Feeny
Maincode

Software Engineer at Maincode (Seattle, WA)

Maincode· Seattle, WA· $130k–$175k·

Role details

Salary
$130k–$175k
Work type
Onsite
Employment
Full-Time

Job description

Maincode · Seattle, WA · On-site

Engineers wanted for hard work on real problems. Small team, flat hierarchy, high agency, real work. Full ownership over what you build.

Maincode is building Matilda, Australian-made AI. Most of the team is in Melbourne, but we are building out an office in Seattle.

The work.

Matilda is up and running: app, web, CLI, and desktop - all deployed in production and serving on our own cluster. What we need now is engineering. New features, better products, sharper agents and tooling. These are the layers where value is really engineered. Seattle works the layer above the models. The team is around a dozen people, so nothing here is a ticket queue. You see what matters, you build it, and it is in production that week.

You.

The bar is high. We want exceptional engineers who build because they cannot help it, who move without being told to, and who would rather be handed a problem than a spec. No process theatre, no politics, just engineering.

Benefits.

$110,000 to $175,000 USD. Health, dental and vision covered, 401(k), paid leave. Real work, no bullshit.

Process.

  1. Apply below.
  2. A 20-minute intro call. We learn about you, you learn about Maincode.
  3. Technical assignment + review interview.
  4. We will be in Seattle in September, and we will fly the strongest applicants to meet with us in person.
  5. Same-day decision.

Highly selective and intentional at each stage.

US work authorization required.

Why work at Maincode

  • Culture: “Small team doing hard things.” High ownership, move fast, ship without permission. Values: ownership, gradient (fast learning), range, speed, taste, humility. No ego, mission‑first.
  • Work environment: On‑site in Melbourne, Australia (some hybrid/remote possible with visits). Emphasis on craft and shipping.
  • Research perks: For researchers – paid residency, ability to publish at top venues (NeurIPS, etc.), access to dedicated GPU cluster, direct line to production.
  • Engineering focus: Modern tech stack (Python, PyTorch, CUDA, Kubernetes, Terraform, GCP); engineers work on inference infrastructure, model training, safety evals, and product features.
  • Growth opportunity: From 17 people to planned expansion; early employees can shape the direction of the product and research agenda.

Application questions