

What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
Develop applications and tools that bring data driven insights to development and test workflows.
Build tools/utility/framework inPython / C / C++ which would help automate and optimize the testing workflows in GPU domain.
Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
Generate and test compatibility across a range of products and interfaces.
Work closely with leadership to report progress by generating effective and impactful reports
What we need to see:
B.E./B. Tech degree inComputer Science/IT/Electronics engineeringwith strong academics or equivalent experience
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
Good experience with using AI development tools for test plans creation, test cases development and test cases automation
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
Experience working with databases and storage technologies like SQL and Elasticsearch
Good understanding of OS fundamentals, PC Hardware and troubleshooting.
Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage
Excellent written, verbal, analytical and problem-solving skills and ability to work with a team of engineers in a fast paced environment
Ways to stand out from the crowd:
Prior project experience with building ML and DL based applications would be a plus
Good understanding of testing fundamentals
Good problem solving skills (solid logic to apply in isolation and regression of issues found).
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך

What you'll be doing:
Lead documentation planning and prioritization sessions with cross-functional partners, embedding documentation requirements into Product Sprint Goal PRDs from day one
Manage documentation workflow using Kanban, maintaining clear ownership, dependencies, and status visibility while tracking delivery through sprint cycles and product releases
Champion Context Kits (structured prompts and guidelines) that help distributed teams build quality documentation with AI assistance, streamlining reporting and revealing operational insights
Report on critical metrics including coverage, cycle time, sprint predictability, and developer satisfaction, identifying blockers and resolving delivery impediments
Work closely with Technical Program Managers to integrate documentation checkpoints into release trains, facilitating backlog refinement, stand-ups, and retrospectives
What we need to see:
Bachelors Degree (or equivalent experience) with 8+ years in program management, technical operations, or agile delivery with strong proficiency in Jira, Confluence, and agile tracking tools
Proven track record coordinating work across matrixed organizations with clear communication style—leading effective meetings, writing streamlined updates, and aligning collaborators
Active AI tool user (ChatGPT, Claude, Copilot, or similar) who demonstrates data-driven decision-making and can influence without authority across Product, Engineering, Marketing, and Customer Success
Ways to stand out from the crowd:
Experience coordinating developer documentation in platform or SaaS companies, working alongside Technical Program Managers in complex product organizations
Hands-on experience with Agile/Scrum/Kanban, continuous delivery, and docs-as-code workflows (Git, Markdown, static site generators)
Demonstrated process improvements that measurably boosted team efficiency, with knowledge of developer platforms, SDKs, APIs, or simulation technologies
Background in gaming, graphics, AI, or high-performance computing with proven AI workflow optimization—status reports, meeting summaries, workflow analysis, documentation reviews
Developed tailored GPTs, prompt libraries, Context Kits, or reusable templates that optimized team efficiency and content quality
You will also be eligible for equity and .

Are you a rare mix of technical depth, ecosystem savvy, and
What You’ll Be Doing:
Engage and support ISVs, system integrators, and manufacturers using AI to transform industrial operations.
Partner with developers to help them integrate NVIDIA’s latest vision AI technologies into scalable industrial solutions.
Collaborate with product, engineering, and marketing teams to amplify developer enablement and ecosystem growth.
Drive early adoption of NVIDIA Metropolis and related SDKs, ensuring partner success through hands-on guidance and technical onboarding.
Identify and elevate lighthouse partners demonstrating best-in-class industrial AI use cases.
What We Need To See:
8yrs of proven ability in a technical or developer-facing role, ideally within AI, industrial automation, or OT systems integration.
Bachelor’s or advanced degree in computer science, engineering, or related field, or equivalent experience.
Proven success building and supporting developer ecosystems or partner networks.
Strong technical understanding of AI, machine learning, video analytics, or related technologies.
Excellent communication andrelationship-buildingskills, with the ability to convey complex technical concepts clearly across technical and business audiences.
Ability to collaborate multi-functionally to accelerate adoption and scale developer success.
Ways To Stand Out From The Crowd:
Experience applying AI in manufacturing or industrial automation, including computer vision, robotics, or digital-twin workflows.
Experience in manufacturing operations or adjacent industrial fields, with a deep understanding of the unique challenges, risk tolerance, and change-management dynamics that shape technology adoption in these traditionally conservative industries.
Hands-on familiarity with AI for computer vision, robotics, or NVIDIA platforms (Metropolis, Omniverse, CUDA-X)
Proven success enabling ISVs, manufacturers, or system integrators in sectors such as manufacturing, logistics, or energy, guiding them from pilot to scaled deployment.
Passion for helping developers and operators bridge the gap between innovation and production reality through intelligent, AI-powered systems.
You will also be eligible for equity and .

