Developer Platform Engineer, Agentic (Mid/Senior/Principal)

Role Overview

As a Developer Platform Engineer, you will build the layer that lets AI coding agents do real work on our simulators. We have a full simulation ecosystem built on one shared hardware model, and demand on it is growing in every direction at once: more chip programs, new model architectures, larger deployment topologies, and customers who want modeling tooling.

We cannot scale by adding people alone. You will work with every engineer on the team to make routine simulator work, such as adding commands, running experiments, and bringing up new models, something an agent can do end to end, with evidence.

The work is platform engineering with a verification mindset: the interfaces agents call, the workflows they follow, and the guardrails that keep agent-written changes trustworthy. Our test lead continues to own testing practice; you will build the agent layer on top of it.

Key Responsibilities

Agent Interfaces

Design and build the MCP servers and APIs that let AI coding agents drive our simulators end to end, so that running a simulation, reading a trace, and comparing against a reference all happen from one call.

Make the simulators legible to agents and people alike through clear CLI and API design, structured outputs, reproducible runs, and useful error messages.

Agent Workflows

Build agent workflows for simulator development in which an agent implements or extends a hardware command's functional, dependency, cost, and cycle models and lands it with test evidence.

Partner with the model architecture engineer to automate new-model bring-up from model specification to simulator coverage.

Guardrails and Measurement

Build CI guardrails for agent-produced changes, including golden-reference generation, static analysis, known-good comparisons, and provenance on every result.

Measure what agents get right and wrong, and feed those findings back into the tooling.

Required Qualifications

4+ years of experience in developer tooling, developer platforms, or infrastructure engineering.

Demonstrated experience building tooling that LLM coding agents use in production, such as MCP servers or tool APIs, agent workflows in CI, evaluation harnesses, or agent-driven code generation with verification.

A strong understanding of CI/CD and test infrastructure, including flaky-test detection, golden-reference testing, and static analysis in CI.

Hands-on experience designing CLIs and APIs that are easy to use correctly and hard to use wrongly, with structured logging and reproducible builds.

Ability to design systems in which agent-produced changes carry evidence and cannot land unverified.

Strong Rust skills, or expert-level C/C++ skills and a willingness to work in Rust day to day, along with proficiency in Python for tooling.

Excellent communication skills, with the ability to explain to engineers what the agent layer can and cannot be trusted with, and why.

Preferred Qualifications

A background in simulation, compilers, or hardware.

Experience running evaluations of agent or model performance on engineering tasks.

Leveling & Scope

While this role is currently posted at a specific level, we are a growth-oriented organization and are open to hiring at a more senior level for the right candidate. Please note that this job description serves as a focused but generalized overview of the role; specific responsibilities and impact expectations will be tailored to the experience and seniority of the final hire.

Why Join Us?

You will define how AI coding agents do trustworthy engineering work on a real chip simulation stack, a problem few teams anywhere are tackling in production.

Your tooling will multiply the output of every engineer on the team as we scale across chip programs, model architectures, and customers.

Compensation & Benefits

The base salary range for this role is Mid: $160,000-$220,000, Senior: $220,000–$270,000, Principal: $270,000-$350,000.

Please note that the figures provided represent the base salary range only and do not include other elements of our total compensation package, equity, or comprehensive benefits.

At Positron AI, we value the unique expertise each candidate brings. While the range above reflects our typical expectation for the position, we reserve the flexibility to exceed this range for candidates whose specialized skills, significant experience, or unique qualifications fall outside the standard scope of the role.

Final offers are determined based on a variety of factors, including internal equity, and individual impact.

Benefits & Perks

We want you to do your best work and feel confident that you and your family are taken care of. That means comprehensive coverage, real time to rest, and support for your future.

Health and wellness

Fully company-paid medical, dental, and vision insurance for you and your dependents Company-paid life and disability coverage, with voluntary options to add more Supplemental hospital, critical illness, and accident coverage available Time off and flexibility Unlimited paid time off; we encourage everyone to truly unplug and recharge 13 paid company holidays Remote-first culture with a company-provided computer and home office setup

Compensation

and future Competitive salary and equity 401(k) with company matching, eligible from day one

Visa Support

This position is open to candidates currently authorized to work in the U.S. We cannot provide new visa sponsorship for this role but are open to facilitating H-1B visa transfers for eligible candidates.

Equal Opportunity Employer. If you're excited about the role but don't meet every bullet, we'd still love to hear from you.