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Theoretical Computer Science Jobs in California (NOW HIRING)

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 ...

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Theoretical Computer Science information

See California salary details

$10.9K

$125K

$168.8K

How much do theoretical computer science jobs pay per year?

As of Jul 23, 2026, the average yearly pay for theoretical computer science in California is $124,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $151,000.00 per year, depending on experience, location, and employer.

What is theoretical computer science?

Theoretical computer science is a branch of computer science that focuses on understanding the fundamental principles and mathematical foundations of computation. It includes areas such as algorithms, computational complexity, automata theory, and formal languages, often requiring strong mathematical and analytical skills. Professionals in this field analyze the limits of what computers can solve and develop models to improve computational efficiency.

What are the key skills and qualifications needed to thrive in the Theoretical Computer Science position, and why are they important?

To thrive in Theoretical Computer Science, a strong background in mathematics, algorithms, and computational theory is essential, usually backed by an advanced degree such as a master's or PhD in computer science or a related field. Familiarity with formal verification tools, mathematical modeling software, and programming languages like Python or C++ is often required. Critical thinking, analytical reasoning, and effective written communication are standout soft skills for this role. These competencies are vital for developing rigorous proofs, articulating complex concepts, and contributing meaningful insights to the field.

What is the highest paying job in computer science?

In computer science, roles such as machine learning engineer, data scientist, and software architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in algorithms, programming, and sometimes specialized certifications or experience with large-scale systems.

What are typical responsibilities for someone working in Theoretical Computer Science?

Theoretical Computer Science professionals often spend their days conducting original research, developing new algorithms, and analyzing computational problems from a mathematical perspective. They may collaborate closely with other researchers in interdisciplinary teams, attend academic conferences, and contribute to scholarly publications. While much of the work is individual and highly focused, regular interaction with collaborators and the broader academic community is common. This role can also involve mentoring students and engaging in peer review, making it both intellectually stimulating and highly collaborative.

What jobs can you do with theoretical computer science?

Theoretical computer science graduates can pursue roles such as research scientists, algorithm engineers, cryptographers, and data scientists. These positions often require strong analytical skills, knowledge of algorithms, and programming proficiency in languages like Python or C++, with opportunities in academia, industry, and government research labs.

Is computer science dead due to AI?

Theoretical computer science remains a fundamental field that underpins AI development, algorithms, and computational theory. AI advances create new research challenges and job opportunities for computer scientists skilled in areas like algorithms, machine learning, and data structures.

What is a Theoretical Computer Science job?

A Theoretical Computer Science job focuses on studying the fundamental principles of computation, algorithms, complexity, and mathematical models of computing. Professionals in this field work on problems related to computational efficiency, cryptography, machine learning theory, and formal methods. They often conduct research in academia, develop new algorithms, or contribute to cutting-edge technology in industry. These roles typically require strong mathematical skills and expertise in logic, discrete mathematics, and algorithm design.

What are the most commonly searched types of Theoretical Computer Science jobs in California? The most popular types of Theoretical Computer Science jobs in California are:
What job categories do people searching Theoretical Computer Science jobs in California look for? The top searched job categories for Theoretical Computer Science jobs in California are:
What cities in California are hiring for Theoretical Computer Science jobs? Cities in California with the most Theoretical Computer Science job openings:
Infographic showing various Theoretical Computer Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $124,954 per year, or $60.1 per hour.
Assistant Project Scientist - Control Theory for Theoretical Neuroscience - Helen Wills Neuroscience

Assistant Project Scientist - Control Theory for Theoretical Neuroscience - Helen Wills Neuroscience

University of California, Berkeley

Berkeley, CA • On-site

Other

Posted 10 hours ago


University Of California Berkeley rating

8.6

Company rating: 8.6 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

55th of 560 rated colleges and universities


Job description

Position overview
Position title: Assistant Project Scientist
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment.
See the following table for the current salary scale for this position: Table 37 A reasonable full-time estimate for this position is $79,400 to $92,200.
Percent time: 100%
Anticipated start: Summer 2026
Position duration: Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: May 22, 2026
Next review date: Saturday, Aug 8, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Tuesday, Sep 8, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for an Assistant Project Scientist rank in the Bouchard Lab, in the area of control theory for theoretical neuroscience. The Bouchard lab at LBNL/UC Berkeley is an interdisciplinary team that focuses on understanding how distributed neural circuits give rise to coordinated behaviors and perceptions. We are looking for an Assistant Project Scientist to work at the interface of control theory, information theory, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high-dimensional neural population dynamics from diverse brain areas.
The position is located at UC Berkeley (UCB) and Lawrence Berkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, UCB, and UC Davis. This Bay Area collaboration combines UCSF/UCD's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, LBNL's supercomputing and applied mathematics, together with electronics and micro-fabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree)
Additional qualifications (required at time of start)
Minimum of four years of postdoctoral research experience
Preferred qualifications
+Experience in control theory, information theory, and/or machine learning required.
+Expertise in theoretical neuroscience preferred
+Excellent writing and communication skills
+Strong publication record in peer reviewed journals
+PhD in neuroscience, computer science, physics, electrical engineering, mechanical engineering, etc.,
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
    (Optional)

Reference requirements
  • 3 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF05380
Help contact: kebouchard@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy ( APM 210 1-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy .
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Berkeley, CA

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