MidFull TimeENNorth America
Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system that captures solar energy, stores it as heat, and generates electricity on demand. Founded in 2023 and backed by leading investors including Andreessen Horowitz, Sam Altman, and Felicis, we're committed to providing clean, modular, and scalable power that meets the rapidly growing demands of AI infrastructure. Our mission is to make sustainable renewable energy always available and almost free, enabling technological advancement while protecting our planet.
We're hiring a Software Engineer to own features end-to-end and ship code that solves real customer problems. You'll partner closely with product, design, and other engineers to turn ideas into working software, and lean heavily on AI tooling to move faster than a traditional engineering org of our size ever could.
This role is based at our headquarters in Miami, FL, but it could also be in our Austin, TX location. In either case, relocation is required, and relocation assistance will be provided.
Build and ship: Implement features with an eye toward scalability, performance, and maintainability
Ship fast, learn fast: Work in a rapid-iteration environment where prototypes and customer feedback shape what gets built next
Solve real problems: Partner with product, design, and occasionally customers to translate needs into practical solutions
Leverage AI fluently: Use AI coding assistants, agentic workflows, and LLM-based tools as a daily part of how you build — and contribute ideas for how the team can do more with them
Uphold quality: Practice solid code hygiene, testing, and documentation; help keep the bar high even as velocity increases
Contribute ideas: Share input on technical approaches, tooling choices, and how we evolve the platform — senior engineers own architectural decisions, but good ideas are welcome from anyone
Technical depth: Strong engineering fundamentals and real depth in your core areas
Product sense: You think about how your technical choices affect users and the business, not just the code
Ownership: You can take a feature from concept through deployment without heavy hand-holding
Collaborative instincts: You work well with product, design, and other engineers, and you give and take feedback well
Pragmatic problem-solving: You balance technical elegance with practical constraints and shipping on time
AI-enhanced workflow: You've already built AI assistants into your development loop — Copilot, Cursor, Claude Code, or similar — and you have opinions on where they help, where they don't, and how to keep quality high while using them
AI implementation experience: You've built production features that use LLMs, ML models, or agentic workflows, and understand the tradeoffs of choosing the right tool for a given problem
4+ years of software engineering experience
Strong proficiency in Python and/or modern JavaScript/TypeScript
Experience with cloud infrastructure (AWS, GCP, or Azure) and DevOps practices — we use AWS managed with CDK
Hands-on experience building features that integrate LLMs, ML models, or generative AI — choosing the right tool, implementing it in production, and managing its behavior over time
Experience designing and implementing APIs and data models
Experience with data processing and analytics systems
Comfort with agile development methodologies
Experience in aerospace, energy, manufacturing, or other hardware-integrated software environments
Exposure to IoT, time-series data, telemetry, or industrial control systems
Fullstack experience (frontend and backend)
Track record of adopting or deploying AI tooling inside a team (not just using it individually)
