AI Research Engineer Jobs in Santa Clara, CA
AI Research Engineer jobs in Santa Clara are in strong demand, concentrated in the central business district around El Camino Real, the Lawrence Expressway corridor, and the Tasman tech cluster, across semiconductor design, cloud infrastructure, and enterprise AI platforms. Employers hiring right now include AMD, NVIDIA, and Palo Alto Networks. Find a role that fits below and apply directly.
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We are now looking for a Senior Research Scientist!
NVIDIA is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). AI and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future.
What you'll be doing:
- 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.
- 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.
What we need to see:
- Research Excellence: PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 2+ years of post-PhD research experience and a 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.
- Domain & Technical Expertise: Deep knowledge in EDA/VLSI (e.g., synthesis, formal verification, timing, reliability, or physical design algorithms) combined with 5+ years applying AI techniques (supervised, unsupervised, RL) and GPU/accelerator-based computing to large-scale problems.
- Programming & Systems Skills: 5+ years of experience in software development; strong expertise in high-performance computing, parallelism, optimization, and large-scale software engineering.
- Leadership & Collaboration: experience in leading research projects or teams, with a track record of mentoring junior scientists, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry. Communication & Impact: Excellent written and verbal communication skills, with 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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits .
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 261+ AI Research Engineer Jobs in Santa Clara
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Find AI Research Engineer JobsAI Research Engineer Job Market in Santa Clara
Who's Hiring
- AMD87

- NVIDIA58

- Palo Alto Networks44

- Fujitsu15

- MaxInsights15M
AI Research Engineer Jobs in Santa Clara: Frequently Asked Questions
How do I get a ai research engineer job in Santa Clara?
Focus your search on Santa Clara's dominant hiring sectors: semiconductor and chip design firms along the Lawrence Expressway corridor, hyperscale cloud providers near Tasman Drive, and enterprise software companies throughout the central business district. Candidates who combine deep ML research skills with hands-on experience in hardware-aware model optimization or large-scale inference systems stand out locally. Building a public research portfolio and contributing to open-source projects that align with silicon or cloud workloads gives you a measurable edge in this market.
Which companies hire ai research engineers in Santa Clara?
Employers hiring ai research engineers in Santa Clara right now include AMD, NVIDIA, and Palo Alto Networks, based on current listings on Migrate Mate as of November 2026. Santa Clara's employer mix skews heavily toward semiconductor manufacturers, hyperscale data center operators, and enterprise AI platform companies with large on-site research teams.
Are there remote ai research engineer jobs in Santa Clara?
Yes, though remote availability is moderate for this role since much ai research engineer work tied to Santa Clara involves on-site collaboration with hardware teams and access to proprietary compute clusters. About 85% of ai research engineer openings tied to Santa Clara are remote or hybrid as of November 2026. Roles focused on software-side modeling, algorithm development, and paper-driven research tend to offer the most location flexibility among local postings.
How can I get a ai research engineer job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through research internships at semiconductor companies or cloud infrastructure teams that recruit directly from university programs, including partnerships with nearby Stanford and UC Berkeley. Target entry-level titles such as research intern, associate research engineer, or machine learning engineer I at firms along the Tasman Drive and Great America Parkway corridors. A strong graduate thesis, published work, or a well-documented open-source project in areas like model compression, efficient transformers, or hardware-software co-design carries significant weight with Santa Clara hiring teams.
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