Every listing shows a published salary. Filter by role, country, remote work or seniority. Updated 16h ago.
Hands-on experience with test automation, production testing, and automation frameworks. Solid understanding of Linux, embedded systems, firmware, and hardware/software integration.
Lead and develop a team responsible for graphics driver development and enablement on new GPU architectures, building technical depth through mentoring, hiring, and career development.
Define and review requirements for in-rack and out-of-rack power architectures, server PSUs, power shelves, and DC distribution systems.
Lead and grow a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests.
Lead and develop the engineering team responsible for console graphics platforms, compute-based graphics, and Slang. Own the team’s technical roadmap, priorities, quality, and delivery commitments.
Design, build, and deploy Agentforce Agents that leverage live CRM data - account planning, opportunity pipeline health, and quoting information - to assist our sales and operations teams in real time.
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle.
Work on groundbreaking NVLink Fusion chips and systems. Understand them across a range of subject areas and help define a unified product. Feedback learning from one project to drive feature requirements and planning for the next generation. Be the gatekeeper of product features.
Design, implement, and maintain software systems that combine hardware, software, workload, and deployment assumptions to evaluate data center-level power, TCO, and performance trade-offs.
Develop and own agentic systems end to end — from scoping the problem with finance partners through the eval harness, retrieval quality, and cost that keep them reliable in production.
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.
Maintain, improve and optimize software components in C. Develop and maintain system-level and application-level code for Slurm which includes networking, system and device level components. Debug and fix complex Slurm issues related to reliability and performance.
Partner with AI-labs customers on large data center GPU and networking deployments. Guide architecture decisions across network, compute, and storage, including fabric design. Support on-site bring-up of server, network, and cluster infrastructure in customer data centers.
Lead multiple, concurrent complex programs across the autonomous driving platform — from embedded platform bring-up through production release. Drive new platform technologies across the full stack: embedded OS, platform drivers, middleware, sensor integration, and validation.
Work with storage and scaling teams to design scalable frontier storage and queueing systems with high-throughput writes, efficient lookups, deduplication, and scheduling based on data quality, diversity, and freshness.
Work with Aerial team driving the next wave of AI-RAN Telco products. Responsible for the product lifecycle for ARC products, from concept through launch and lifecycle management.
Develop Core Autonomous Driving Features: Create foundational systems for autonomous driving across diverse geographies by merging state-of-the-art perception DNNs and map data.
Build efficient, low-latency software for AI media workloads across cloud and embedded platforms. Optimize and deploy AI models and software stacks on embedded processors and NVIDIA GPU platforms. Profile AI workloads to improve performance, power, and memory usage.
Build and deploy: Design and implement network automation for new builds and bring-ups, from zero-touch provisioning and config generation to validation and handoff to operations.
NVIDIA is looking for a Senior Technical Program Manager to partner with Production Engineering and drive execution across critical DGX Cloud initiatives.
Lead design and development of ground breaking end-to-end reference system stack for 5G/6G baseband system. Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum throughput.
Own technical product marketing and developer go-to-market for NVIDIA Cosmos Framework!
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Developing comprehensive FV testplan documents. Identifying key behaviors for verification of DUT and creating a verification plan. Developing verification environment including environment assumptions, assertions and cover properties in context of the verification plan.
US, USA