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

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132.90K - $156.70K/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 ...

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132.70K - $156.40K/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 ...

TLM - Computer Vision

Mountain View, CA · On-site

$21.25 - $28.50/hr

Masters or PhD in computer science, mathematics, engineering with 5 years of related working experience. * Experience in managing or tech-leading a team in a dynamic environment with record of ...

AI/ML Computer Vision Algorithm Engineer

Cupertino, CA · On-site

$137.60K - $162.20K/yr

... MS/PhD in Electrical Engineering, Computer Engineering, Computer Science or related fields (e.g. Applied Mathematics, Physics or Biomedical Engineering with relevant experience)Familiarity with ...

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130.90K - $154.30K/yr

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.Comprehensive understanding of diffusion models, transformers and auto ...

Staff Computer Vision Engineer

Santa Clara, CA · On-site

$129.90K - $153.20K/yr

PhD or MS in Computer Science, Electrical Engineering or a related field At least two-year experience in computer vision Essential hands-on experience in developing projects involving deep learning ...

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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 May 28, 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 are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

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.

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.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
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 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:
Infographic showing various Phd Computer Science job openings in Santa Clara, CA as of May 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.
Machine Learning Infrastructure and Data Engineer

Machine Learning Infrastructure and Data Engineer

Apple

Sunnyvale, CA • On-site

$134.40K - $161.40K/yr

Full-time

Posted 29 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to develop and extend pipeline infrastructure used for for solving large-scale data challenges, to help deliver new algorithms for Apple products and bring high impact to millions of users.
Join us as an ML Data and Infrastructure Engineer and become the architect behind the data infrastructure that power tomorrow's breakthrough AI/ML innovations. You'll be the critical link between ambitious algorithmic vision and real-world implementation-building the robust, scalable infrastructure that turns cutting-edge research into production-ready systems. We don't just use tools; we build them. You'll have complete ownership of the infrastructure that fuels our ML algorithms from conception to deployment, designing and orchestrating distributed compute systems that process massive datasets at scales few engineers ever encounter. Working shoulder-to-shoulder with AI/ML researchers and engineers in a small, agile team, you'll drive the creation of scalable infrastructure for ground truth data delivery, orchestrate massive distributed compute tasks across petabyte-scale datasets, develop novel validation frameworks, and help define strategic data collection approaches that push the boundaries of what's achievable. Your contributions won't just support algorithms-they'll directly shape product direction, unlock entirely new AI/ML capabilities, and define what's possible at Apple.
BS in computer science or related discipline and 3+ years of relevant industry experience.Experience developing or extending frameworks used for automating pipelines.Strong software engineering skills with extensive experience in Python.Strong foundational knowledge in Computer Science, with a deep understanding of algorithms and data structures.
MS or PhD computer science or related discipline, or 5+ years of related industry experience.Experience processing large, complex, unstructured data.Experience developing core infrastructure and frameworks for automating data pipelines.Excellent communication and experience working with multi-functional teams.Passion for delivering high quality software to end-users.Experience with geometry or computer vision algorithms.Self-motivated, with an ability to drive projects from concept to production, balancing requirements with technical quality and development timelines.

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976