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Computational Software Developer Jobs in Santa Clara, CA

Sapsol Technologies Inc

C++ Developer

Mountain View, CA · On-site

$200 - $250/hr

Role Summary Build the core software foundation for simulation-based systems in specialty domains ... Experience with geometry/CAD ingestion or computational geometry (useful in shape-driven analysis)

Sapsol Technologies Inc

C++ Developer

Mountain View, CA · On-site

$57.75 - $77.75/hr

Requirements Role Summary Build the core software foundation for simulation-based systems in ... Differentiating Capabilities Experience with geometry/CAD ingestion or computational geometry ...

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

The Video Engineering team is behind the cutting-edge camera and imaging technologies that power ... From capturing cinematic video to enabling breakthrough computational photography, we're shaping ...

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

The Video Engineering team is behind the cutting-edge camera and imaging technologies that power ... From capturing cinematic video to enabling breakthrough computational photography, we're shaping ...

Sapsol Technologies Inc

C++ Developer

Mountain View, CA · On-site

$57.75 - $77.75/hr

Requirements Role Summary Build the core software foundation for simulation-based systems in ... Differentiating Capabilities • Experience with geometry/CAD ingestion or computational geometry ...

Danaher

Software Engineer Internships

San Jose, CA · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

San Jose, CA · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Muon Space

Software Engineer, Entry-Level

San Jose, CA

$142K - $169K/yr

About the role Software Engineers at Muon work on embedded software on satellites and test ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

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Computational Software Developer information

See Santa Clara, CA salary details

$56.4K

$131.4K

$195K

How much do computational software developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computational software developer in Santa Clara, CA is $131,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $152,700.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Computational Software Developer jobs in Santa Clara, CA?

For Computational Software Developer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Computational Software Developer jobs in Santa Clara, CA look for?

The top searched job categories for Computational Software Developer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Computational Software Developer jobs?

Cities near Santa Clara, CA with the most Computational Software Developer job openings:

Computational Software Developer jobs near you
Infographic showing various Computational Software Developer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,355 per year, or $63.2 per hour.

Senior Computational Scientist - Systems Biology & NextGen Data Engineering

Calliere

Union City, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Step into a role where code meets clinical impact. We're building the next generation of datadriven diagnostics - at the intersection of biology, computation, and machine learning. You'll join a tight-knit team of scientists and engineers decoding huge multiomic datasets to uncover patterns that actually change patient outcomes.

What You'll Do Architect and optimize computational pipelines that turn raw highresolution molecular data into clean, interpretable insights. Apply advanced statistical and algorithmic frameworks to analyze ultralarge celllevel and spatial datasets. Design and validate novel biomarkers and molecular signatures that accelerate diagnostic innovation.

Maintain scalable, reproducible data workflows capable of handling cohorts of hundreds or thousands of biological samples. Partner with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility. Requirements What You Bring Ph.D

(or equivalent experience) in computational biology, bioinformatics, genomics, or a quantitative discipline. 5+ years working handson with singlecell, spatial, or highthroughput sequencing data. Deep understanding of algorithmic performance, statistical rigor, and how analytical assumptions translate to biological meaning.

Strong engineering mindset - you write clean, extensible code that scales gracefully. Expertlevel fluency in Linux and modern programming ecosystems. Independent drive, intellectual curiosity, and relentless attention to detail.

Bonus Points For Experience with nextgeneration spatial or singlecell assay platforms. Background in oncology, immunology, or systemslevel disease research. Familiarity with biomarker discovery pipelines or clinical data integration.

Machine learning or statistical modeling applied to multiomic data. Practical experience with workflow orchestration (Nextflow, Snakemake, or similar). Solid software engineering habits - reproducible analysis, version control, peer review, and testing.

Comfort operating in highperformance or cloud computing environments. If you're driven by the idea of building tools that help decode biology at scale and you thrive where data meets diagnostics, this is your stage.

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