Infrastructure Engineer, AI Tooling

What MatX is Building

MatX's mission is to make the world’s best AI models run as efficiently as allowed by physics, bringing the world years ahead in AI quality and availability. We build custom silicon for training and running the world's largest AI models, with hardware/software co-design across ISA, RTL, simulator, compiler, and kernels. The AI tooling team sits across that whole stack and owns the agent harnesses and shared workflows that turn general-purpose coding agents into ones maximally useful on each layer.

About the position

Every engineering team using coding agents sits somewhere between watching every command and waking up to agent-written PRs waiting for review. What moves teams along this trust curve is how far engineers can trust their agents' judgment. An agent's judgment is only as good as its context and its ability to verify its work. However, context can be spread all over (think repos, design docs, Slack threads);

the builds and simulations an agent needs to check its work may only be available on machines it can’t reach. You'd build infrastructure to address these gaps, at a company small enough your work reaches every engineer.

What You'll Do Here:

Make agents legible, first-class users of our infrastructure. Each one gets an identity of its own, reaches exactly what its task needs and nothing else, and leaves a trail a person can later audit.

Build environments for our agents to run in, e.g. short-lived VMs that exist for one task and no-egress sandboxes for long runs.

Build our company agent knowledge base, the context agents start tasks with and the place they go to get more. Pull together information spread across our monorepo, design docs, and Slack and structure it for agent consumption.

Who You Are :

Have run production infrastructure somewhere dynamic and know which shortcuts you’ll regret.

Use coding agents heavily and have strong opinions on what you let them do, what you don't, and how you verify their work.

Built engineering workflows (methodology, flow automation, review tooling, agent harnesses) that other engineers adopted and kept.

Notice LLM agents asserting something confidently wrong and modify their harness in response.

Bonus Points If You Have:

Have operated Bazel remote execution or a remote cache.

Are familiar with sandboxing and ephemeral compute for untrusted workloads.

Compensation The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.

Early Career - $160,000 - $275,000 + equity

Mid Career - $175,000 - $450,000 + equity

Senior Career - $275,000 - $600,000 + equity

What We Offer Time off: 4 weeks PTO (accrued) + 12 company Holidays + up to 3 weeks remote work Health:
Company-subsidized Medical (Kaiser or Anthem) for employees & dependents, Guardian Dental and Vision insurances for employee & dependents, and life insurance (employee only), plus HSA and FSA offerings via Lively. Financial Security:
Choose from Roth or pre-tax 401K (or both) with a 5% company contribution (even if you don't contribute), 100% company-paid life insurance (up to $300K), long-term disability and travel insurance.

Professional Development: $1500 per year Professional Development Budget Team Meals:
MatX provides onsite team lunch & dinner Monday - Friday, with your choice of ordering via WeBox, Specialty’s or via our reimbursement system

Commute on Us:
We pay 100% for your daily commute. Commute via our company rideshare account, reimburse public transportation, or get a Fasttrak card (or all three)
MatX E[x]tras: $50/mo to use on the perk you value most

Cell & Internet Reimbursement: $35/mo for…