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Software Engineer Applied Math Jobs in Berkeley, CA

Mercor

Software Engineer, Applied AI

San Francisco, CA · On-site

$130K - $500K/yr

About the Role As a Software Engineer, Applied AI on Mercor's Enterprise team, you'll operate at the intersection of engineering, product, and customer success. Engineers on this team are builders ...

Mercor

Software Engineer, Applied AI

San Francisco, CA · On-site

$130K - $500K/yr

About the Role As a Software Engineer on Applied AI , you'll build, deploy, and operate systems that sit directly between frontier AI research and data delivery. This is a high-ownership, deeply ...

Commure

Software Engineer, Applied AI

San Francisco, CA · On-site

$130K - $180K/yr

Professional software development industry experience * Strong Full-Stack programming skills * Very familiar with Frontend technologies (React, Flutter, Typescript, etc.) * Experience in environments ...

Instabase

Sales Engineer, Applied AI

San Francisco, CA · On-site

$157K - $175K/yr

At Instabase, we are moving beyond static software to dynamic AI workforces. As a Sales Engineer ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or equivalent ...

Instabase

Sales Engineer, Applied AI

San Francisco, CA · On-site

$157K - $175K/yr

At Instabase, we are moving beyond static software to dynamic AI workforces. As a Sales Engineer ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or equivalent ...

Commure

Senior Software Engineer, Applied AI

San Francisco, CA · On-site

$144.30K - $190.30K/yr

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience • 4+ years of professional software development industry ...

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$77.8K

$180.6K

$251.6K

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

As of May 30, 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 job?

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 are the key skills and qualifications needed to thrive in the Software Engineer Applied Math position, and why are they important?

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.

What types of projects do Software Engineers in 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.
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Software Engineer Applied Math jobs near you
Infographic showing various Software Engineer Applied Math job openings in Berkeley, CA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $180,634 per year, or $86.8 per hour.

Software Engineer, Applied AI

CHAOS Industries

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.
Role Overview
CHAOS is seeking a highly motivated, mission-oriented Applied AI Engineer to help develop, integrate, and deploy AI/ML-powered capabilities across our product lines.
In this role, you will work closely with other data scientists, software engineers, product teams, and mission stakeholders to conduct advanced AI research and turn them into reliable, real-world software. The work will focus especially on defense applications where the systems must perform with extreme accuracy under constrained, adversarial, and operationally complex conditions.
We are looking for someone with strong data science and software engineering fundamentals, a record of technical excellence, and demonstrated experience applying AI/ML techniques to real products. Experience in aerospace, defense, critical infrastructure, robotics, RF systems, or other highly regulated or mission-driven environments is a strong plus.
You should be comfortable operating with independence, learning unfamiliar technical domains quickly, working across disparate teams, and moving prototypes toward production with limited oversight.
Responsibilities
  • Build applied AI systems across CHAOS product lines, including model integration, inference services, evaluation pipelines, and production-facing AI capabilities
  • Perform research and build products by working with product and mission teams to research, collect data, verify hypothesis and create robust, testable, maintainable, and deployable models
  • Evaluate and improve model performance under real-world conditions, including adversarial GPS denied environments, low-power or edge deployments, and degraded or noisy inputs
  • Develop production-quality software for data pipelines for acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
  • Create rapid prototypes with mission and product teams, other relevant stakeholders and iterate toward production-ready implementations.
  • Contribute to AI system reliability, by conducting testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
  • Learn quickly from existing codebases, documentation, research artifacts, and domain experts, then use that knowledge to drive execution.
  • Manage time effectively across meetings, technical discovery, implementation, experimentation, and production support.

Travel and Location
  • Travel: 10-20%, mostly domestic.
  • Location: Must work on-site at least 2 days per week from our San Francisco office; 2-4 days per week preferred.

Minimum Requirements
  • BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field.
  • 2+ years of professional software development experience.
  • Strong Python programming skills.
  • Experience building, testing, deploying, and supporting production software systems.
  • Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management.
  • Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability.
  • Familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment environments/GPU optimization
  • Excited to learn unfamiliar technical domains

Preferred Qualifications
  • Experience with analog or digital RF signal processing
  • Experience with digital picture or video processing
  • Experience productizing machine learning models, LLM applications, computer vision systems, signal-processing systems, or autonomous/robotic systems.
  • Experience building AI agents or agentic workflows
  • Experience with drone, robotics, sensor fusion, tracking, or moving-target detection systems.
  • Contributions to open-source projects or technically significant public work.
  • Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is a strong plus
  • Familiarity with edge deployment, low-latency inference, hardware-constrained systems, or degraded-connectivity environments.

Why CHAOS?
  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 250 employees and counting across 5 global offices

$150k-170k
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
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