Jobs at NVIDIA

Develop and optimize deep learning inference software, working with NVIDIA's TensorRT SDK and collaborating with experts across teams.

Lead end-to-end release management for enterprise Compute Platform software. Coordinate cross-functional teams, manage branching and version control, define release schedules and KPIs, mitigate risks, automate release tooling, and drive continuous improvement in delivery quality and predictability.

Design and build a scalable failure-attribution framework for heterogeneous CPU/GPU clusters: collect high-fidelity telemetry, implement low-overhead tracing, automate root-cause classification (hardware, software, environment), and enable proactive resiliency measures like migration or checkpointing.

The role involves designing and developing VLSI CAD software, collaborating in agile practices, and advancing design tools for chip development.

As a Principal Engineer, you will enhance the CUDA Driver and collaborate with teams to improve GPU capabilities for various computational tasks, focusing on AI and deep learning workloads.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

The Senior Corporate Accountant will drive process automation, manage financial reporting, ensure compliance, and improve accounting practices across departments.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

Design and build highly scalable private cloud infrastructure to run millions of jobs across thousands of servers. Solve challenges in Kubernetes, job scheduling, multi-region services, resource management, and automated recovery. Collaborate with internal customers, create agentic workflows, and productionize solutions to improve engineering efficiency.

The engineer will develop verification infrastructure, create functional test plans, and ensure system integration while working with innovative IPs in circuit solutions.

Design and implement ML solutions for optimizing GPU accelerated Apache Spark workloads. Collaborate on deployment and lead technical teams in ML.

Lead system-level power failure analysis for data center systems and compute modules, driving customer-return investigations from symptom confirmation to root cause and corrective action. Use lab instruments and Linux-based diagnostics to reproduce, isolate, and analyze complex power issues, correlate field data and telemetry, partner with cross-functional teams, and deliver concise technical and executive reports.

Lead technical pre-sales and solution integration for NVIDIA networking in AI/ML and HPC environments. Work with cloud providers, hyperscalers, and customers on POCs, performance debugging, workshops, and product strategy recommendations to drive adoption of NVIDIA networking hardware and fabrics.

Develop and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation, collaborating with teams to optimize solutions.

Develop, bring up, and support ATE test programs for GPU/Tegra/Automotive products. Debug test methods, integrate timings/patterns, improve test coverage and production efficiency, collaborate with DFT/IC/product teams, analyze yields, and write/maintain scripts/tools for test engineering.

Design and evaluate routing policies for LLM traffic, build and run agentic benchmarks, produce calibration data and routing profiles, contribute code and docs to open-source, and collaborate across engineering teams to integrate optimized inference software into NVIDIA's serving stack.

Lead research and engineering for Nemotron post-training pipelines: develop synthetic data and agentic RL algorithms, build large-scale data and training infrastructure, collaborate on vendor data acquisition, optimize inference/deployment, and publish results.

Lead technical vision and strategy for next-generation graphics developer tools. Design and prototype tooling, drive cross-team initiatives, mentor engineers, engage external developers and partners, and deliver production-ready solutions that improve graphics development, debugging, profiling, and optimization workflows.

Lead end-to-end supply planning strategy and governance for networking products (optics, switches, adapters). Build scalable planning frameworks across chips, memory, capacity, and manufacturing; ensure data integrity (BOMs, yields, cycle times); accelerate time-to-market via complexity reduction and AI-enabled planning; and manage and develop global supply planning teams.

Reproduce and debug customer-reported issues, perform root-cause analysis, and validate fixes across customer platforms. Build diagnostic scripts and tools (Python, C#, C++) and AI-driven utilities. Validate NVIDIA products on diverse virtualization and hardware configurations, collaborating with engineers, program managers, and customers to ensure compatibility and reliability.