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Phd Computer Science Jobs in Santa Clara, CA (NOW HIRING)

Simular

PhD Research Intern

Palo Alto, CA · On-site

What you'll do As a PhD intern, you will ... Collaborate with research scientists to advance methods in: * Planning and RL for computer use (e.g ...

Adobe, Inc.

Computer Scientist

San Jose, CA · On-site

M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your ...

Adobe

Computer Scientist

San Jose, CA · On-site

M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your ...

Adobe

Senior Computer Scientist

San Jose, CA · On-site

S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills ...

Adobe, Inc.

Senior Computer Scientist

San Jose, CA · On-site

S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... computer science or equivalent relevant experience. • 5+ years of experience designing and ... Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer ...

Dexmate

Research Intern, PhD (AI, Robotics)

Fremont, CA · On-site

Currently enrolled in a PhD degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, etc., or related technical field. * Passionate about working with robots. * Research ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 ...

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All JobsPhd Computer Science JobsPhd Computer Science Jobs in Santa Clara, CA

Phd Computer Science information

See Santa Clara, CA salary details

$66.4K

$97.6K

$115.1K

How much do phd computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for phd computer science in Santa Clara, CA is $97,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $109,800.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Santa Clara, CA?

For Phd Computer Science jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Santa Clara, CA look for?

The top searched job categories for Phd Computer Science jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Phd Computer Science jobs?

Cities near Santa Clara, CA with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Santa Clara, CA as of August 2026, with employment types broken down into 40% Internship, and 60% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $97,606 per year, or $46.9 per hour.

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

Re-posted 21 days ago

Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI

Apply