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Software development to deliver new motion-planning features entails a diversity of activities, including: Lead the entire feature lifecycle, driving motion planning solutions from initial design through to full productization and deployment..
Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows. Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.
Great opportunity to join the core group at NVIDIA working to architect and build scalable and distributed NGC Cloud services. Be a technical leader on various projects across the platform, and be a major contributor of the entire platform’s architecture.
Your primary focus will be one of three areas, with collaboration across the team: Runtime: Build Go controllers and APIs to install, upgrade, and validate GPU cluster software.
Drive execution for sourcing, curating, and maintaining high‑quality data used to train and evaluate Robotics/LLM programs. Identify, evaluate, and onboard external data/annotation vendors aligned with LLM use cases, quality needs, and compliance constraints.
Lead a team of engineers and provide technical guidance and career mentorship to the team of highly skilled engineers. Empower the team members to excel and increase team productivity.
Collaborate closely with Software Development Managers, Engineers, Product Marketing, Customer Program Management, Quality Assurance, and other logistics personnel to establish and implement streamlined processes for the development of advanced Compute software solutions for…
Own and operate the data platform end to end, including the pipelines that ingest, transform, and serve operational data to leadership and partner teams.
Collaborating closely with Software Development Managers, Engineers, Product Marketing, Customer Program Management, Solution Architects, Quality Assurance, and other logistics personnel to establish and implement streamlined processes for the development of advanced Compute…
Build and own core online world model and context fusion software that runs in the car, from architecture through implementation to deployment. Write production C++ for real-time embedded systems, with a focus on correctness, determinism, and maintainability.
Leading and developing logistics staff, ensuring consistent training, compliance to standardized processes, tools, and reporting across regions and driving continuous improvement.
Lead the overall architecture and design of our cloud network infrastructure including intra-DC, inter-DC, Corp IT, and Internet connectivity. Implement, manage and troubleshoot entire network stacks.
Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures.
Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention. Build and maintain the systems that configure, package, validate, and distribute accelerated compute components.
Collaborate with Hardware and Software Engineers to craft the next generation CPUs and SoCs. Bring a deep understanding of Software Architecture, system software technologies, and modern OSes to drive hardware architecture decisions.
Drive rack-scale SW/FW architecture alignment across CSP engagements — including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and…
Lead strategic business development across Industries spotting high-impact opportunities where NVIDIA's accelerated computing, AI, simulation, and robotics platforms transform workflows and develop new markets.
Define and complete networking product strategies for assigned OEM partners, aligning NVIDIA roadmaps with OEM server, rack, and infrastructure plans.
Take charge of the vision, strategy, and multi-release roadmap for NeMo Relay as a framework-neutral library partners can embed, addressing lifecycle events, middleware, plugins, policy, observability, and adaptive performance tuning.
Take ownership of the Infrastructure Developer Tools product strategy, roadmap, and requirements for DSX/DGXC to enable the NCP, OEM, and ISV ecosystem to left-shift software development.
Design and build the AI data layer for a multi-cloud GPU fleet: how datasets, checkpoints and scratch data are placed, cached, tiered and moved between different storage backends. Build high-throughput data paths for training and RL.
Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research.
NVIDIA · 4d ago
Drive reliability work streams with CSP engineering teams — ensuring shared understanding of MTBI measurement methodology, failure classification, and health monitoring architecture.
Distill your performance instincts into reusable skills, workflows, and evidence-backed methodologies that AI agents can complete autonomously. Review agent-generated experiments, validate findings, and curate best-known configurations.
US, USA
Italy