Top Tech Jobs & Startup Jobs

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.

Design, implement, and validate advanced security software for Tegra SoC/GPU platforms. Perform security assessments, code reviews, and test automation across silicon lifecycle. Ensure compliance with industry standards, mentor junior engineers, and contribute to security strategy and roadmap.

Lead security engineering for RTOS, hypervisor, and embedded virtualization: design and review defenses, collaborate on CPU/SoC security, perform threat modeling and automotive TARA, review low-level C/C++ code, build fuzzing and test infrastructure, assess vulnerabilities, and drive security fixes and verification toward automotive safety and security standards.

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.