דרושים Director Product Planning Autonomous Driving ב-אנבידיה ב-China, Shanghai

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by exceptional technology and outstanding individuals. Today, we're tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of immersive digital worlds and creative applications. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.

• Establish and scale NVIDIA's neural graphics organization in China, building research and engineering teams

• Define and implement our neural graphics strategy for China and its integration into NVIDIA's graphics platform

• Build strategic partnerships with China's leading VLM and neural graphics research institutions and talent

• Lead recruitment of exceptional talent in neural rendering, vision-language models, and differentiable programming

• Drive research-to-product pipeline, translating China's VLM innovations into shipping products and platforms globally

• Architect system-level integration of neural graphics technologies across NVIDIA's platform ecosystem

• Represent NVIDIA across the world's graphics and AI research community, establishing thought leadership

• Partner with executive leadership to develop company-wide neural graphics strategy and roadmap

• Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience that is outstanding

• 12+ years experience, 6+ years leading teams

• Deep connections in the neural graphics research community

• Proven track record of building organizations and scale teams in fast paced technical domains

• Strong understanding of ML frameworks, VLM architectures, and AI technologies with experience bringing them to production

• Experience defining platform strategies with demonstrated research-to-product transfers and measurable business impact across global markets

• Excellent interpersonal and communication skills to lead across research, product, and executive teams in both Chinese and English

• Established thought leadership in neural graphics, VLMs, or AI-powered rendering with industry recognition

• Experience building successful research-industry partnerships in China's AI ecosystem

• Track record shipping graphics or AI platforms used by developers worldwide

• Conference presentations, publications, or awards in graphics, VLMs, or AI

• Experience establishing new technical organizations or regional presences

What you'll be doing:
Maturing and productizing new features entails a diversity of activities, including:

• Architecting new designs to enable new functions or to improve performance.

• Leading engineering efforts to develop, tune, and verify algorithms and software using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics.

• Debugging and addressing different issues identified in simulations and in test drives.

• Collaborating with our globally distributed team to enhance the software architecture, improving development processes and tooling

• Defining and verifying product requirements through detailed analysis,

  simulation
  , in-car testing, and benchmarking existing products.

• Maturing prototype software to production quality.

What we need to see:

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience.

• 10+ years of practical experience.

• Experience writing software in C++.

• Comfort with an Agile/Scrum software development environment using Gerrit (or similar).

• Comfort developing software with GIT in a Linux environment.

Ways to stand out from the crowd:
We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

• Experience shipping automotive software products, especially Autonomous Driving or ADAS.

• Exposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent.

• An expertise in fundamental physics - kinematic and dynamic models of rigid bodies.

• Background with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.).

• Experience building safety critical software architectures.

• Experience building deep learning based prediction/planning system

What you'll be doing:

• Get familiar with NVIDIA's design and verification development environment, flow, and process.

• Brainstorm with board design teams, silicon solution teams, software teams, and application engineer teams to settle down specific requirements and choose suitable methodologies to develop the platform/silicon validation infrastructure.

• Research on NVIDIA in-house or industry commercial design for verification applications.

• Integrate existing applications into the infrastructure flow or develop new applications based on the infrastructure flow to facilitate chip/product feature qualifications and improve coverage/efficiency.

• Develop and extend Silicon Validation Tools, specifically for utilizing tools.

• Your expertise will help architect crucial next-generation product features and work with multi-functional teams to drive them to production.

• Contribute to the evaluation and enhancement of the benchmark tool for energy efficiency.

What we need to see:

• MS in EE, CE, CS, or Systems Engineering (or equivalent experience).

• 4+ years of software tool development experience.

• Familiar with AI models.

• Strong skills in Python, C/C++, or Java.

• Good system validation knowledge, including CPU, memory, GPU, PCIE, and thermal/power control.

• Experience developing and extending silicon validation tools is desirable.

• Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills.

• Fluent in English, both written and verbal.

What you will be doing:

• Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.

• Collaborating with vendors to develop brand new sensors for vehicles.

• Developing sensor drivers, plugins, and processing functions around sensor data.

• Developing highly efficient sensor data recording, playback, and visualization tools.

• Performing in-vehicle tests, collecting data, and analyzing integrity.

• Working with our car and control teams to develop interfaces to the vehicles to enable self-driving.

• Supporting data collection campaigns for our autonomous vehicle program.

• Developing unit tests, documentation for features, evaluating quality, and proposing corrective actions.

• Delivering efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Following quality and safety standards such as defined by MISRA.

What we need to see:

• BS/MS or higher in computer engineering, computer science, or related fields proven ability.

• Excellent C and C++ programming skills.

• 12 years+ experience developing and debuggingmultithreaded/distributedapplications like multimedia systems, game engines, etc.

• Solid understanding of programming and debugging techniques, especially for parallel and distributed architectures.

• Solid understanding of Linux, Android, and/or other real-time operating systems.

• Experience with sensors such as cameras, lidar, radar, ultrasonics, IMU, GPS.

• Background with vehicle control interfaces.

• Excellent communication and analytical skills.

Ways to stand out from the crowd:

• Understanding of embedded architectures.

• Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.

• Software development for modern OpenGL/Vulkan (Core Profile) and Linux.

• Experience with version control systems GIT and build system CMake.

• Collaborate effectively with algorithm, software, and hardware engineers, demonstrating attention to detail and data organization skills.

What you will be doing:

• Coordinate among requesting teams to plan test resources, track progress to ensure test resource availability

• Oversee test execution team, understand test requirements. Guide execution to provide quality test results.

• Lead the fleet efficiency across car, garage, people and execution. Drive it to the Speed of light. Own/ Raise and drive major gaps and failures through systemic improvements.

• Ensure that the driving quality of the fleet engineering remains optimized by making go/no-go decisions on major technical changes, defining the tests/frameworks required to guard against regressions, andidentifying/addressingregressions.

• Lead, manage, train, and/or provide guidance to other team members and contractors

• Scale out this iterative development process by developing more automation and leveraging from current operational teams/resources.

What we need to see:

• Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field

• 8+ overall years of experience in a similar or related role

• Practical experience working in Linux, using version control systems, and debugging

• Well-rounded knowledge of how an autonomous vehicle stack works, and practical experience dealing with the challenges in this area

• Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

• Background with autonomous vehicle and/or machine learning development

• Experience with data analysistools/languages

• Experience with start-ups and/or early-stage products

What You’ll Be Doing:

• Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.

• Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications.

• Explore novel data generation and collection strategies to improve diversity and quality of training datasets.

• Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met.

• Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software.

What We Want to See:

• Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems.

• BS/MS in Computer Science or equivalent experience.

• 8+ years of experience in the field or meaningful experience

• Deep understanding of modern deep learning architectures and optimization techniques.

• Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

• Strong programming skills in Python and proficiency with major deep learning frameworks.

• Familiarity with C++ for model deployment and integration in safety-critical systems.

Ways to Stand Out from the Crowd:

• Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.

• Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.

• Deep understanding of behavior and motion planning in real-world AV applications.

• Proven ability to optimize algorithms for real-time performance in resource-constrained environments. Strong track record of taking projects from concept to production deployment.