דרושים Senior System Software Engineer Cuda ב-אנבידיה ב-United States, California

What you'll be doing:

• Use AI to solve product challenges in gaming and other interactive experiences.

• Build upon the latest research to create world-class conversational pipelines for AI assistants and agents.

• Improve and fine-tune language models and retrieval-augmented generation solutions for accuracy and performance.

• Build prototypes to demonstrate real-life applications of your ideas and to accelerate productization.

• Collaborate with NVIDIA's internal and external teams, including AI/DL researchers, hardware architects, and software engineers.

• Participate in technology transfers to and from teams across NVIDIA.

What we need to see:

• PhD or Master’s degree in Computer Science/Engineering, Machine Learning, AI, or related fields; or equivalent experience.

• 12+ years of work experience with last 5+ years focused on language models, AI assistants, and agents.

• Proficiency in C, C++, and Python, with the ability to write high-performance production code.

• Experience with GPU programming, CUDA, and system optimizations is a significant plus.

• A track record of proven research excellence, demonstrated through presentations, demos, or publications at leading venues such as GDC, ICCV/ECCV, SIGGRAPH, or other research artifacts such as software projects or significant product development.

AI-powered machines can learn, reason, and interact with people, thanks to GPU deep learning. We offer competitive salaries and great benefits as a top tech employer with leading talent.

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:

• Develop and implement high speed electrical/optical interfaces and analog circuits. You will have hands on experience taking innovative integrated circuit designs at data rates of 25Gbps and higher from concept through silicon characterization.

• Help by defining circuit requirements and complete design from schematic, layout, and verification to characterization.

• Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like.

• Lead architecture, transistor design and verification using industry standard EDA tools such as Cadence virtuoso.

• Optimize circuit to meet the specifications for system performance.

• Work closely with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings.

• Provide support for post-silicon bring-up and debugging.

What we need to see:

• Master of Science or Ph.D. in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience)

• 6+ years analog design experience

• CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET)

• Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA)

• Experience in crafting test bench environments for component and top level circuit verification

• Behavioral modeling of analog and digital circuits

• Strong debugging and analytical skills

• Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc.

• Strong interpersonal skills and ability & desire to work as a phenomenal teammate are huge plus.

What You’ll Be Doing:

• Partner across Operations, Engineering, Finance, and Ecosystem partners to enable and scale U.S. manufacturing for AI systems.

• Advance data-driven manufacturing methods (telemetry, predictive control, S&OE) to improve transparency, quality, and efficiency.

• Align cost and capacity planning with Finance, Sourcing and Factory Planning; support supplier readiness through milestone-based reviews.

• Provide operational inputs for internal communications on U.S. manufacturing progress, as needed.

• Advance U.S. capabilities by integrating forward (build) and reverse (repair) operations under one operating model.

What We Need to See:

• Extensive experience (18+ years) spanning manufacturing, supply chain, and operations leadership at a global scale.

• Bachelors degree or equivalent experience.

• Proven record of operational transformation improving cost, quality, and delivery simultaneously.

• Proven influence leadership across matrixed teams and external partners and a minimum of 10 + years in management.

• Depth across EMS, component, and system-level manufacturing environments.

• Operational economics, supplier readiness, and data-driven manufacturing systems expertise, senior executive level communications.

• Executive presence, clarity in communication, and comfort operating at both strategy and execution levels.

Ways to stand out from the crowd:

• Experience leading sophisticated, cross-functional initiatives that align multiple organizations to deliver coordinated operational results.

• Experience scaling manufacturing networks or managing large-site transformations.

• Proven collaboration across Finance, Sourcing, Legal, and other corporate functions to enable aligned execution.

What you will be doing:

• Analyze pre-production silicon in innovative process technologies for performance, power, yield, and quality to define groundbreaking products as a product definition engineer for NVIDIA's family of chips and products.

• Architect crucial next-generation product features vital for performance, power optimization, and management techniques from feature definition to production, working with multi-functional teams.

• Design tools to automate product definitions, binning, data collection, test case execution, and results analysis.

• Build pre and post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback.

• Find creative solutions to sophisticated silicon and system-level problems and be on the frontline to lead show-stopper bugs to enable product shipment.

• Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, ATE engineers, product managers, sales, and operations in a multifaceted, high-energy work environment to bring industry-defining products to market.

What we need to see:

• BS (or equivalent experience) with 8+ years or MS with 6+ years experience in EE, CE, CS, Systems Engineering, or similar and experience in a related hardware engineering position.

• Excellent problem-solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred.

• Hands-on experience with silicon bringup, frequency and power characterization, Tester System correlation, and lab tools (oscilloscopes, multimeters, DAQ).

• Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis, and tools for data analysis and statistics.

• Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability, and aging mechanisms.

• Familiarity with Perl, C/C++, tool and script development, Windows and Linux OS is a plus.

• Background with power supply and substrate noise analysis and mitigation.

• Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.

What you’ll be doing:

• Operate as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI-enabled solutions.

• Actively prototyping to develop deep expertise in NVIDIA Cosmos, Omniverse Platforms, NuRec and related technologies (APIs, USD, NIMs, Blueprints) through hands-on technical integration.

• Implement intricate technical solutions with partners—defining objectives, architecture, landmarks, and delivery plans while contributing code samples, architecture diagrams, and hands-on engineering support.

• Provide technical enablement resources like workshops, reference architectures, and integration guides to speed up adoption and standard processes while collaborating with engineering and leadership teams across partner organizations to identify goals, resolve technical challenges, and align on architecture and solution direction.

• Advocate for partner technical needs within NVIDIA—providing actionable feedback to influence product roadmaps and future technology direction while supporting product launches and go-to-market activities, ensuring seamless integration and technical excellence in customer-facing materials.

• Guide research and implementation in 3D reconstruction, integrating innovations like Gaussian splatting into autonomous simulation pipelines.

What we need to see:

• Master’s or Ph.D. in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, or a related field (or equivalent experience).

• 8+ years of hands-on experience in a technical AI role, with emphasis on autonomous systems, simulation, or generative AI.

• Programming expertise in Python and C++, with solid software design and debugging experience on Linux with a deep understanding of Autonomous Vehicle systems, including sensors, dynamics, perception, prediction, planning, and control.

• Hands-on experience with DevOps tools (GitLab, Docker, Kubernetes) and scalable distributed systems and Deep Learning (DL) and Reinforcement Learning (RL) frameworks experience such as PyTorch or JAX.

• Expertise in computer vision and 3D reconstruction technologies.

• Excellent communication, collaboration, and presentation skills with the ability to engage technical and non-technical audiences.

• Highly motivated and passionate about driving technical innovation and sharing knowledge!

Ways to stand out from the crowd:

• Hands-on experience with LiDAR, radar, camera, IMU, and other sensor modalities.

• Familiarity with NVIDIA Cosmos, NuRec, Isaac Sim, Isaac Lab, and Omniverse for physical AI simulation and synthetic data generation.

• Strong GPU optimization and profiling expertise using Nsight Systems and Nsight Compute.

• CUDA programming experience, model quantization, and inference acceleration.