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Software Engineer Applied Math Jobs in Berkeley, CA

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Software Engineer, Applied AI

San Francisco, CA · On-site

$155K - $260K/yr

We're applying principles of software engineering and data systems to scale accounting. We tackle the hard problems. Accounting does not need more duct tape. We've rethought the field-its primitives ...

Applied Materials, Inc.

Software Engineer II

Benicia, CA · On-site

$108 - $148.50/hr

Applied Materials is a global leader in materials engineering solutions used to produce virtually ... 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 Aug 23, 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 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 August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $180,634 per year, or $86.8 per hour.

Fullstack Software Engineer, Applied AI

Mercor, Inc.

San Francisco, CA • On-site

$120 - $160/hr

Other

Medical, Dental, Vision

Posted 5 days ago

Job description

About the Role

Studio is one of Mercor's highest-priority initiatives. It is the internal platform that powers every workflow our teams use to generate, manage, quality-review, and deliver labeled data to the world's leading AI labs — and its quality directly shapes the frontier models that billions of people interact with.

As a Fullstack Software Engineer on the Applied AI team, you'll own Studio end-to-end: the React frontend used daily by thousands of expert contributors and internal Strategic Project Leads, and the backend services powering data pipelines and delivery of outputs to customers. You'll also build and maintain the foundational layer that Mercor's Leverage Engineering team depends on to rapidly deploy new data types and task formats across the company. Four distinct stakeholders — AI labs, SPLs, expert contributors, and Leverage Engineering — rely on what you build.

This is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make everyone who touches Studio faster and more effective.

You Will

  • Own the Studio platform across the full stack — from contributor-facing and operator-facing React interfaces to the backend APIs and pipelines driving data ingestion, QA review, and AI lab delivery.

  • Lead engineering best practices across the team, setting the bar for frontend architecture, component design, and performance, and establishing patterns that others can build on reliably.

  • Build the foundational layer that Leverage Engineering and other teams depend on to support new data types, task formats, and customer configurations quickly and without rework.

  • Ship high-leverage product features that improve throughput and quality across our core data generation and delivery pipelines.

  • Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.

What We're Looking For

  • 5+ years of fullstack engineering experience building and shipping production software.

  • Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns.

  • Solid backend experience in Python and/or Node.js — experience designing and building relational databases, REST APIs, and async task infrastructure.

  • Strong design sense and empathy for end-users; you hold a high bar for usability.

  • Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures.

  • High ownership mindset; able to navigate ambiguity and drive projects from design through delivery.

  • Strong communication skills and ability to articulate technical and product tradeoffs clearly.

Nice-to-Haves

  • Experience building tooling for data labeling, annotation, or human-in-the-loop AI workflows.

  • Background in design systems, developer-facing APIs, or internal platform engineering.

  • Exposure to AI tools, LLM-powered products, or real-time data and visualization.

  • Experience at top-tier tech companies or fast-scaling startups.

Benefits

  • Bi-annual performance bonus structure

  • Generous equity grant vested over 4 years

  • Up to $15k Relocation bonus

  • $10K proximity bonus (if you live within 0.5 miles of our office)

  • $1.5K monthly stipend for meals

  • Free Equinox membership

  • $200 monthly laundry reimbursement

  • $200 monthly personal wellness reimbursement

  • Health, Dental, Vision insurance

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