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Software Engineer Applied Math Jobs in Berkeley, CA

Applied Materials

Software Engineer ||

Fairfield, CA · On-site

$124K - $171K/yr

Who We Are Applied Materials is the global leader in materials science and engineering solutions ... mathematics 2-4 years of related experience Proficiency in C/C++, .Net, C#, Operating Systems ...

Applied Materials

Software Engineer ||

Fremont, CA · On-site

$124K - $171K/yr

Who We Are Applied Materials is the global leader in materials science and engineering solutions ... mathematics 2-4 years of related experience Proficiency in C/C++, .Net, C#, Operating Systems ...

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All JobsSoftware Engineer Applied Math JobsSoftware Engineer Applied Math Jobs in Berkeley, CA

Software Engineer Applied Math information

See Berkeley, CA salary details

$77.8K

$180.6K

$251.6K

How much do software engineer applied math jobs pay per year?

As of Sep 13, 2026, the average yearly pay for software engineer applied math in Berkeley, CA is $180,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,900.00 and $211,800.00 per year, depending on experience, location, and employer.

What is a software engineer applied math?

A Software Engineer in Applied Math develops and implements mathematical models, algorithms, and simulations to solve complex problems in various domains such as finance, engineering, and data science. They use programming languages like Python, C++, or MATLAB to create efficient solutions based on numerical analysis, optimization, and machine learning. This role often involves collaborating with scientists, analysts, and engineers to enhance computational methods and improve decision-making processes.

What types of projects does a software engineer applied math typically work on?

Software Engineers specializing in Applied Math are often involved in developing algorithms, simulations, and analytical software that solve complex, real-world problems in fields like finance, engineering, machine learning, or data science. Daily responsibilities may include implementing mathematical models, optimizing existing code for performance, and collaborating with cross-disciplinary teams to refine solutions. Depending on the employer, you might work on projects such as risk modeling, signal processing, optimization engines, or predictive analytics tools. This role frequently requires balancing theoretical problem solving with practical software implementation to deliver robust, scalable applications. Working closely with researchers, data scientists, and other engineers, you will contribute to innovation and technical excellence in your organization's projects.

What are the key skills and qualifications needed to thrive as a software engineer applied math?

To thrive as a Software Engineer Applied Math, you need a solid background in computer science, mathematical modeling, and software engineering, often supported by a relevant degree such as computer science, applied mathematics, or engineering. Expertise in programming languages (such as Python, C++, or MATLAB), experience with numerical libraries and data analysis tools, and familiarity with version control systems are typically required. Strong analytical thinking, effective problem-solving, and the ability to communicate complex technical concepts are important soft skills for this role. These skills enable you to build efficient software solutions for complex mathematical problems, drive innovation, and collaborate effectively within technical teams.

Can you get a software engineer applied math job with a math degree?

A math degree can qualify you for a software engineer applied math position, especially if you have strong programming skills in languages like Python, C++, or Java, and experience with algorithms, data structures, and numerical methods. Employers often value analytical thinking and problem-solving abilities gained through a math background, but practical coding experience and familiarity with software development tools are also important. Additional certifications or coursework in computer science can enhance your chances of securing such roles.

What jobs can I do with a software engineer applied math degree?

A software engineer with an applied math degree can pursue roles such as data scientist, quantitative analyst, machine learning engineer, or software developer. These positions often require strong programming skills in languages like Python or C++, knowledge of algorithms, and experience with data analysis tools or mathematical modeling. Such roles are common in finance, technology, research, and analytics industries.

What are popular job titles related to Software Engineer Applied Math jobs in Berkeley, CA?

For Software Engineer Applied Math jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Software Engineer Applied Math jobs in Berkeley, CA look for?

The top searched job categories for Software Engineer Applied Math jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Software Engineer Applied Math jobs?

Cities near Berkeley, CA with the most Software Engineer Applied Math job openings:

Software Engineer Applied Math jobs near you
Infographic showing various Software Engineer Applied Math job openings in Berkeley, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $180,634 per year, or $86.8 per hour.

Staff Software Engineer - Machine Learning

San Francisco, CA • On-site

Hivemapper
Internet and IT • 11 - 50 employees
Learn more about Hivemapperexternal

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Hivemapper is a decentralized global mapping data network built by tens of thousands of contributors. The Staff Software Engineer - Machine Learning will help shape the computer vision strategy, produce production-grade ML solutions, and integrate these solutions with production systems.
Responsibilities:
• Help shape the CV strategy touching the full mapping stack, all the way from hardware to data insights
• Balance the state of the art and bleeding edge with practicality; produce production-grade ML solutions trained on a huge corpus of standardized data that are efficient w.r.t cost and performance
• Integrate ML solutions with our production systems; at the edge and in large offline clusters
Qualifications:
Required:
• Demonstrated expertise in building ML solutions, including training and deploying models, as well as integrating them into production software systems
• Hands-on experience with Image Processing and Computer Vision: Object Detection, Classification, Tracking, Localization, 3D Reconstruction, Vector embeddings, etc.
• Hands-on experience with general ML and Data Mining: Clustering, Predictions, Unsupervised Methods, Ensemble Methods, Graph Optimization, etc.
• Hands on experience with 3D reconstruction pipelines (either monocular or stereo)
• Strong programming and applied math skills (linear algebra, statistics, multivariate optimization)
• Strong software engineering fundamentals
Preferred:
• PhD in Computer Vision or related field
• Knowledge of distributed compute systems like Hadoop/Spark
• Experience with a variety of different ML frameworks (PyTorch, TensorFlow, OpenVINO, ONNX, etc.)
Company:
Hivemapper is a community-owned mapping network that creates unprecedented coverage, freshness, and quality. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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