Top Tech Jobs & Startup Jobs

Analyze GPU application performance and design, implement, and integrate MLIR/LLVM compiler optimizations and passes. Collaborate with hardware, compiler, and application teams, engage with open-source LLVM community, and enable best-in-class performance for AI and HPC workloads.

Lead segment sales for RTX PRO Blackwell Server Edition, build pipeline and partner ecosystem, drive OEM/channel execution and GTM strategy, manage reporting and forecasting, and enable complex sales engagements for enterprise AI inference and GPU workloads.

Lead product marketing for AI infrastructure: analyze market and competitive signals, develop positioning and messaging, create content (blogs, webinars, tutorials), support product launches, and partner cross-functionally with engineering, sales, and GTM teams to showcase NVIDIA platform value.

Design and implement idiomatic, safe Rust libraries and APIs for CUDA GPU computing; build Rust abstractions over native C/C++ interfaces; develop and maintain supporting C/C++ components; ensure FFI and Python interoperability; optimize cross-language and GPU performance; own features end-to-end including testing, profiling, benchmarking, documentation, packaging, and maintenance; collaborate with compiler, runtime, and Python teams; investigate and resolve safety, correctness, compatibility, and performance issues.

Lead developer relations for CAE by building technical expertise, integrating NVIDIA software stacks into partner projects, supporting onboarding with code samples and demos, monitoring ecosystem trends, and collaborating with partners and internal teams to drive adoption of NVIDIA AI and accelerated computing technologies.

Lead developer advocacy for AI and agentic security: advise security companies, accelerate NVIDIA stack adoption, guide partner integrations, map ecosystems, collaborate cross-functionally, run community events, and feed product teams with field insights.

Lead engineering to build and optimize local AI agent frameworks and runtimes on Windows for GeForce RTX GPUs. Ensure secure, sandboxed execution, privacy-aware networking, and efficient local LLM inference. Collaborate with research, driver, and open-source communities, mentor engineers, and produce production-ready code and deployment guidelines.

Lead post-silicon bring-up and productization from first power-on through production ramp. Drive cross-functional execution for debug, validation, characterization, reliability qualification, and production readiness while establishing operating models, metrics, and closure plans for high-risk silicon issues.

Design and build next-generation autonomous vehicle systems spanning prediction, decision, planning, and control. Integrate classical safety stacks with large-scale AI foundation models and inference architectures. Develop world-model based planning, end-to-end driving pipelines, system-level safety and fallback strategies, and production-grade AV software from perception through control.

Lead end-to-end SOX 404 lifecycle activities including scoping, testing, deficiency remediation, and reporting. Partner with process owners to assess risks, document controls, and drive automation. Act as primary auditor liaison, coach offshore testers, perform control testing reviews, and participate in operational audits and continuous improvement initiatives.