Research Jobs in Santa Clara, CA
Research jobs in Santa Clara are in strong demand, concentrated in the Central Expressway corridor, the Santa Clara Square office park, and the Mission College district across semiconductor, biotech, and enterprise technology sectors. Employers hiring right now include NVIDIA, ServiceNow, and Palo Alto Networks. Find a role that fits below and apply directly.
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At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.
The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.
What you’ll be doing:
Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
Publish research at top conferences and transfer innovations into NVIDIA products.
What we need to see:
Currently pursuing a PhD in CS, EE, Robotics, or related fields.
Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
Prior publication record and research experience.
Strong Python and PyTorch skills.
Ways to stand out from the crowd:
Experience with large-scale foundation model training.
Research in video models, VLMs, world models, robotics, or autonomous driving.
Experience with distributed training, simulation, or embodied AI.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until September 19, 2026.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.At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.
The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.
What you’ll be doing:
Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
Publish research at top conferences and transfer innovations into NVIDIA products.
What we need to see:
Currently pursuing a PhD in CS, EE, Robotics, or related fields.
Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
Prior publication record and research experience.
Strong Python and PyTorch skills.
Ways to stand out from the crowd:
Experience with large-scale foundation model training.
Research in video models, VLMs, world models, robotics, or autonomous driving.
Experience with distributed training, simulation, or embodied AI.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until September 19, 2026.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 578+ Research Jobs in Santa Clara
Find roles in Santa Clara that match your experience and apply in just a few clicks.
Find Research JobsResearch Job Market in Santa Clara
Who's Hiring
- NVIDIA238
- ServiceNow68
- Palo Alto Networks68
- Roche34
- PlusAI34
Top Industries Hiring
- Law & Legal Services
Research Jobs in Santa Clara: Frequently Asked Questions
How do I get a research job in Santa Clara?
The strongest path in Santa Clara is targeting the semiconductor and silicon design firms clustered along the Central Expressway corridor and the biotech companies near the Great America Parkway area. A background in electrical engineering, materials science, or data analysis carries well here. Candidates who have hands-on lab experience or have worked with industry-standard simulation and testing tools tend to move through hiring processes faster than those with purely academic credentials.
Which companies hire researchs in Santa Clara?
Santa Clara research roles are posted by NVIDIA, ServiceNow, and Palo Alto Networks and others right now, based on current listings on Migrate Mate as of September 2026. The local employer base skews heavily toward chip design houses, cloud infrastructure companies, and medical device manufacturers, all of which maintain in-house research teams rather than relying on outside contractors.
Are there remote research jobs in Santa Clara?
Yes, though availability varies sharply by specialty. Computational, data, and literature-review roles often allow remote or hybrid arrangements, while wet-lab, hardware, and fabrication positions require on-site presence. About 50% of research openings tied to Santa Clara are remote or hybrid as of September 2026, with the highest flexibility found in machine learning research and policy analysis roles at technology firms.
How can I get a research job in Santa Clara with little or no experience?
The most realistic entry point in Santa Clara is a research associate or junior analyst role at one of the mid-size semiconductor or SaaS companies that regularly hire recent graduates. Intel, AMD, and similar firms in the area run structured university hiring programs that feed directly into research teams. Internship experience with any Santa Clara-area company, even in a tangentially related function, signals local market familiarity and significantly strengthens an entry-level application.
Which industries hire the most researchs in Santa Clara?
Most research openings in Santa Clara sit in Law & Legal Services, per current listings on Migrate Mate as of September 2026. Santa Clara's position as a global center for chip design and cloud infrastructure means research demand is driven by deep product development cycles rather than consulting or services work, keeping headcounts relatively stable even during broader tech hiring slowdowns.
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