NVIDIA · 2 days ago
Senior Research Scientist, Design Automation Research
Santa Clara, CA
Full-time
Onsite
Senior Level
$184K/yr - $299K/yr
5+ years expNVIDIA is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). This role involves defining and conducting original research, innovating in EDA software, and collaborating with cross-functional teams to translate research into real-world product impact.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques
Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods
Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows
Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact
Engage with the global research community by publishing in premier conferences, presenting at leading venues, and driving thought leadership
Foster collaboration with external researchers and diverse internal product teams to amplify research outcomes
Qualification
Required
PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
3+ years of post-PhD research experience
Strong record of impactful publications in top EDA and AI/ML venues
Proven ability to set research direction and translate ideas into tools or products
Deep knowledge in EDA/VLSI (e.g., synthesis, physical design, verification, timing, reliability, or CAD algorithms)
5+ years applying machine learning/deep learning (supervised, unsupervised, RL) and GPU/accelerator-based computing to large-scale problems
5+ years of experience in software development
Proficiency in at least two of Python, PyTorch, C++, or CUDA
Strong expertise in high-performance computing, parallelism, optimization, and large-scale software engineering
Experience in leading research projects or teams
Track record of mentoring junior scientists
Driving cross-functional initiatives with circuits/VLSI/architecture groups
Fostering collaborations with academia or industry
Excellent written and verbal communication skills
Demonstrated experience presenting at top conferences
Track record of releasing high-impact open-source tools, datasets, or frameworks
Ability to influence both technical and non-technical audiences
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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2026-01-09
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2026-01-09
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