Total 213 Senior Executive level Engineering job vacancies in singapore, Central Singapore

Role based in Sydney, Australia - Relocation Support Provided

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation.

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Machine Learning Engineer

Compensation: $190,000-$235,000 AUD including superannuation, plus employee equity plan grant & world class benefits.

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

About the Role:

• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
• Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
• Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
• Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
• Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.

About You:

• PhD in Machine Learning [Nice to have]
• Extensive knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling.
• 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
• Experience with Kubeflow (or similar), Tensorflow and Feature Store in a production environment is a massive plus.
• Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN.

This role is based in Sydney, Australia. Rokt will provide relocation and visa support to qualified candidates.

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. 

About The Benefits:

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance
• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! 
• Extra leave (bonus annual leave, sabbatical leave etc.) 
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.

If this sounds like a role you’d enjoy, apply here and you’ll hear from our recruiting team.

As a Senior Customer Success Engineer, you will be responsible for building and maintaining post-sales relationships with Dynatrace’s largest, most complex, and most valuable customers. A large percentage of the customers you engage with will be Enterprise customers from a Dynatrace spend perspective as well as some customers that are part of the Enterprise Success & Support program and have a mix of other dynatrace services involved. You will be a trusted strategic advisor, ensuring the successful deployment and adoption of all Dynatrace products. Customers hold CSE’s in high regard as experts and rely on you to guide them through ways of obtaining the most outstanding value from their Dynatrace solutions. You will align with customers' desired business outcomes, enable them on their existing products and services, and work with them to identify opportunities to expand into additional products and services, all while ensuring world-class customer experience, value, and satisfaction. 

As part of the account team, you will work closely with the entire account team to define the strategic roadmap for your customers, to allow retention, renewal, and expansion of their Dynatrace relationship, and serve as a liaison between the customer and the Dynatrace Support and Product Management teams.  

Responsibilities and Duties

• Constantly go above and beyond to serve our customers and be a shining, standard-setting example of our Core Values
• Triage, diagnose, and provide solutions to most complex configuration issues with Dynatrace solutions and non-Dynatrace integrations
• Strategise on the overall technical objectives and long-term goals of the customer and their business and strategic objectives
• Provide advice and guidance as the subject matter expert to ensure successful ongoing usage, adoption of the product, and foster growth of the customer’s footprint
• Be the customer’s advocate by knowing their goals and use cases, then suggesting process improvements, product adoption, configuration, and additional features to meet their requirements
• Provide web-based training to user groups to support organisational adoption
• Undertake discovery and education activities to identify opportunities for Dynatrace usage across organisational functions and processes
• Function as a frontline technical resource for “best practice” and informal customer questions
• Engage with Dynatrace customer support as a customer advocate to ensure speedy resolution of customer issues
• Engage with Dynatrace Product management as the customer advocate on product roadmap discussions
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Maintain current functional and technical knowledge of Dynatrace products and services
• Help to document best practices in developing and using Dynatrace
• Provides insight, advice, and ‘street credibility’ with technical teams to understand technical issues and possible workarounds.
• Has deep understanding of customers’ infrastructure, architecture, and business/regulatory requirements to speed up resolution.

This is for the Infrastructure team. 

Job Responsibilities

• Performing concept and detailed design of electrical systems including transmission and power projects
• Take responsibility for the assigned design components, including the necessary follow-up for approval from relevant authorities and clients.
• Assist in liaising and coordinating with Local Authority Departments to secure approval for design projects.
• Prepare design calculations, drawings, specifications, and tender documents for design projects under the guidance of senior engineers/managers.
• Work under guidance and supervision of a senior level team member.

Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole.

The Challenge

Ingesting data from multiple external vastly different sources at hundreds of rich data points per second, moving terabytes of data while processing it in real-time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires a highly reliable, stable, fault-tolerant infrastructure that can withstand multiple and varied uses and abuses by data analysts, data scientists, industry experts, and the end-users. Fast product iteration cycles necessitate a platform that allows engineers to deploy frequently, independently, and without in-depth knowledge of infrastructure complexities.

The Data Services Team is responsible for the developer platform, and the impressive Amazon AWS estate Vortexa uses to achieve its purpose. This includes two major areas of concern: infrastructure availability, security and costs, as well as developer experience. We use a wide variety of technologies like Kubernetes, Kubevela, Golang, Kafka, Opensearch, Airflow, Athena, and others.

