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Math Software Engineer Jobs in Sausalito, CA (NOW HIRING)

Software Engineer

San Francisco, CA · On-site

$135K - $175K/yr

As an early-career Software Engineer, you ship production features from your first weeks - real ... A degree in CS or a related field (engineering, math, physics, statistics) - or show us what you've ...

Senior Software Engineer, UValidation

San Mateo, CA · On-site

$139K - $183K/yr

Expert 3D Math Foundation: Exceptional spatial reasoning and a deep mastery of 3D math ... Software Engineering Excellence: Strong programming skills in c++, Luau, Python (or similar ...

Bachelor's degree in computer science, Engineering Mathematics, or related field * Minimum 6-8 ... Experience testing software is a plus * Knowledge of design controls and regulations for medical ...

Bachelor's degree in computer science, Engineering Mathematics, or related field * Minimum 6-8 ... Experience testing software is a plus * Knowledge of design controls and regulations for medical ...

Bachelor's degree in computer science, Engineering Mathematics, or related field * Minimum 6-8 ... Experience testing software is a plus * Knowledge of design controls and regulations for medical ...

Software Engineer, Rust

San Francisco, CA · On-site

$105K - $170K/yr

We design all the hardware and software needed to make chips and we make the fabs, tools, and ... Interest in applied math, linear algebra, numerical methods, or scientific computing * Familiarity ...

Principal Software Engineer

San Francisco, CA · On-site +1

$139K - $249K/yr

Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis * Update software or enhance existing software ...

Showing results 41-60

Math Software Engineer information

See Sausalito, CA salary details

$72.2K

$167.8K

$233.8K

How much do math software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for math software engineer in Sausalito, CA is $167,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $196,800.00 per year, depending on experience, location, and employer.

What is a math software engineer?

Math Software Engineers are professionals who design, develop, and optimize software that performs complex mathematical computations. They often work on algorithms, numerical analysis, and simulation tools used in scientific research, finance, engineering, or data analysis. Their work ensures that mathematical models and computations are both accurate and efficient within various applications. Math Software Engineers typically have a strong background in mathematics, computer science, and programming languages such as Python, C++, or MATLAB.

How do math software engineers typically collaborate with other teams during the development process?

Math Software Engineers often work closely with cross-functional teams, such as data scientists, product managers, and front-end developers, to ensure mathematical models and algorithms are accurately implemented in software products. Collaboration involves regular meetings to discuss requirements, problem-solving sessions to address computational challenges, and code reviews for maintaining mathematical integrity. Communicating complex mathematical concepts in an accessible way is a key part of the role, enabling teams to create robust and efficient solutions that meet user needs.

What are the key skills and qualifications needed to thrive as a math software engineer, and why are they important?

To thrive as a Math Software Engineer, you need a strong background in mathematics, computer science, and algorithm development, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or MATLAB, along with experience using mathematical libraries and tools like NumPy or SciPy, is essential. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills that enhance performance in this role. These skills ensure the development of robust, efficient, and accurate mathematical software solutions that meet complex computational requirements.

What is the difference between Math Software Engineer vs Data Scientist?

AspectMath Software EngineerData Scientist
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentSoftware development teams, R&D labs, tech companiesData analysis teams, research departments, tech firms
Industry UsageDeveloping algorithms, modeling, simulationData analysis, predictive modeling, insights generation

Math Software Engineers focus on developing mathematical algorithms and software solutions, often working on simulations and modeling. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong math skills, Math Software Engineers are more involved in software development, whereas Data Scientists focus on data analysis and interpretation.

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

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

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

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

Infographic showing various Math Software Engineer job openings in Sausalito, CA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $167,812 per year, or $80.7 per hour.

Software Engineer

interface.ai

San Francisco, CA • On-site

$135K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

About interface.ai
interface.ai is the agentic AI platform for financial services - bringing conversational and agentic AI to the credit unions and community banks that serve everyday Americans. We're not a lab, we're not a demo company, and we're not burning runway on hypotheticals. We are in production, generating real revenue, and on a mission that matters: making intelligent financial services available to the millions of people who've never had a private banker. More than 100 banks and credit unions run on interface.ai, reaching over 10 million people. Many products are live today; the biggest bets - an AI-first contact center and an AI-native consumer banking experience - are what comes next. Backed by $30M in Series A funding and already cash-flow positive, we're at the inflection point: a proven product, paying customers, and a profitable business rebuilding itself as an AI-native company to lead a world where agents, not software, do the work.
Role Overview
We're rebuilding interface.ai as an AI-native company - and we want engineers who learn to work this way from day one, not after unlearning somewhere else's habits. As an early-career Software Engineer, you ship production features from your first weeks - real users, real money, real stakes - and take on larger scope as fast as you can carry it.
This is not a rotational program, and you won't be one of a cohort. We hire early-career engineers in ones and twos. Our product and engineering org is deliberately lean relative to the millions of conversations it serves - new engineers get real scope because there's no one else queued up for it. Agents take the routine work; you spend your time on decisions and on the evaluation harnesses that prove what shipped is correct.
We build in person, from San Francisco. At our stage speed is the whole game, and the fastest path between a problem and a decision is two engineers at the same desk. Scope, title, and pay track what you've put into production - the expected path is owning bounded pieces of the product end-to-end within your first year.
What You'll Own
  • Real features, fast. Production code in your first weeks, shipped to live financial institutions. No sandbox, no staging purgatory.
  • The proof. You own the evals for what you build. In a regulated industry, "it looks right" isn't a standard - evals are how you know what shipped is correct.
  • Your trajectory. Larger scope as fast as you can carry it. Bounded end-to-end ownership within year one is the expected path, not the exception.
  • The AI leverage. Build with LLMs daily - steering agents through the routine work so your time goes where judgment matters.

What We're Looking For
  • You build things nobody asked you to build - a side project with actual users, hackathon wins, merged open-source PRs, or internship work that shipped. Any one of these matters more to us than GPA.
  • You've built with LLMs and you verify their output instead of trusting it. Vibes don't pass review; evals do.
  • A degree in CS or a related field (engineering, math, physics, statistics) - or show us what you've built instead. Self-taught builders are welcome.
  • High agency - you'd rather be handed a problem than a ticket, and you close loops without reminders.
  • Graduating 2024 - December 2026, or up to ~2 years of experience.
  • On-site in downtown San Francisco office 5 days a week - we provide commuter benefits if in the general Bay Area, and relocation support if you're not.

Bonus
  • Competitive programming (Codeforces, ICPC, USACO) - a plus, not a requirement
  • Experience in fintech or banking infrastructure

Benefits
100% paid health, dental & vision care
401(k) & financial wellness perks
Daily meals on us
Commuter benefit
Monthly wellness stipend
Claude Enterprise + frontier AI tools for every employee - build with the best
Brand-new 21st-floor SF office at 44 Montgomery - floor-to-ceiling views, worth showing up to
Discretionary PTO + paid parental leave
Mental health, wellness & family benefits
A mission-driven team shaping the future of banking
Why interface.ai
Series A • $30M raised • Cash-flow positive - we're not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission is one you can explain to your family without a slide deck.
You'll work directly with Bruce Kim (CTO / Co-Founder), who sets the technical bar and goes deep on the hardest problems, and Srinivas Njay (CEO), who is hands-on daily across product and engineering. Founding-team-tier equity, top-of-market base, comprehensive benefits, and a modern San Francisco office worth showing up to. The team is small enough that your judgment shapes everything, and the market is large enough that what you build will matter for a long time.
interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees