AI Researcher Jobs in Santa Clara, CA
AI Researcher jobs in Santa Clara are concentrated across semiconductor design, enterprise AI platforms, and applied machine learning, with hiring centered in the Central Expressway corridor, the Santa Clara Square district, and the area around Great America Parkway. 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 233+ AI Researcher Jobs in Santa Clara
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Who's Hiring
- AMD58

- NVIDIA58

- Palo Alto Networks44

- Fujitsu15

- MaxInsights15M
AI Researcher Jobs in Santa Clara: Frequently Asked Questions
How do I get a ai researcher job in Santa Clara?
Focus your search on Santa Clara's dense concentration of semiconductor companies, cloud infrastructure firms, and enterprise AI platform builders, where applied research roles open regularly. Candidates who stand out typically hold a graduate degree in machine learning, computer science, or a related field and can show published work or shipped model results. Targeting roles at fabless chip companies and AI infrastructure teams in the Central Expressway and Great America Parkway corridors gives you the most direct path into the local market.
Which companies hire ai researchers in Santa Clara?
Employers hiring ai researchers 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 companies, hyperscaler satellite offices, and enterprise software firms with dedicated AI research divisions.
Are there remote ai researcher jobs in Santa Clara?
Yes, though availability varies, since ai researcher roles that involve lab hardware, chip validation, or on-site compute clusters tend to require in-person presence while modeling, data analysis, and theoretical research work more readily remotely. About 79% of ai researcher openings tied to Santa Clara are remote or hybrid as of November 2026, reflecting the mix of hands-on and desk-based work in the local market. Roles at enterprise software and cloud platform teams in Santa Clara are the most likely to offer hybrid schedules.
How can I get a ai researcher job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through a research internship or associate researcher role at one of the city's semiconductor or AI platform companies, many of which run structured graduate recruiting programs. Lateral entry through machine learning engineering or data science roles at mid-size enterprise tech firms in the Santa Clara Square and Rivermark areas can also open doors. Building a portfolio of public research, contributing to open-source model work, and connecting with local AI meetups tied to Silicon Valley research communities gives early-career candidates a measurable edge here.
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