דרושים Nvidia Internships Autonomous Vehicles Robotics ב-אנבידיה ב-ארהב

What You’ll Be Doing:

Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions.

• Define and manage roadmap, use cases, and user journeys for industrial digital twins

• Translate customer needs into clear, prioritized requirements

• Partner with engineering to drive execution and technical trade-offs

• Serve as a voice of the customer across development and GTM teams

• Mentor and guide junior PMs to grow product leadership capacity

• POR & One-page summaries of strategic intent

• Product roadmap with quarterly milestones and long-term vision

• PRDs with use cases, personas, and workflows

• Capability and release launch plans in coordination with GTM and engineering

What We Need To See:

• 7+ years in product management, including experience owning sophisticated platform or developer-facing products.

• BS or MS in Computer Science, Engineering, or equivalent experience.

• Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment.

• Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains.

• A strategic and systems thinker, equally comfortable defining big-picture vision and execution details.

• Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware.

Ways To Stand Out From The Crowd:

• Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you.

• Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team.

What you’ll be doing:

• Building and integrating tools to configure, simulate, and test robots

• Maintain and optimize the existing simulation stack for scalable robot and sensor simulation

• Integrate APIs to support large scale simulator deployments on distributed systems

• Develop microservices, using ZMQ, DDS, RPC, RESTful and other network level communication APIs

What we need to see:

• Pursuing or recently completed BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field

• Experience in systems software engineering

• Excellent C, C++, and Python programming skills

• Flexibility to adapt quickly to varying roles & responsibilities

• Experience with physics simulation, robotics or motion planning & controls

• Excellent interpersonal skills and ability to work optimally with multi-functional teams, principles, and architects across organizational boundaries and geographies

Ways to stand out from the crowd:

• Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, CAD formats

• Background with physical robots, reinforcement learning, synthetic data generation

• Experience with UI/UX for user and developer facing tools

• Background with shipping and supporting software products

• Experience with system level optimization using multi-threading, asynchronous programming, concurrency and parallelism

What you’ll be doing:

• Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation areas.

• Contribute to the development and advancement of GR00T and Cosmos foundation models.

• Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks.

• Advance technologies for robot learning and synthetic data generation using human videos.

• Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments.

• Transfer innovations into products, with deliverables including prototypes, open source software contributions, patents, and/or publications in top conferences and journals.

What we need to see:

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

• 5+ years of experience working on robotics software.

• Strong programming skills in Python and C++.

• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and physics simulation tools like Isaac Sim/Lab or MuJoCo.

• Expertise in foundation models for robotics and 3D perception.

• Experience with sim-to-real and real-to-sim transfer in robotics.

• Deep knowledge of robot learning, including imitation and reinforcement learning.

• Hands-on experience trainingVision-Language-Action(VLA) models.

• Experience generating synthetic data for robotics applications.

• Great communication and collaboration skills.

Ways to stand out from the crowd:

• Experience learning from human video demonstrations or human-object reconstruction.

• Expertise in dexterous bimanual manipulation or whole-body control.

• Proven track record in robotics research, including publications in top conferences (e.g., RSS, ICRA, CoRL, NeurIPS, CVPR, ICLR).

• Demonstrated technical leadership experience.

NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding the meaningful metric requirements, especially for L2++ and L3/L4.

What you’ll be doing:

• Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing.

• Identify the weak link of the L2++/L3/L4 SW stack and make it strong.

• Integrate, test and sign-off SW stack's code change and model update, and drive theRoot-Cause-Corrective-Action(RCCA) process to continuously improve the quality of NDAS SW.

• Decompose a complicated cross-function problem into actionable items and coordinate a concerted effort among multiple collaborators.

• Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.

What we need to see:

• BS/MS in Electrical Engineering, Computer Science, or related fields or equivalent experience.

• 5+ years related experience in software development, with hands-on dev experience in AD for automotive.

• Great coding skills in modern C++ and scripting languages like Python.

• Deep understanding of L2++/L3/L4 product features in the market.

• Hands-on experience in debugging AD SW problems.

• Excellent communication and interpersonal skills with ability to strive in a cross-disciplinary environment.

Ways To Stand Out From The Crowd:

• Experience of working as a hands-on tech lead for one or more autonomous driving components.

• Hands-on development experience of an SOP-ed AD and/or ADAS product.

• Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component).

• Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.

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.