Senior Software Engineer

San Francisco, CA, US

8 days ago
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Summary

đŸč Company Overview:

At Arch, we’re on a mission to create a future where every home in the U.S. is powered sustainably. Our software drives electrification and high-efficiency technologies, helping accelerate society’s transition to clean energy. Backed by leading investors—including Coatue, Floodgate, Gigascale, ReGen, MCJ, and the founders of Aurora Solar—we’re now growing our engineering team and looking for a passionate, driven software engineer ready to shape the future.


🎒 Role Overview:

We're hiring a Software Engineer to join our tight-knit engineering team of four. In this high-impact and fast-paced role, you'll collaborate directly with our founders to build products at the cutting edge of technology and sustainability. This role requires in-person collaboration 3-4 days per week at our San Francisco office (WeWork or office on Union Square).

If you’re motivated by solving challenging problems, have a passion for elegant code, and want your work to have a meaningful impact, we'd love to hear from you.


🏃 What You'll Do:

  • Build and enhance core product features, from backend logic to intuitive user interfaces.
  • Own your work end-to-end, from concept through deployment.
  • Collaborate closely with our founders and engineering team to define and execute our technical roadmap.
  • Experiment and innovate with new technologies, particularly in AI/ML, to enhance our offerings.


📚 Qualifications:

Must-haves:

  • Startup Experience: 5+ years software engineering experience in a fast-paced startup environment.
  • Technical Stack: Proficiency in TypeScript (our stack includes Node.js, Next.js, PostgreSQL).
  • Engineering Excellence: A passion for crafting clean, elegant solutions to complex problems.
  • ML experience: Exposure to classic ML workflows (even through side projects): data cleaning, model training, and iteration.


Strong Bonuses:

  • Experience handling large-scale datasets—we deal with billions of records and focus heavily on query performance.
  • Familiarity with leading-edge AI productivity tools (Cursor, Windsurf, MCP, etc.).

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