You will be a key member of the small, globally distributed team, instrumental in assessing current technologies, delivering the best possible engineering experience with the shortest development iterations, helping crystallise, converge and standardise technology stacks and implementing the infrastructure roadmap, ensuring 100% uptime, availability, and fault-tolerance of every component of the platform, while optimising AWS costs. You will provide your customers such as data analysts, data scientists, and other engineers with a delightful developer experience tooling boosting their productivity, and allowing them to concentrate on business logic. You will codify and automate any operational knowledge gathered so that R&D can focus purely on creating value for our customers.

You Are:

• Determined to create infrastructure that gets out of the way with a great developer experience
• Excellent at troubleshooting unfamiliar code.
• Striving to be more skilled than Google with Kubernetes
• An AWS power user and evangelist
• Familiar with Apache Kafka and Kafka Streams – deployment, monitoring, resiliency, fault-tolerance, cluster planning and operations, applications debugging
• Experienced with ElasticSearch operations and usage
• Fluent in Terraform, and Go
• Familiar with cloud-native application design and deployment
• Not afraid of challenges and infrastructure troubleshooting
• A “can-do” person – “I’ve done my bit” has no place at Vortexa

Awesome If You:

• Are familiar with Airflow or other workflow orchestration tools
• Understand data lakes like Parquet, Orc, Athena

• Stock-options in a fast-growing, high-potential business
• An open, collaborative, and supportive working culture built on merit, which celebrates creative thinking and “getting things done.”
• The opportunity to work with AI-driven technology in a scale-up environment with commodity trading experts
• Private Health Insurance offered via AXA
• A flexible working policy- accommodating both remote & home working, with regular staff events
• Global Volunteering Policy to help you ‘do good’ and feel better

We are seeking an experienced Firmware Engineer to join our team to design, develop, and optimize firmware for embedded systems. The ideal candidate will have strong experience working with FPGA, ARM processors, and embedded software development using C, C++, and Python Scripting Skills. You will implement cyber security software / firmware solutions on ARM/FPGA based embedded systems.

Key Responsibilities:

●      Develop and maintain firmware for embedded systems, specifically targeting FPGA and ARM-based processors.

●      Design and implement real-time embedded systems using C, C++, and Python.

●      Write and optimize device drivers, board support packages (BSP), and low-level hardware interfaces.

●      Collaborate with hardware engineers to define system architecture and debug hardware/firmware integration issues.

●      Implement, simulate, and test FPGA-based firmware using tools like Verilog, VHDL, or SystemVerilog.

●      Work on bootloaders, and system diagnostics.

●      Perform unit testing and integration testing for firmware, ensuring system performance and reliability.

●      Contribute to code reviews, technical documentation, and design reviews.

●      Troubleshoot and resolve firmware issues, optimizing system performance.

●      Integrate and deploy AI/ML models (e.g., neural networks) into embedded devices for tasks such as anomaly detection, or predictive analytics.

Qualifications:

●      Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field.

●      3+ years of experience in firmware or embedded software development.

●      Strong proficiency in C, C++, and Python.

●      Experience with FPGA design and implementation using Verilog, VHDL, or similar hardware description languages.

●      Hands-on experience with ARM processors (Cortex-A, Cortex-R, or Cortex-M series) and associated toolchains.

●      Familiarity with embedded Linux and/or RTOS environments.

●      Experience with hardware debugging tools such as JTAG debuggers.

●      Strong understanding of real-time embedded systems, including hardware/software interfaces, peripherals (PCIE, UART, SPI, I2C), and memory management.

●      Excellent problem-solving and communication skills.

Preferred Qualifications:

●      Experience with PCIe, DDR, or high-speed interfaces.

●      Experience with scripting languages like Python for automating testing and development processes.

●      Knowledge of networking protocols and interfacing.

●      Familiarity with secure boot, encryption, and other security measures in embedded systems.

●      Experience with AI/ML frameworks such as TensorFlow Lite, PyTorch, or Keras, and knowledge of how to optimize them for embedded systems.

●      Hands-on experience with neural network architectures (CNNs, RNNs, DNNs) and deploying them on resource-constrained environments.

• Performance Bonus: Our company recognizes and rewards high performance with competitive bonuses tied to your results.
• Restricted Stock Units (RSUs): We issue RSUs to contributors, offering you a stake in the company's success and aligning your interests with our long-term growth.
• Career Advancement Opportunities: We provide clear career progression pathways and support your development to help you reach your full potential.
• Collaborative Work Environment: Join a team that values innovation, collaboration, and continuous improvement.