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Scientific Computing Jobs in California (NOW HIRING)

Substrate

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Deep understanding of scientific computing, numerical methods, and computational modeling * Proven ability to translate scientific problems into machine learning approaches * Experience building ...

Bolt Graphics

R&D Engineer

Sunnyvale, CA · On-site

$150K - $220K/yr

About the role: We're looking for highly skilled R&D Engineers with expertise in algorithms, mathematical modeling, and scientific computing. The R&D Engineer will perform in-depth research on high ...

Radiant

Principal DevOps Engineer

El Segundo, CA · On-site

$56.25 - $77/hr

... and performance for scientific computing, including Ansys, STAR-CCM+, and Abaqus, covering licensing, environment setup, job orchestration, and results infrastructure. • Triage inbound ...

Aven

Data Scientist

Campbell, CA · On-site

Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and applied expertise in statistics, machine learning and experimental design * Excellent written and ...

Tamarind Bio

Computational Scientist

San Francisco, CA · On-site

... and scientific computing workflows • Comfort working with cloud infrastructure and ML tooling (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow) • Located in the SF Bay Area or able to relocate ...

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How much do scientific computing jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for scientific computing in California is $31.07, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.62 per hour, depending on experience, location, and employer.

What does someone working in scientific computing do?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in scientific computing?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is scientific computing?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in California? The most popular types of Scientific Computing jobs in California are:
What are popular job titles related to Scientific Computing jobs in California? For Scientific Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in California look for? The top searched job categories for Scientific Computing jobs in California are:
What cities in California are hiring for Scientific Computing jobs? Cities in California with the most Scientific Computing job openings:
Scientific Computing jobs near you
Infographic showing various Scientific Computing job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 22% Part Time, 3% Temporary, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $64,616 per year, or $31.1 per hour.

QA Engineer, Scientific Workflows

Mithrl

San Francisco, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Mithrl is a company focused on revolutionizing drug development through AI technology. They are seeking a QA Engineer to build the test, validation, and monitoring infrastructure for their AI Co-Scientist, ensuring the reliability and scientific correctness of the outputs.
Responsibilities:
• Build automated test infrastructure for data ingestion, analysis modules, discovery applications, and new product features
• Develop scientific validation frameworks that check correctness and reproducibility of ML driven biological analyses
• Establish CI workflows that run end to end tests on every commit and catch scientific and computational regressions
• Build monitoring and alerting systems that track the health, performance, and scientific integrity of product modules
• Design automated checks for omics workflows
• Validate that responses generated by Mithrl align with biological logic and expectations from discovery and preclinical development
• Work closely with ML engineers, data engineers, and application scientists to ensure scientific accuracy across releases
• Maintain documentation, data fixtures, and gold standard datasets for regression testing
• Support the development of QA processes that scale with rapid product growth and new analysis capabilities
• Build a culture of scientific correctness and software reliability throughout the engineering and product teams
Qualifications:
Required:
• PhD in biology, computational biology, bioinformatics, systems biology, or a related discovery field
• Deep understanding of the drug discovery and preclinical development lifecycle
• Hands-on experience working with omics data such as transcriptomics, RNA-seq, proteomics, ATAC-seq, single cell datasets, or imaging-derived features
• Ability to evaluate whether a result, analysis, or insight is scientifically correct based on domain knowledge
• Familiarity with common discovery analyses such as differential expression, enrichment, pathway reasoning, target scoring, and feature importance
• Experience with Python or similar languages and comfort with scientific computing workflows
• Strong interest in software quality, reproducibility, and validation of ML driven scientific systems
• Excellent communication skills and ability to partner with engineers and scientists
Preferred:
• Experience building automated tests or QA frameworks for scientific or ML systems
• Experience with workflow engines, scientific pipelines, or reproducibility tools
• Familiarity with CI tools and modern software development practices
• Experience validating outputs of AI powered analysis tools
• Previous work in a tech bio company or computational platform environment
Company:
Mithrl is a software development company that builds the custom workflows for NGS data on-demand. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Early Stage.

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