Top Tech Jobs & Startup Jobs

Design, develop, and verify chip-specific kernel drivers and embedded software for next-generation NVIDIA chips. Enable Linux and core operating systems across simulation, emulation, FPGA, and silicon platforms. Collaborate with hardware and software teams on platform bring-up, architecture, debugging, automation, and production deployment. Resolve complex hardware-software integration issues and independently drive projects from design through deployment.

Design and implement CUDA Tile compiler transformations, MLIR dialects, lowering passes, and optimization techniques for NVIDIA GPUs. Optimize tile-based kernel performance across GPU generations, define public APIs, conduct performance analysis, and develop robust software, tests, and debugging workflows. The role requires independent project ownership and collaboration within a product-focused engineering team.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Leads complex customer-facing technical programs for AI storage computing platforms, coordinating OEMs, ODMs, vendors, software partners, engineering, operations, quality, product management, and sales. Drives system integration from proof of concept through development, validation, customer acceptance, and production deployment. Manages timelines, design reviews, technical issues, risks, metrics, dashboards, and executive communications while ensuring successful project execution and continuous improvement.

Lead end-to-end SOX 404 lifecycle activities including scoping, testing, deficiency remediation, and reporting. Partner with process owners to assess risks, document controls, and drive automation. Act as primary auditor liaison, coach offshore testers, perform control testing reviews, and participate in operational audits and continuous improvement initiatives.

Provides privacy and data governance legal support, reviewing and negotiating vendor contracts and DPAs, advising on third-party data sharing, conducting transfer risk assessments, and developing privacy review processes. The role counsels business teams on product and partnership privacy issues, monitors GDPR and U.S. state privacy developments, and contributes to guidelines, training, and broader data governance initiatives.

Develop and execute platform test plans across servers, operating systems, firmware, and CUDA software. Build and debug automation frameworks and tests, perform reliability validation, troubleshoot Linux and server environments, conduct root-cause analysis, and manage defect lifecycles. Collaborate with partners and internal teams to resolve issues and improve production quality. The role also involves AI tools, NLP, LLM benchmarking, CI/CD, DevOps, virtualization, and enterprise server technologies.

Leads legal strategy for NVIDIA’s global supply chain, strategic sourcing, procurement, technology transactions, intellectual property, and infrastructure development. Negotiates complex commercial, engineering collaboration, licensing, and procurement agreements; advises business leaders and stakeholders on high-stakes transactions; and develops scalable legal playbooks, templates, and training. The role requires extensive legal experience, technology transaction expertise, supply-chain sourcing knowledge, strong drafting skills, team leadership, and a US law degree with bar admission or authorization to practice.

Lead developer relations and experience for NVIDIA’s DSX AI infrastructure platform. Translate feedback from AI developers, enterprises, cloud providers, and open-source communities into product roadmaps. Create deployment guides, containerized workflows, reference architectures, and benchmarks; validate releases through early-access programs; conduct architecture reviews; measure developer engagement; and represent DSX at technical conferences. The role requires deep Linux, Python, C++, GPU, container orchestration, and AI framework expertise, plus extensive cross-functional technical leadership.

Lead ASIC verification for ARM-based SoCs and GPUs at both IP and SoC levels. Build UVM testbenches, apply constrained-random verification, develop C/C++ golden models and hardware-software co-verification tests, and verify complex interconnects, controllers, and I/O. Define coverage goals, use assertions and formal test planning, debug SoC corner cases, automate regressions with scripting, and collaborate across architecture, design, and pre- and post-silicon teams. Explore AI and LLM-driven workflows to improve verification productivity.