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NVIDIA · 14d ago
Build and implement brand new Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and planning. Develop and maintain scalable training pipelines and simulation environments for RL training.
Design software for next-generation compute GPU solutions. Develop and maintain software technologies that enable and support NVIDIA GPU hardware across Linux and Windows operating systems, ensuring optimal performance and feature functionality.
Participate in conference calls and F2F meetings related to quality weekly/monthly. Track key quality metrics with regular reporting to the quality engineering team and internal management.
Quality representative to the automotive NPI teams, supporting activities for customer and internal quality requirements. Co-ordinate with multi-functional teams, aligning and maintaining the plan, methodologies, and requirements for chip failure analysis solution.
Serve as the primary liaison accountable for supply continuity amongst Contract Manufacturing and Repair partners and internal NVIDIA teams — including Engineering, Quality, Procurement, Logistics, and Planning.
You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at…
System Design & Programming: Maintain a high technical bar. You will remain close to the code, guiding robust software design, ensuring clean data engineering practices, and occasionally jumping into hands-on Python programming when solving complex architectural bottlenecks.
Manage and mentor a team of Developer Relations Managers to cover AI for science (life sciences, physics, robotics, quantum, climate). Set direction, remove blockers, and build a high-trust, high-performance team.
Extend and adapt GFN's low-latency streaming stack to RTOS platforms (e.g., QNX, AUTOSAR Adaptive/Classic) to meet strict determinism, timing, and partitioning requirements.
Lead and execute all aspects of SOC CPU system sw planning and execution - coordinate the POR, pre-silicon development, pre-silicon validation, Silicon and Platform bring-up and productization.
Lead and mentor a team of product development engineers responsible for HBM bringup, characterization, and production ramp.
Lead all facets of property tax compliance, encompassing the preparation, review, and filing of returns for real and personal property. Handle Franchise Tax Returns for NVIDIA and affiliated entities.
Co-ordinate with multi-functional teams, aligning and maintaining the plan, methodologies, and requirements for failure analysis solution. Develop test strategies for new features, including test equipment and diagnostic software specification and validation.
Port and develop test vectors, patterns, and software on the Advantest V93000 system, specifically the PS5000 module, as well as Teradyne UltraFLEXplus platforms.
Act as the primary technical support for L10/L11 rack-level integration for our Original Design Manufacturers (ODMs) responsible for next-generation data center products.
Manage weekly, monthly, and quarterly supply plans with business leaders and provide mentorship on supply and inventory positions. Analyze planning strategies and priority tradeoffs with business leaders to optimize supply to meet customer demand and revenue targets.
NVIDIA · 14d ago
Lead and mentor a team of product development engineers responsible for validation, characterization, and production ramp of NVIDIA product lines. Drive product development strategy from early silicon validation through qualification and high-volume manufacturing.
Set the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, spanning both classical and learning-based approaches.
Partner with the Logistics and Transportation team to consistently streamline business processes and lead continuous improvements to processes and solutions in place to enable the team to deliver world class support to our global internal customers while staying compliant.
Deploying, managing, and validating High-Performance Storage infrastructure within AI Factory Linux-based environments. Acting as the domain expert during customer planning calls through implementation phases.
Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us.
You'll set the direction for the NVIDIA AICR project and grow it into how the industry runs NVIDIA's software stack on Kubernetes, growing its coverage across accelerators, clouds, and workloads. The role also represents AICR to customers, partners, and the open-source community.
Develop incremental physical-design technology that can rapidly implement high-performance logic changes with DRC and parasitic awareness, including for both all-layer and metal-only ECOs.
Collaborate with major Tier-1 and key OEM customers, as well as internal teams, to develop future Embedded architectures and roadmaps.
US, USA