דרושים Principal Product Manager - Autonomous Vehicles ב-אנבידיה ב-China, Shanghai

What you’ll be doing:

• Lead, mentor, and grow a high-performing team of applied research engineers focused on humanoid loco-manipulation and mobile manipulation.

• Drive the definition, planning, and execution of projects involving foundation models (GR00T, Cosmos), Isaac Lab, and Newton workflows.

• Guide the team in advancing robot learning technologies and synthetic data generation from human video datasets.

• Hands-on design, implementation, and deployment of novel algorithms for humanoid robot locomotion and manipulation in simulation and real-world environments.

• Ensure seamless integration of applied research outputs with NVIDIA’s advanced robotics platforms.

• Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications in top conferences and journals.

• Collaborate cross-functionally with product, hardware, and software teams to translate research into impactful products.

• Support career development, performance management, and recruitment of top talent.

What we need to see:

• Advanced degree (PhD or Master’s) in Computer Science, Robotics, or a related field.

• 2 years of experience on technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.

• Strong hands-on programming skills in Python and C++; experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).

• Excellent communication, organizational, and interpersonal skills.

• Experience with large-scale model training on GPU clusters.

• Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.

• 5+ overall years of experience working on robotics technologies.

Ways to stand out from the crowd:

• Leadership in projects involving foundation models for robotics, includingVision-Language-Action(VLA) or Vision-Language Models (VLM).

• Experience with learning from human video demonstrations and human-object reconstruction.

• Expertise in humanoid loco-manipulation, encompassing whole-body control, dexterous and bimanual manipulation, and locomotion.

• Advanced knowledge in robot learning and reasoning, including imitation and reinforcement learning.

• Experience generating synthetic data for robotics applications.

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

As a Senior Technical Program Manager within our Silicon Solutions team, you will play a pivotal role in bridging the technical and management domains, driving the development and execution of critical programs. You will collaborate with development managers, engineers, and multi-functional teams across systems, software, operations, and marketing to ensure the flawless delivery of our silicon projects.

What you'll be doing:

• Program Leadership and Execution: Own the planning, development, and management of project schedules and deliverables. Ensure meticulous management of tasks, dependencies, and breakthroughs to achieve program objectives on schedule.

• Design and Scope Management: Actively participate in crucial design reviews. Efficiently handle scope changes to minimize impacts on project timelines and outcomes.

• Multi-functional Collaboration: Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on project achievements and go-to-market strategies.

• Risk Management: Proactively identify risks and dependencies, develop mitigation strategies, and advance issues to leadership as vital.

• Communication: Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making.

• Continuous Improvement: Leverage insights and standard processes from completed programs to drive continuous improvement in processes and outcomes for future projects.

• Continually improve processes, optimize workflow, and maintain the highest quality levels.

What we need to see:

• A Bachelor of Science degree in Applied Science or Engineering is required (or equivalent experience); a Master's degree is helpful.

• 10+ years of relevant experience, including at least 3 years in a technical program management role, ideally within multi-functional teams.

• Proven experience in SoC Bring Up, Validation, and Productization. A detailed understanding of datacenter and/or consumer electronics design, including critical interfaces.

• Ability to navigate system integration complexities at the convergence of Silicon, System, and Software.

• Proficient in leading rapid development cycles and embracing change, maintaining flexibility and composure in uncertain situations.

• Highly self-motivated and proactive, with the ability to engage in critical thinking and problem-solving.

• Outstanding communication and organizational skills, capable of effectively articulating sophisticated technical issues and solutions.

What you'll be doing:

• Develop and implement strategies to optimize AI model inference for on-device deployment.

• Employ techniques like pruning, quantization, and knowledge distillation to minimize model size and computational demands.

• Optimize performance-critical components using CUDA and C++.

• Collaborate with multi-functional teams to align optimization efforts with hardware capabilities and deployment needs.

• Benchmark inference performance, identify bottlenecks, and implement solutions.

• Research and apply innovative methods for inference optimization.

• Adapt models for diverse hardware platforms and operating systems with varying capabilities.

• Create tools to validate the accuracy and latency of deployed models at scale with minimal friction.

• Recommend and implement model architecture changes to improve the accuracy-latency balance.

What we need to see:

• MSc or PhD in Computer Science, Engineering, or a related field, or equivalent experience.

• Over 10 years of confirmed experience specializing in model inference and optimization.

• 15+ overall years of work experience in a relevant area

• Expertise in modern machine learning frameworks, particularly PyTorch, ONNX, and TensorRT.

• Proven experience in optimizing inference for transformer and convolutional architectures.

• Strong programming proficiency in CUDA, Python, and C++.

• In-depth knowledge of optimization techniques, including quantization, pruning, distillation, and hardware-aware neural architecture search.

• Skilled in building and deploying scalable, cloud-based inference systems.

• Passionate about developing efficient, production-ready solutions with a strong focus on code quality and performance.

• Meticulous attention to detail, ensuring precision and reliability in safety-critical systems.

• Strong collaboration and communication skills for working optimally across multidisciplinary teams.

• A proactive, diligent mentality with a drive to tackle complex optimization challenges.

Ways to stand out from the crowd:

• Publications or industry experience in optimizing and deploying model inference at scale.

• Hands-on expertise in hardware-aware optimizations and accelerators such as GPUs, TPUs, or custom ASICs.

• Active contributions to open-source projects focused on inference optimization or machine learning frameworks.

• Experience in designing and deploying inference pipelines for real-time or autonomous systems.

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’ll be doing:

• You will first define the strategy and tactics for successfully executing graphics-based server product solutions (including AI/deep learning, high-performance computing, virtualization, and remote visualization), fromevaluation/proof-of-concept,todesign/development/qualification/validation,through customer acceptance and production datacenter deployment.

• Execute the plan you created by: identifying and assembling the core support team, formally kicking off the project with the customer, supporting the design-in effort by providing technical collateral/product samples/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring customer acceptance and production deployment.

• Post-production/deployment,you will provide sustaining technical support to the customer and act as a case manager to lead resolution of field quality issues/escalations.

• Translation of customer requirements into specific tasks and assignment of those tasks to relevant functional areas should come second nature to you. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role.

• Are you able to handle multiple customers and customer programs at a time, across worldwide geographies and time zones?

• Can you effectively organize and lead complex technicalengineering-to-engineering(hardware and software) discussions?

• Work closely with engineering, operations, quality, marketing, and sales teams to resolve technical and logistical issues.

What we need to see:

• 5+ years in a high-tech electronics or semiconductor industry with a focus on program/project management. BS/MS Engineering or Computer Science.

• Experience and therefore deep customer savvy born of running significant and complex server engagement programs, especially with strategic customers with large datacenter deployments.

• Strong technical savvy, including server development and datacenterqualification/deployment.

• Supreme leadership skills across broad and diverse functional teams.

• Graphics, AI/deep learning, high performance computing, and/or cloud datacenterdevelopment/deploymentexperience desirable.

• Validated history of 5+ years of Project/Program Management of server and software product solutions

• Strong technical background and experience working with customers in a clouddevelopment/deploymentand/or OEM environment.

• Experience leading global.

Ways to stand out from the crowd:

• Team player, loves to work in a team environment.

• Native Mandarin, Fluent English.