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Phd Computer Science Jobs in Long Beach, CA (NOW HIRING)

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics ... PhD in a technical field * Demonstrated experience in leading AI work, ideally including work with ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics ... PhD in a technical field * Demonstrated experience in leading AI work, ideally including work with ...

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Phd Computer Science information

See Long Beach, CA salary details

$59.4K

$87.4K

$103K

How much do phd computer science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for phd computer science in Long Beach, CA is $87,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $98,300.00 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 Long Beach, CA?

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

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

The top searched job categories for Phd Computer Science jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Phd Computer Science jobs?

Cities near Long Beach, CA with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Long Beach, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,387 per year, or $42 per hour.

Computational Scientist, Quantum Energy Systems

Praxis, Inc.

Torrance, CA • On-site

$120 - $190/hr

Other

Medical, PTO

Posted 19 days ago

Job description

Company Overview

Pronoia Energy is a pioneering deep tech startup at the forefront of quantum energy storage innovation. As a lean, mission-driven team, we thrive on rapid prototyping, cross-disciplinary collaboration and solving complex engineering challenges to turn quantum physics into practical, scalable products. Our current focus is on developing our groundbreaking room-temperature macroscopic quantum energy storage technology that promises orders of magnitude greater energy density, faster charging, and higher power delivery as well as being cheaper and safer compared to existing battery technology. This represents a paradigm shift in energy storage with applications spanning consumer electronics, electric vehicles, renewable grids, and beyond.

Role Summary

To meet our ambitious goals we are hiring a Computational Scientist to let us test ideas before we build them, dramatically accelerating our progress. This is a foundational role in a high-stakes, high-reward startup environment, and because our materials function is still taking shape, you will help define how Pronoia does simulation. In this role you will simulate how our materials behave at the atomic and molecular scale, using methods such as density functional theory, molecular dynamics, and finite-element modeling. Because our entire strategy depends on running the experimental loop faster than anyone else, every experiment your simulations replace or guide is days or weeks saved. You will work closely with our experimental physicists and chemists, turning simulation into real experimental decisions and validating your models against measured reality. This role is onsite in Torrance, California.

Key Responsibilities
  • Build and run atomic- and molecular-scale simulations of our materials and candidate structures.
  • Connect simulation results to real experimental decisions, and validate models against measured data.
  • Establish the tools, methods, and standards for simulation across the company.
  • Collaborate tightly with the experimental teams who generate ground-truth data.
  • Provide data-driven insight that informs each design iteration.
Required Qualifications
  • PhD-level depth in computational materials science, condensed-matter physics, or computational chemistry.
  • Strong production coding in Python or C++ and fluency with real simulation packages.
  • A track record of connecting simulation to actual experimental outcomes, not only publications.
  • Comfort defining a function from scratch and excitement about the quantum-materials frontier.
  • A self-starter who thrives amid ambiguity and rapid iteration.
Preferred Qualifications
  • Experience simulating battery materials, electrodes, or quantum materials.
  • A record of turning simulations into decisions that changed an experiment.
  • Familiarity with high-performance and parallel computing for large simulations.
  • Prior work in deep tech R&D alongside interdisciplinary teams.
What We Offer
  • Chance to solve one of the world's biggest engineering challenges and pioneer quantum energy storage.
  • Competitive salary, equity in a transformative startup, and performance-based incentives.
  • Access to cutting-edge labs, tools, and resources in a flexible, collaborative work environment.
  • Comprehensive benefits: health insurance, unlimited PTO, professional development stipend, and relocation assistance if needed.
  • A culture of innovation where your work will accelerate our path to market impact.
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