Nvidia Internships Autonomous Vehicles Robotics jobs at Nvidia

What you'll be doing:

• Lead, build, and drive the architecture and engineering alignment for key automotive customer projects through all phases, from bringup to production and post-production, using the DRIVE platform.

• Architect and build a seamless integration environment to amplify the scalability of our software solutions for our partners.

• Collaborate with senior leaders across the company to evolve the product initiatives, roadmaps, and processes. Drive innovation bringing in new technologies.

• Lead bring-up activities and provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.

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

What we need to see:

• BE/BS or MS in computer science, robotics, computer engineering, or equivalent experience.

• Understand the technological evolution in the self driving industry.

• 15+ years of deep hands-on technical experience.

• Extensive strong technical leadership experience across large-scale organizations.

• Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.

• Broad and deep technical knowledge across software and hardware.

• Proven ability to lead teams across multiple hardware, software and business groups through design and implementation.

• Excellent communication and interpersonal skills and the ability to influence large organizations in meaningful ways.

Ways to stand out from the crowd

• Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.

• Software development experience on QNX or equivalent RTOS.

• Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.

• Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform.

• Contributions to or ownership of open-source project and mentorship experience.

What you'll be doing:

• Design and implement triggering systems and deploy containerized orchestration pipelines for distributed map creation, maintenance, and evaluation from crowdsourced vehicle data

• Develop map quality detection systems including automated hotspot detection algorithms and human-in-the-loop review workflows for large scale map validation

• Develop Python, C++, and JavaScript tools for map management, data validation, on-vehicle testing, and web-based geospatial visualizations

• Build C++ modules for on-vehicle map integration with perception, localization, and other consumers to ensure end-to-end validation of the maps' impact on driving performance

• Work with embedded systems and real-time constraints to optimize map consumption by autonomous driving software

• Collaborate with perception, planning, and operations teams to improve map quality and real-time driving performance

What we need to see:

• BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)

• 5+ years of proven experience building production data pipelines, distributed systems, mapping infrastructure, or map to vehicle integration

• Strong C++ programming skills for performance-critical algorithms, data processing tools, and on-vehicle software

• Strong Python programming skills for automation, workflow orchestration, and API development

• Proficiency with JavaScript for building web-based tools, visualizations, and internal dashboards

• Hands-on experience with Airflow or similar workflow orchestration frameworks

• Experience with Docker, Kubernetes, and cloud platforms

• Experience with Protocol Buffers, gRPC, and REST API design

• Excellent problem-solving skills and ability to debug sophisticated distributed and embedded systems

Ways to stand out from the crowd:

• Extensive experience with SD & HD mapping and autonomous vehicle software architectures

• Deep understanding of how maps are consumed by localization, perception, and planning systems in autonomous vehicles

• Deep knowledge of road topology generation, analysis, and graph partitioning algorithms

• Background with computer vision concepts pipelines (3D geometry, point clouds,structure-from-motion,COLMAP, SfM, visual odometry)

• Experience debugging and profiling performance on embedded platforms (NVIDIA Orin, Xavier, etc.)

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.

What you will be doing:

• Develop, evaluate, and build architectures for Level 2 to Level 4 self-driving driver support and self-driving vehicle technologies

• Characterize autonomous vehicle interactions relative to vehicle requirements to drive data collection for system training and verification

• Drive autonomous vehicle system verification activities, including architecture and design verification, test strategy development working with the System Integration & Verification Test Leads, and reviewing and prioritizing test results

• Lead and communicate data analysis, working with product and engineering teams to drive design decisions relative to requirements and system behavioral needs

• Develop methods to analyze and compare the impact of ODDs on relevant performance metrics, translating data and analysis into impactful recommendations

What we need to see:

• BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field, or equivalent experience.

• 5+ years of proven industry experience

• Strong analytics and architectural background in a development and production setting

• Experience in systems engineering, robotics development, or systems integration and test

• Strong leadership and interpersonal skills, with the ability to drive alignment between product development, engineering, and test teams.

