Top Tech Jobs & Startup Jobs

Lead development and deployment of synthesis flows to meet PPA goals, bridge front-end and P&R teams, build scalable Tcl/Python automation, integrate AI/ML into flows, debug complex tool failures, and provide synthesis training and methodology support.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

Lead product strategy, roadmap, and go-to-market for NVIDIA enterprise game development solutions. Partner with engineering, ISVs, OEMs, and sales to integrate RTX, generative AI, and developer workflows into studio pipelines. Drive positioning, demos, trade-show strategy, sales enablement, and lighthouse case studies to grow adoption among game developers and publishers.

Lead an engineering team responsible for reliability processes and platforms, including incident management, maintenance, on-call, issue management, and production readiness. Own the roadmap, technical direction, delivery, adoption, and continuous improvement of operational systems. Partner across infrastructure, product, and security teams; lead major incident response; hire and develop engineers; and apply automation, AI, and operational insights to improve service reliability and reduce manual work.

Design, develop, and optimize GPU- and CPU-accelerated image and data processing libraries. Implement and performance-tune parallel numerical algorithms, benchmark across architectures, contribute to technical roadmaps, provide technical leadership, and collaborate with product and engineering teams to meet feature and performance requirements.

Lead technical program management for NVIDIA’s LPU SDK software initiatives. Responsibilities include defining execution plans, managing priorities and dependencies, tracking risks, coordinating cross-functional engineering teams, reporting program status, moderating technical discussions, analyzing program metrics, and driving on-time delivery. The role also serves as a liaison between developers and customers while improving processes and supporting enterprise software programs.

Lead design, implementation, and automation of large-scale cloud and data center test infrastructure. Develop CI/CD pipelines, validate performance, scalability, and reliability, debug clusters (network, storage, security), manage Kubernetes and cloud environments, leverage AI tools to accelerate testing, and coordinate cross-team bring-up and issue resolution.

Verify ASIC inference accelerator designs at block and SoC levels using advanced methodologies, random stimulus, functional coverage, assertions, and UVM. Develop verification infrastructure, debug designs, optimize automated flows, and collaborate with architects, designers, and pre- and post-silicon teams. Apply knowledge of ASIC design flow, power verification, DFT, netlist verification, and machine learning techniques to improve verification processes.

Develop AI-driven software for VLSI and circuit design automation. Research electronic design automation techniques, build agentic AI solutions, analyze datasets, validate hypotheses, and create machine learning models and algorithms to optimize circuit and layout design outcomes. Collaborate across engineering and research teams on pre-silicon and post-silicon design, circuit optimization, and SPICE correlation.

Leads technical product marketing for NVIDIA’s robotics edge-runtime software portfolio. Defines positioning, messaging, differentiation, go-to-market strategy, and launch plans for Isaac ROS and related technologies. Drives developer adoption across perception, navigation, manipulation, and autonomy workflows while partnering with engineering, product, developer relations, sales, and ecosystem organizations. Creates technical content, demos, presentations, customer stories, and enablement materials; develops market intelligence and partnerships across ROS, edge AI, robotics middleware, and embedded computing.