

• Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization.

• Develop large scale multimodal information retrieval system leveraging open source frameworks such as LlamaIndex, LangChain, FAISS, Haystack and so one.

• Experience developing production LLM powered applications and tools with natural language interface.

• Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc).

• Experience using end-to-end MLOps platform such as KubeFlow, MLFlow, AirFlow.

• 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:

• Fluency in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic/ Korean / Italian / Portuguese

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

• Background with Dockers and Kubernetes and strong C++ programming skills

• Background with deploying machine learning models on data center, cloud, and embedded systems as well as experience developing document extraction for different documents types and sources, and indexing at scale

• Experience adapting LLMs to different domains such as automotive, health care, finance etc.

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, 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 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. Join us at the forefront of technological advancement!

NVIDIA is looking for Senior Deep Learning Scientist, Conversational AI who is passionate in areas such as, embodied AI, conversational AI, robotics (navigation, manipulation), AR/VR/MR, egocentric computer vision, grounded 3D perception, simulation and sim2real transfer, pre-training for embodied agents, and human-AI interaction, bringing to bear foundational knowledge from areas such as deep learning, reinforcement learning, computational statistics, and applied mathematics. You will have an opportunity to make core algorithmic advances and apply your ideas at scale using our NeMo LLM MLOps platform. You will develop high-impact, high-visibility Large language modeI products and improve the experience of millions of customers. If you're creative & passionate about solving real world embodied conversational AI problems, come join our Digital Human LLM team. For more details on NeMo Frameworks for LLMs check: https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/

What You’ll Be Doing

• Develop, Train, Fine-tune, and Deploy LLMs for driving embodied conversational AI systems including multimodal understanding, speech synthesis, image generation, UI and animation rendering and control, environment interaction, and dialog reasoning and tool systems.

• Apply innovative fundamental and applied research to develop products for embodied conversational artificial intelligence.

• Build novel data driven paradigms for embodied intelligence including customization recipes for different domains and enterprise use cases.

• Develop systems and framework using various data modalities (images, video, text, audio, tactile, etc) and the roles they play in different levels of embodied reasoning and decision making.

• Explore paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short horizon, low level to long horizon, high level.

• Enable long-horizon reasoning and facilitate low level skills for Embodied AI tasks.

• Apply alignment techniques such as instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, and so on to improve use cases.

• Measure and benchmark model and application performance and Analyze model accuracy and bias and recommend the next course of action & Improvements.

• Drive the gathering, building, and annotation of domain specific datasets to train LLMs for different embodied tasks and applications and maintain model evaluation systems and characterize performance and quality metrics across platforms for various AI and system components.

• Collaborate and innovate with various teams on new product features, improvements of existing products and participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

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 with strong fundamentals optimizations and software design.

• Solid understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers (ViT, BERT, BART, GPT/T5, Megatron, LLMs).

• Hands-on experience on conversational AI Technologies

• Experience with Training ViT, BERT, GPT and Megatron Models for different computer vision, NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing data wrangling and tokenization.

• Solid understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc).

• Strong collaborative and interpersonal skills, and optimally guide and influence within a dynamic matrix environment.

Ways To Stand Out From The Crowd

• Fluency in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic/ Korean / Italian / Portuguese.

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

• Background with Dockers and Kubernetes and deploying machine learning models on data center, cloud, and embedded systems and strong C++ programming skills.

• Experience developing all aspects of large language models.

• Integrating embodied AI systems with various sensor inputs

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, 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.