Swift Solar Verified

Renewable Energy, Materials Science, Deep Tech

Staff/Senior Software Engineer

San Carlos, CAHybridFull TimeSenior$150,000–$220,000 /yrPosted 29 days agoVisa sponsorship available

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Required skills

AI products
technical progress
next-generation solar solutions
experiment plans
automated optimizer
planning and reasoning layer
multi-agent system
experiment campaigns
frontier models
AI coding tools

Nice to have

multi-agent systems
ranking
review
memory between runs
evaluations
benchmarks for LLM agents

Role summary

Swift Solar is seeking a Staff/Senior Software Engineer to build AI products that accelerate the development of next-generation solar solutions. This role involves leading the development of the planning and reasoning layer for AI-driven experiment design, utilizing multi-agent systems and LLMs. The engineer will work with scientists to translate research objectives into production systems, ensuring high code quality through AI coding tools and rigorous testing. Responsibilities include maintaining data pipelines, reviewing code, mentoring junior engineers, and contributing to public whitepapers. The ideal candidate has 5+ years of software engineering experience, proficiency in Python and TypeScript, experience with LLM APIs and agent development, and a strong ability to take ideas from prototype to production. Experience with scientific data analysis and database management is preferred. This is a hybrid role based in San Carlos, CA, offering a competitive salary and benefits package.

About the company

At Swift Solar, our mission is to unlock the full potential of solar energy. We believe solar can provide affordable, reliable, resilient, clean energy to virtually anyone, anywhere. But while today’s solar technology is good, it’s not good enough.

Swift Solar’s breakthrough perovskite-silicon tandem technology will drive solar power to commanding new heights. Our tandem cells stack a perovskite layer on top of a heterojunction (HJT) silicon cell, delivering dramatically higher efficiency than traditional silicon alone. In 2026, we acquired Meyer Burger’s HJT intellectual property and manufacturing assets, giving us the world’s most extensive HJT patent portfolio and a clear path to gigawatt-scale domestic production.

This vertically integrated approach means we can design, manufacture, and scale next-generation solar solutions entirely in the United States—from silicon foundations to perovskite innovations. Our technology enables applications ranging from space solar to utility-scale power generation, creating American-made solutions for a world facing growing energy challenges.

Swift Solar is on a journey to bring revolutionary clean-energy technology to market. We’re in it for the long haul, with support from world-class investors. Join our extraordinary team building the cutting-edge solar technology that will power the future.

A day in the life

You'll build AI products that assist scientists and accelerate our technical progress towards next-generation solar solutions. Every experiment we run costs tool time, materials, and scientists' attention, so choosing what to run next is one of the biggest levers on how fast our cells improve. You'll build the AI that helps our scientists make those choices. Our systems read scientific literature and query our lab and manufacturing data, then propose experiment plans that an automated optimizer uses to execute them. You will lead development of the planning and reasoning layer, which takes a research objective as input and uses a multi-agent system to guide our scientists and reach goals faster through the best selected experiment campaigns. Additionally, we need to measure what works and how frontier models and our own agents perform on problems our team has already worked through, so we can improve the system over time.

This is also a place to experiment. When a promising new paper, model, or agent design comes out in AI for science, you can try it here on real problems instead of benchmarks someone else chose. You'll work with scientists who have spent years on perovskites, who know which questions matter and can tell you quickly whether an agent's answer makes sense. Because we develop the process and make the devices ourselves, the data, tools, and people who understand them live in the same company, so an idea can go from your screen to a measured result without waiting on anyone outside.

Most of this is greenfield work, and speed matters. You'll get rough versions in front of scientists quickly, watch how they use them, and turn the ideas that hold up into production systems people rely on every day. Knowing when a prototype is ready to harden, and doing it without losing momentum, is a big part of the job.

Alongside the agent work, you will:

Hold AI-written code to a high bar. Nearly all of our code is written with AI coding tools, so critically reviewing the output and keeping the codebase documented and tested matters.

Help keep our existing data systems running, including the pipeline that brings instrument data into our database.

Review code across the team, and help hire and mentor new engineers as the team grows.

Write about what we learn for our public whitepaper series and, when the work holds up, publish it in papers and present it at conferences.

You might be a good fit if you...

Have 5+ years of professional software engineering experience, including systems that real users depend on

Have built full-stack web applications, with a Python backend and a TypeScript/JavaScript frontend (React, Vue, Svelte, or similar)

Have built applications on frontier LLMs through their APIs, such as agents, multi-step orchestration (e.g., LangGraph), or systems where models call tools

Can take an idea from a quick prototype to a production system that people depend on

Use AI coding tools like Claude Code every day, and can tell when what they produce is wrong

Have a CS degree or a comparable record of open-source or portfolio work

Write documented, tested code and are comfortable working in a shared codebase with git

Can explain technical tradeoffs to scientists who aren't software engineers

Take initiative and work independently

Are coachable and comfortable when priorities change quickly

Are kind, empathetic, conscientious, and motivated to make an impact on climate change

A strong candidate might bring one or more of the following...

Experience with multi-agent systems, especially ranking, review, or memory between runs

Experience building evaluations or benchmarks for LLM agents

Experience designing complex software architecture and leading projects end-to-end without much oversight

Familiarity with Bayesian optimization, surrogate models, fine-tuning of open-weights models, or reinforcement-learning environments

Experience analyzing and plotting scientific data

An interest in science, shown through conferences, side projects, or papers (a science background is not required)

Experience getting skeptical users to adopt internal tools

Experience with SQL or database administration, AWS, Azure, or GCP, or CI/CD

Experience working at a startup

The logistics

Compensation: Competitive package including salary, equity, and benefits

Expected Pay Range: $150,000 - $220,000 per year

The actual offer, reflecting total compensation and benefits, will be determined by factors such as relevant experience, skills, and other qualifications

Ideal start date: November - December 2026

Job type: Full-time

Location: San Carlos, CA (Swift Solar HQ), with some remote days possible

What you’ll love about Swift

Work with purpose: Join our mission to unlock the full potential of solar energy and make a global impact.

Lead with innovation: Be part of an extraordinary team building cutting-edge solar technology - growth mindset; culture

Thrive with benefits: Have 100% of your monthly premiums for HMO / PPO group healthcare plan options and 75% of your dental and vision insurance premiums covered by us. Employees also benefit from 401(k) matching, clean commuter benefits, and meaningful equity.

Invest in your career: You’ll grow your skills, your network, and your perspective at Swift. We’ll support you in attending conferences and taking online courses, as long as you share your new insights with the team.

We recognize that candidates from underrepresented backgrounds often hesitate to apply if they don’t meet all the criteria. If you’re excited about this role and believe you can contribute to our team, we encourage you to apply—even if you don’t meet every qualification listed. We're eager to meet people from all backgrounds, and your unique skills and experiences could be exactly what we need.

If you believe in our mission but this isn’t the right job for you, please explore other career opportunities on our website and email us at careers@swiftsolar.com with any questions. If you have a friend who would be a perfect fit, share this link with them. Thanks!

Swift is an equal opportunity employer. We value an inclusive work environment and welcome team members of all backgrounds and perspectives.

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