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Computational Software Developer Jobs in California

Develop software tools and algorithms to optimize simulation processes and improve computational efficiency. * Stay up to date with advancements in computational techniques, programming languages ...

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Computational Software Developer information

See California salary details

$47.4K

$110.4K

$163.8K

How much do computational software developer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for computational software developer in California is $110,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Software Developer, and why are they important?

To thrive as a Computational Software Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid understanding of algorithms, and typically a degree in computer science, mathematics, or a related field. Familiarity with computational libraries (such as NumPy, SciPy, or TensorFlow), version control systems like Git, and experience with high-performance or parallel computing are commonly required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills for excelling in this role. These skills and qualities enable developers to create robust, efficient computational solutions and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by Computational Software Developers, and how can they be addressed?

Computational Software Developers often encounter challenges such as optimizing code for high-performance computing, ensuring numerical accuracy, and integrating complex algorithms with existing systems. These challenges can be addressed by staying up-to-date with the latest computational techniques, collaborating closely with domain experts, and utilizing profiling tools to identify performance bottlenecks. Regular code reviews and testing are also essential to maintain reliability and foster knowledge sharing within multidisciplinary teams.

What is a Computational Software Developer?

A Computational Software Developer is a professional who designs, develops, and maintains software systems that perform complex mathematical, scientific, or engineering computations. They often work in fields such as scientific research, engineering, finance, and data analysis, creating tools that simulate processes, analyze data, or solve computational problems. These developers typically possess strong programming skills in languages like Python, C++, or MATLAB, and have a solid understanding of algorithms, mathematics, and domain-specific knowledge relevant to their projects.
What are popular job titles related to Computational Software Developer jobs in California? For Computational Software Developer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Computational Software Developer jobs? Cities in California with the most Computational Software Developer job openings:

Computational Biologist

NewLimit

South San Francisco, CA

$150K - $200K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

About NewLimit

NewLimit is a biotechnology company working to radically extend human healthspan. We're developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.

Description

NewLimit is seeking a Computational Biologist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell perturbation screens. Success in this position requires a deep attention to methodological detail at every stage of the analysis, as well as careful measurement and evaluation of pipeline performance.

You will work closely with experimentalists and computational scientists to maintain core infrastructure, assess emerging analysis tools, and build robust software solutions that improve efficiency, scalability, and reliability.

As a member of our team, you will:

  • Collaborate with Write, Read, and Predict teams to support the design, execution, and interpretation of experiments using single-cell and multi-omics data
  • Contribute to the development and implementation of primary and secondary analysis software.
  • Improve and run production pipelines for large-scale single-cell perturbation screens to ensure timely and reliable data delivery
  • Contribute to the development of reproducible, well-documented computational workflows and internal best practices
  • Develop microservice web applications and integrations that reduce wet lab manual effort and improve data flow between teams
Requirements
  • Bachelor's, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field
  • Experience analyzing and interpreting single-cell or multi-omics datasets (e.g., scRNA-seq, multiome, scATAC-seq), with hands-on exposure to perturbation screens preferred
  • Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control
  • Strong software engineering fundamentals and experience working with bioinformatics tools and pipelines
  • Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression analysis, supervised learning) sufficient to critically evaluate analytical choices and interpret results conceptually
Nice to haves
  • Proficiency with Python-based data science tools (NumPy, SciPy, Pandas)
  • Experience with cloud computing environments (AWS, GCP, or Azure)
  • Strong Python programming skills and comfort working in Unix-based environments
  • Experience with containerized workflows (Docker, Singularity)
  • Familiarity with molecular biology workflows and experimental genomics
Benefits
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Industry-leading paid time off (PTO) -- 20 days/year for all employees + holidays
  • Paid parental leave
  • Meals and snacks on-site

Salary Range: $150,000 to $200,000+. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers   *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.