Systems Engineer, Experiments & Integration (Mid/Senior/Principal)

Posted 5 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
160K-350K Annually
Senior level
Hardware • Information Technology • Software
The Role
Own rapid-response experiments and integration across AI hardware, software, and customer teams. Run LLM inference workloads on simulators and hardware emulators, profile performance, analyze counters and traces, and explain bottlenecks. Support host-side runtime and driver integration, then convert investigations into reusable models, scripts, experiments, and regression tests. The role requires strong systems programming, hardware proximity, Linux proficiency, and the ability to deliver repeatable results from loosely defined requests.
Summary Generated by Built In

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 Systems Engineer on our Experiments & Integration team, you will be the engineer who answers the urgent questions. Hardware, software, and customer teams bring the simulation team a steady stream of unplanned requests: run this model on the emulator, measure that bottleneck, help this team integrate. You will work across all of those teams, on both simulation and hardware emulation, to turn each request into a fast, measured answer.

The work is varied and hands-on: standing up a new model on the emulator, profiling where time goes, or trying a configuration a stakeholder wants to see. You will own this queue so the engineers building the roadmap can stay focused on it, and you will leave each investigation behind as a reusable model, test, or script.

Key Responsibilities

Rapid Response and Experiments

  • Serve as the first responder for simulation and emulation requests from hardware, software, and customer teams, partnering with the existing experiments and integration engineers so urgent asks get answered while roadmap work stays protected.
  • Run quick experiments and demos, such as getting a new LLM running on the emulator, profiling where time goes, or trying a configuration a stakeholder wants to see.

Performance Measurement

  • Measure and explain performance using counters, traces, and end-to-end timing, reported along with their limits and their drivers.

Integration and Reusable Assets

  • Help other teams build on the simulators and the emulation setup when they need integration support.
  • Convert each investigation into a reusable asset, such as a calibrated model, a repeatable experiment, or a regression test.
Required Qualifications
  • 4+ years of experience as a hands-on systems or performance engineer.
  • Demonstrated experience running LLM inference workloads end to end and finding where time goes, including weight loading, memory bandwidth, and host-device synchronization.
  • A strong understanding of performance measurement, including counters, execution traces, profiling, and reporting results with their limits.
  • Hands-on experience with host-side driver and runtime code, and comfort working close to hardware.
  • Ability to move fast on loosely specified requests, make assumptions explicit, and finish by making the result repeatable.
  • Strong Rust skills, or expert-level C/C++ skills and a willingness to work in Rust day to day, along with proficiency in Python and fluency with Linux, shell scripting, containers, and CI.
  • Excellent communication skills, with the ability to give stakeholders a direct answer, what it rests on, and what to do next.
Preferred Qualifications
  • Experience with hardware emulators such as Cadence Palladium or Synopsys ZeBu, or with FPGA boards.
  • A track record of bringing up new workloads on early or unstable hardware.
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 see the whole stack, from emulated silicon to customer models, and be the person teams across the company rely on for fast, trustworthy answers.
  • Every investigation you run becomes lasting infrastructure that makes the next answer faster for everyone.
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.


Skills Required

  • 4+ years of experience as a hands-on systems or performance engineer
  • Experience running LLM inference workloads end to end and analyzing weight loading, memory bandwidth, and host-device synchronization
  • Strong understanding of performance measurement, including counters, execution traces, profiling, and reporting results with limitations
  • Hands-on experience with host-side driver and runtime code, with comfort working close to hardware
  • Ability to work quickly on loosely specified requests, make assumptions explicit, and produce repeatable results
  • Strong Rust skills, or expert-level C/C++ skills with willingness to work in Rust
  • Proficiency with Python, Linux, shell scripting, containers, and CI
  • Excellent communication skills and ability to provide direct answers, supporting rationale, and next steps
  • Experience with hardware emulators such as Cadence Palladium or Synopsys ZeBu, or FPGA boards
  • Experience bringing up new workloads on early or unstable hardware
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The Company
HQ: Montréal
42 Employees
Year Founded: 2023

What We Do

Positron delivers vendor freedom and faster inference for both enterprises and research teams, by allowing them to use hardware and software explicitly designed from the ground up for generative and large language models (LLMs). Through lower power usage and drastically lower total cost of ownership (TCO), Positron enables you to run popular open source LLMs to serve multiple users at high token rates and long context lengths. Positron is also designing its own ASIC to expand from inference and fine tuning to also support training and other parallel compute workloads.

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