Top Tech Jobs & Startup Jobs

Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.

Lead technical engagement with OEM/ODM ecosystem partners to enable MGX-based high-performance hardware. Provide system-level electrical, mechanical, and thermal engineering expertise; drive integration of compute, networking, power, cooling, and mechanical subsystems; define validation strategies; lead product reviews and readiness assessments; deliver partner training and onboarding; collaborate across product, engineering, operations, manufacturing, and business teams to grow the MGX hardware ecosystem.

Design and deliver high-performance, area- and power-efficient ASIC/GPU micro-architecture and RTL. Develop agentic AI solutions to craft micro-architecture, implement RTL, and produce fully verified, synthesis/timing-clean designs. Collaborate with designers and tool owners, and build LLM-powered engineering assistants, multi-agent systems, and multi-modal dialogue tools to accelerate chip design workflows.

Lead implementation of AI infrastructure solutions on NCP/Neo Cloud and DGX Cloud. Deploy and optimize distributed training/inference, manage Kubernetes/GPU scheduling, profile and tune large-scale workloads, implement reference architectures and integrations, build runbooks and monitoring, and provide remote and on-site technical support to strategic customers.

Apply LLMs, agentic systems, and reinforcement learning to front-end ASIC problems (RTL generation, verification, PPA). Build data generation, evaluation, and production ML tooling; integrate coding agents into EDA/validation flows; collaborate with model teams to fine-tune domain-specific models and deliver measurable speedups to ASIC schedules.

Design and deliver production-quality Metropolis AI solutions using Cosmos foundation models. Identify model limitations, generate synthetic data, refine tuning and architectures, partner with Cosmos and cross-functional teams, open-source research artifacts, and advance generative and simulation-based perception for physical AI deployments.

Lead DFT/DFX architecture and methodologies across products, implementing test access, IO/memory BIST, scan compression, and high-speed test architectures. Define/prototype in-system test and ISO26262 diagnostics, support silicon debug and ATE bring-up, collaborate with cross-functional teams to productize test flows and tools, and mentor junior engineers on test designs and trade-offs.

Conduct offensive security research on SoC and GPU designs, develop tooling and automation, identify and exploit side-channel/fault/physical attacks, integrate mitigations into security architecture, and publish vulnerability research.

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.

Design and implement security features for an autonomous vehicle platform, working across sensor stacks, middleware, embedded and cloud systems. Develop secure system- and user-space software, guide cross-team security implementations, and improve security governance for AV fleets.