Ways to stand out from the crowd:

• Experience with complex hardware and software systems

• Experience with software and/or tool development with a focus on modelling, analysis, utility languages such as Python. Success applying the systems V-Model to sophisticated engineering projects, ideally advanced driver assistance or autonomous vehicle systems and associated standards (e.g. ISO 26262)

• Deep technical background in at least one focus area of robotic systems development (e.g. sensing, perception, motion control)

• Experience with Model-Based Systems Engineering methods and tools, especially with Magic Cyber Systems Engineer / Cameo

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.

What you'll be doing:

• Leading the end-to-end product lifecycle, from new features to supporting new AI platforms, delivering multiple releases per year.

• Collaborating with cross-functional teams, including engineering, marketing, and sales, to successfully implement product strategies and roadmaps.

• Writing clear requirements, user stories, and compelling user experiences to ensure a quality product.

• Managing release schedules and coordinating with development teams to ensure timely delivery of enterprise software products.

• Applying sophisticated product management software to monitor progress, track metrics, and report on the success of product initiatives.

What we need to see:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

• Minimum of 8 years of experience in software product management.

• Extensive hands-on experience with compute, network, and storage technologies.

• Proven proficiency in release management strategies and adept utilization of product management software tools.

• Proven written and verbal communication skills. Ability to effectively connect with technical and non-technical stakeholders.

• Leadership skills! Remove obstacles. Resolve ambiguity. Comfortable presenting and defending your fact-based opinion or recommendation.

Ways to stand out from the crowd:

• Hands-on experience with NVIDIA Base Command Manager or Bright Cluster Manager

• Experience as an SRE, datacenter operator, infrastructure manager

• Experience with high-performance computing

• Background with Software Development Life Cycle

What you’ll be doing:

• You get the benefit of working with leaders across the NVIDIA organization in the NVIDIA leadership program in an apprenticeship model that will build you into a future senior business leader.

• Lead and complete short and long-term projects across a rotation of industries and product segments, working with leaders as a part of their team for an agreed timeframe. After several years, you will transfer over to one of these industries or a segment team full time.

• Planning and producing sales assets, marketing deliverables, and positioning crucial to educate companies on the necessity and value of artificial intelligence. Deliverables may include a combination of analytics (e.g., financial models), whitepapers (e.g., customer success stories), keynote presentations, and field enablement (e.g., sales decks).

• Help industry teams articulate their business development strategies to the CEO and WWFO Leadership

• Assist the CEO’s core team to articulate major customer and partnership announcements at global AI events!

• Helping to run the cadence of ongoing executive meetings for a very fast-paced sales environment.

• Develop domain expertise in chosen industries - able to meet, present, and partner with customer execs and developers on their issues, talk at the EBC, and run enablement training.

What we need to see:

• Bachelor's degree in a related business or technical subject or equivalent experience.

• 8+ years' work experience - at major consulting firms, OEM, CSP, ISV, or startup.

• A positive, can-do attitude with deep curiosity in NVIDIA tech-stack & AI

• Good cultural fit-focused, able to listen, understand and answer the question; looking for the best way to solve the problem at the speed of light, etc..

• Ability to Influence and motivate cross-functional teams to execute GTM initiatives, align around shared goals, and get results in fast-moving, complex environments.

• Excellent interpersonal, organizational, written, and verbal communication skills; able to quickly learn, distill, and synthesize complex subjects into clear, actionable insights.

• High tolerance for change, able to pivot, and deliver against many opinions.

• Works well in highly outstanding, matrixed organization where the mission matters more than the org chart.

• Power user with knowledge of AI LLMs, internet and office apps.

Ways to stand out from the crowd:

• Evidence of dedication to prioritizing multiple projects, relationships, and learning to adapt quickly to need.

• A real passion for getting things done in multifaceted sales and technology environment.

• Excellent interpersonal, organizational, written, and verbal communication skills; able to quickly learn, distill, and synthesize complex subjects into clear, actionable insights.

• Post-graduate or equivalent experience in a relevant field (e.g. MBA, computer science).