Top Tech Jobs & Startup Jobs

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 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.

Lead a team that evaluates, integrates, and supports third-party EDA tools and workflows for mixed-signal circuit design. Drive vendor relationships and roadmap alignment, promote adoption through training and integration, and apply agentic-AI where it improves efficiency. Provide people leadership, technical direction, and cross-team collaboration to improve design quality and reduce cycle time.

Lead wafer- and package-level NPI bring-up for SoCs, drive ATE test strategy and bring-up, define silicon characterization plans (scan, MBIST, IO BIST, functional), analyze yield limiters and ATE failures, characterize performance and power, and lead cross-functional root-cause and improvement efforts with design, foundry, quality, test, customers and suppliers.

Design, implement, and operate large-scale, high-performance distributed storage clusters for AI/HPC workloads. Build monitoring, logging, alerting, automation, and capacity management; optimize latency, throughput, caching, tiering, and data placement. Support lifecycle from design to production, perform incident response and blameless RCA, and participate in on-call rotation to maintain availability, performance, and security.

Lead federal Physical AI partner ecosystem growth by advising partners, driving integrations of NVIDIA technologies, enabling go-to-market assets, onboarding startups, mapping partner opportunities, and collaborating cross-functionally to influence product roadmaps and accelerate strategic deals.

Manage a team developing accelerated image and data compression libraries. Define project goals, roadmap, and scope; ensure execution and delivery; elevate engineering practices; collaborate with internal and external customers and the open-source community while fostering an inclusive, innovative environment.

Lead product strategy and roadmaps for inference tools, SDKs, and libraries that enable developers to deploy and optimize GenAI models on NVIDIA GPUs. Partner with internal and external developers, engineering, leadership, and marketing to prioritize features, drive product delivery, and define go-to-market plans focused on performance, cost, and safety.