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
What you'll be doing:
Become a member of an Agile and multi-functional EDA software development team.
Participates in the development of tools that enable industry leading PCB electrical design, physical layout, and SI capabilities, for our system designers throughout the company
Leadership in this role involves assessing the requirements from the design community, build innovative solutions that continually improve our tools and processes.
What we need to see:
BS CS/CE/EE or related field (or equivalent experience)
3+ years of meaningful work experience
Proven history of delivering EDA / ECAD around Cadence System Capture and SPB Allegro Layout to aid system designers in sophisticated implementations.
Cadence SKILL or other CAD-level programming experience
System design and hierarchical sub-design
Familiarity with automation within common operating systems (Windows/Linux)
Experienced with databases (e.g.Oracle/MySQL/MongoDB)
Proficiency in Python and TCL
Good communication and documentation skills
Ways to stand out from the crowd:
Experience in the Cadence’ System Capture TCL API
Experience with a teamwork environment based on JIRA, Confluence, Git, CI, Perforce
Knowledge/experience with PLM systems
Knowledge in modern web technologies:JavaScript/TypeScript,
You will also be eligible for equity and .

What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources, including sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support robotics startups with their synthetic data generation strategy.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
6+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Experience in training computer vision and/or kinematic foundation models
Proven success in growing developer ecosystems through technical enablement.
You will also be eligible for equity and .

As a Software Engineer in Robotics at NVIDIA, you will play a key role in advancing the field of robotics by working on state-of-the-art technology and infrastructure. You will be part of a dedicated team focused on developing and deploying robotics systems that blend both simulation and real-world applications. If you are enthusiastic about building infrastructure that removes friction and directly enables a team's ability to iterate rapidly, while gaining exposure to the complex challenges of production-grade robotic software, this position is right for you.
What You'll Be Doing:
Drive exceptional developer experience and rapid iteration speed by targeting friction points in existing processes and delivering the vital technical infrastructure to ensure smooth, fast workflows.
Improve build systems, speed up CI pipelines, and streamline training workflows.
Demonstrate your understanding of the unique challenges in the robotics ecosystem to propose solutions that accelerate robot learning.
Integrate hardware-in-the-loop (HIL) testing into CI to verify robotics systems under real-world conditions.
Collaborate across team boundaries to identify the biggest challenges and the best solutions.
What We Need to See:
Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
8+ years of robotics software and build systems experience.
A strong, intrinsic drive to passionately pursue and eliminate development friction, bottlenecks, and toil.
Expertise in Bazel and CMake for codebases consisting mainly of C++ and Python.
Hands-on experience building reliable and scalable CI/CD pipelines (GitLab, GitHub).
Experience with automation of physical systems, such as Hardware-In-the-Loop test setups.
Proficient at resolving intricate issues when faced with uncertainty.
Excellent communication skills and a collaborative approach to working effectively with diverse teams.
Ways to Stand Out from the Crowd:
Practical experience with tools used in the NVIDIA robotics ecosystem such as Jetson, Isaac Sim, Warp, and CUDA.
Familiarity with advanced robotics concepts and real-world deployment challenges.
Experience with remote caching and execution with Bazel.
Demonstrated success in deploying intricate robotics systems across diverse settings.
You will also be eligible for equity and .

What you'll be doing:
You will be responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers.
Be the key point of contact and relationship owner for a defined set of banking customers
Grow NVIDIA presence and platform adoption across data science, line of business, and IT organizations
Build key accounts into strategic partners, and drive sustaining revenue, market share growth and product footprint
Work closely with cloud partners, OEMs, and ISV ecosystem partners to build and implement go-to-market plans to accelerate growth and adoption of the enterprise product family
Building winning capabilities and leading change
Contributing to the long term success of our team by being a collaborative leader amongst your peers. Consistently striving to improve and reinvent yourself.
Evangelize the use of NVIDIA's accelerated computing platform (inclusive of hardware, software, software development toolkits, and application frameworks) to your customers, prospects, and partners
25% travel required
What we need to see:
BA degree or equivalent experience
12+ years’ experience selling solutions to senior executives at named accounts
A passion for getting things done in a sales and technology environment
Demonstrated track record leading significant revenue and overachieving targets to meet stretch goals
Demonstrated ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally
Ways to stand out from the crowd:
Understanding of data science workflows, modern machine learning and AI trends
A strong interest in understanding new technologies and adept at conveying their value to business executives and software development leaders. Strong executive presence, polish, and political savvy
Track record of successfully growing revenue for new innovative technology based solutions
Excellent communication skills and ability to persuade -- using simple communications that convey sophisticated concepts in a compelling, concise, and creative way
Specific experience and relationships within the payments industry. Demonstrated ability to build and lead in a matrix-managed team culture
You will also be eligible for equity and .

What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
Develop applications and tools that bring data driven insights to development and test workflows.
Build tools/utility/framework inPython / C / C++ which would help automate and optimize the testing workflows in GPU domain.
Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
Generate and test compatibility across a range of products and interfaces.
Work closely with leadership to report progress by generating effective and impactful reports
What we need to see:
B.E./B. Tech degree inComputer Science/IT/Electronics engineeringwith strong academics or equivalent experience
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
Good experience with using AI development tools for test plans creation, test cases development and test cases automation
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
Experience working with databases and storage technologies like SQL and Elasticsearch
Good understanding of OS fundamentals, PC Hardware and troubleshooting.
Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage
Excellent written, verbal, analytical and problem-solving skills and ability to work with a team of engineers in a fast paced environment
Ways to stand out from the crowd:
Prior project experience with building ML and DL based applications would be a plus
Good understanding of testing fundamentals
Good problem solving skills (solid logic to apply in isolation and regression of issues found).
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך