Top Tech Jobs & Startup Jobs

Leads multifunctional initiatives defining safety architectures and requirements for autonomous vehicles. Develops safety concepts and analysis supporting continuous software delivery, improves safety metrics and analysis tools, evaluates safety data, and communicates readiness results. Collaborates with perception, AI, motion planning, and architecture experts to ensure DRIVE products meet rigorous safety standards.

Build and maintain scalable 3D simulation software for digital twins and synthetic data generation. Develop backend services, AI agents, distributed computing solutions, cloud applications, and frontend components. Optimize performance and reliability, collaborate with product and cross-functional teams, participate in code reviews, and guide innovative solutions involving physical AI, computer graphics, and deep learning.

Lead forecasting, planning, and product margin analytics for GeForce FP&A. Partner with product teams on cost and configuration analysis. Build and deploy AI/ML-enabled analytical tools, predictive models, and real-time dashboards. Provide timely financial insights and support senior leaders in a fast-paced environment.

Lead technical and strategic partnerships with quantum processing unit builders and federal research organizations. Develop joint roadmaps integrating QPUs with NVIDIA GPUs, networking, and quantum software including CUDA-Q, cuQuantum, CUDA-Q QEC, and NVQLink. Coordinate cross-functional engineering and product teams, create reference architectures, run technical workshops and training, present at conferences, and advise senior scientific leaders on QPU-GPU integration, real-time control, decoding latency, and fault-tolerant quantum computing.

Lead global GeForce esports and competitive gaming marketing: plan and execute campaigns, manage publisher and partner relationships, run product launch GTM and sponsorships, measure performance and optimize via analysis and dashboards.

Verify fabric and interconnect IP blocks and full-chip SoC integrations using SystemVerilog and UVM. Develop constrained-random and directed testbenches, create verification plans, validate DMA, routing, arbitration, ordering, flow control, and protocol compliance, and collaborate across architecture, design, software, emulation, and post-silicon teams. Drive performance, silicon, and platform verification strategies for complex interconnects and NoC subsystems.

Leads NVIDIA’s Infrastructure Security Engineering organization for EDA clusters. Builds and operates security controls across compute, storage, and networking in on-premises and multi-cloud environments while preserving performance for long-running workloads. Owns the technical roadmap, security technology lifecycle, automation, instrumentation, compliance evidence, and cross-functional execution. Develops secure-by-default infrastructure and leads teams responsible for scalable enforcement, observability, mitigation, and security outcomes.

Leads multiple concurrent quantum computing R&D programs, translating research roadmaps into measurable execution plans and scalable technologies. Partners across applied research, engineering, product teams, and external organizations to prioritize work, manage risks, solve technical challenges, and advance quantum technologies toward fault-tolerant computing. Requires strong technical understanding of quantum hardware and software, exceptional communication, and extensive experience managing complex cross-functional technology initiatives.

Leads NVIDIA’s failure analysis function, personally investigating complex hardware, component, and system failures. Develops root-cause methodologies, corrective actions, testing programs, and lab capabilities; partners with engineering, manufacturing, quality, legal, and suppliers to improve product reliability. Mentors engineers, presents technical findings to varied audiences, and expands strategic failure-analysis capabilities. The role requires 40% domestic and international travel.

Leads demand planning and switch supply allocation for NVIDIA AI Factories and Spectrum-X. Translates market, customer, and field demand into actionable planning and execution inputs; balances supply, priorities, and constraints; partners with engineering, product, operations, and supply teams; and presents data-driven recommendations to executives. Requires extensive networking or compute infrastructure expertise and leadership of complex cross-functional initiatives.