Top Tech Jobs & Startup Jobs

Design and architect GPU and CPU clock domains for ASICs, balancing functional, physical, testing, power, performance, and area requirements. Develop clocking RTL, collaborate with front-end, physical design, timing, verification, DFT, and software teams, and support synthesis, signoff, silicon debugging, and bring-up. The role also involves optimizing clocking topologies and resolving silicon or programming issues.

Manage strategic sales relationships with AI-native startups, drive quota attainment, qualify and close complex technology opportunities, maintain forecasts, and develop partnerships with cloud providers, system integrators, ISVs, and OEMs. The role requires positioning NVIDIA CUDA-X solutions, supporting technical and business collaborations, leading cross-functional initiatives, and expanding revenue within the startup ecosystem.

Drive architecture and development of datacenter systems from chip-level components through full-scale deployments. Collaborate across silicon, software, networking, operations, suppliers, procurement, and customers to evaluate performance, power, cost, hardware, thermal, and mechanical tradeoffs. Lead multidisciplinary teams, guide product strategy, monitor competitive solutions, and execute systems from concept through production. The role requires deep hardware and server architecture expertise, plus experience spanning software and hardware.

Lead technical engagements with strategic ISV partners to design, prototype, and ship production agentic and generative AI systems. Drive adoption of NVIDIA stack (NeMo, TensorRT-LLM, etc.), set account objectives and timelines, coordinate cross-functional teams, and feed partner insights into Product, Engineering, and Research to shape roadmaps and deliver scalable enterprise deployments.

Develops strategic relationships and revenue growth with universities and higher-education research institutions. Owns the complete sales cycle, from prospecting and discovery through negotiation and closing, while meeting quotas and forecasting revenue. Creates territory and account plans, translates complex software and computing requirements into NVIDIA solutions, and collaborates with solution architects, product teams, developer relations, business units, and channel partners. Requires consultative technology sales expertise and understanding of AI, accelerated computing, and research environments.

Owns enterprise work-management solutions from discovery through deployment and continuous improvement. Leads requirements gathering, prototyping, configuration, testing, adoption, governance, and platform reliability. Configures Jira or comparable platforms, workflows, integrations, dashboards, and permissions; applies automation, scripting, SQL, AI, data privacy, and responsible-AI practices. Partners with business and technical teams to resolve complex issues, support migrations and upgrades, and deliver measurable business outcomes.

Modernize and scale NVIDIA’s PAM and non-human identity services for infrastructure, service accounts, AI agents, and autonomous workflows. The role builds automation, connectors, APIs, policy-as-code, integrations, and internal tooling across hybrid environments. Responsibilities include reducing standing privilege, implementing just-in-time access, credential rotation, session recording, access reviews, and auditability. The engineer also owns service reliability through monitoring, incident response, operational readiness, and continuous improvement while collaborating across security, infrastructure, SRE, developer platforms, and business teams.

Design, deploy, operate, and automate large-scale multi-vendor storage platforms supporting EDA, software engineering, AI/ML, and HPC workloads. Own storage infrastructure lifecycle, configuration standards, IaC frameworks, CI/CD pipelines, CMDB and observability integrations, self-service provisioning, capacity planning, lifecycle management, performance tuning, and root cause analysis. Partner with engineering and research teams while championing GitOps and scalable platform practices.

Designs, deploys, and secures global manufacturing infrastructure, including high-performance networks, CPU/GPU compute, storage, HPC clusters, and cloud services. The role architects resilient connectivity for OT and IT environments, develops automation, enforces security and reliability standards, supports factory-floor infrastructure, and rapidly troubleshoots DNS, DHCP, networking, and infrastructure incidents affecting manufacturing operations.

Own the sim-to-real and real-to-sim engineering function for physical robots and simulation. Design experiments, instrumentation, data capture, system identification, model integration, and hardware validation. Build production C++ and Python software for modeling, simulation, benchmarking, and regression testing. Establish quantitative metrics, diagnose simulation errors, improve robotics platforms, and lead cross-functional technical contributors without formal management authority.