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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.

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

The role involves partnering with various teams to drive NVIDIA's product features, optimize ML models, and ensure customer satisfaction in financial services.

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

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, 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.