Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Developer Platform Engineer, Agentic (Mid/Senior/Principal)
- Location
- Remote
- Type
- Full time
- Posted
- 1H AGO
About the role
About Positron AI
Positron AI is building next-generation AI inference accelerators designed from the ground up for low-latency, high-throughput large language model inference. Chips built for the training era keep running into two walls at inference time: memory bandwidth and chip-to-chip networking. We designed our architecture to break through both. Our first-generation Atlas systems are already in production on Oracle Cloud Infrastructure. Asimov, our first custom ASIC, takes that architecture to silicon. In simulations, Asimov delivers several times more tokens per dollar and tokens per watt than leading GPUs, at a fraction of the power. Paired in our Titan system, Asimov is built to serve models beyond 16 trillion parameters. In September 2026, we raised $875 million at a $5 billion valuation. NEA led the round, joined by Atreides Management, Valor Equity Partners, and others, to bring Asimov and Titan to market. Our team includes engineers from Groq, Lambda, NVIDIA, Meta, F5, and many other industry leaders.
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.
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