
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Founded: 1993
Headcount (approx.): 42,295
Core focus: GPUs, AI computing platforms, systems, and software
Notable software: CUDA, Omniverse
High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.
1993
Semiconductors / AI compute / Software platforms
$2 billion
Investment in CoreWeave to expand AI compute capacity.
$5 billion
Purchase of an equity stake in Intel as part of a collaboration.
$500 million - $1 billion (reported)
Reported investment in Poolside as part of a larger funding round.
NVIDIA is hiring a senior, hands-on engineer to lead technical innovation in our Design Verification (DV) automation infrastructure. This role requires a strong design/verification background combined with a proactive approach — identifying inefficiencies, proposing creative solutions, and implementing them with high ownership and impact. You will directly influence how verification is performed across NVIDIA’s next-generation Networking chips, enabling more scalable, efficient, and robust flows for complex ASICs powering the AI revolution. What You'll Be Doing - Lead the development of advanced verification automation tools, regression flows, and debug infrastructure. - Identify key challenges and inefficiencies in current DV methodologies and proactively propose and implement improvements. - Work closely with DV engineers, design teams, and tool developers to ensure solutions are practical and impactful. - Balance innovation with hands-on engagement in daily DV issues — keeping a strong connection to real-world challenges and support needs. - Act as a technical leader within the team, driving discussions, mentoring peers, and crafting strategic directions for DV automation. What We Need To See - B.Sc. or M.Sc. in Electrical Engineering or Computer Engineering (or related field). - 5+ years of experience in Design Verification/Chip Design, with a deep understanding of simulation, testbenches, regression infrastructure, and debug. - Proven ability to identify inefficiencies or recurring issues in DV workflows and develop automation scripts or tools to streamline processes and improve efficiency. - Strong analytical thinking and problem-solving skills. - Proficiency in Python and Linux. - Excellent communication and collaboration skills — comfortable working across engineering teams. Ways To Stand Out From The Crowd - Experience with contemporary DV methodologies, such as intelligent test planning or advanced debug workflows (e.g., automated log parsing, waveform analysis, or triage tooling). - Familiarity with recent industry trends in design verification, including AI-assisted debugging, smart triage, or LLM-based tools. - Proven ability to craft and deliver custom automation flows that scale to large regressions or complex simulation environments. - Hands-on contribution to DV infrastructure development within CAD/DA teams or large SoC projects. - Comfort working across teams, collecting feedback, and turning it into practical, adopted tooling. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers. JR1999391