At Quilter, we are revolutionizing the field of electrical engineering by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). As a Senior or Staff ML Systems Engineer, you'll be at the forefront of our mission, working with a team of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC) to solve decades-old problems in the field.
No matter where you come from, we are united by a common vision for the future and a core set of values that we believe will get us there:
- Focus on the mission
- Build great things that help humans
- Demonstrate grit
- Pursue excellence
- Never stop learning
Quilter is a fully distributed team that expects high autonomy and ownership. We're looking for a Senior or Staff ML Systems Engineer to join our Placer Team and build the infrastructure that moves research from prototype to production reliably and efficiently.
The Placer is responsible for automated component placement on PCBs. This role focuses on the systems and infrastructure that support the full ML lifecycle: training pipelines, data generation and cleaning, experiment management, orchestration, serving, A/B testing, and CI/CD.
You'll be building the infrastructure that moves research from prototype to production reliably and efficiently. You'll also play a key role in systems design review and long-range architectural planning as the team scales.
This is a fully distributed team. We expect high autonomy and high ownership.
What You’ll Do:
- Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring.
- Own data pipelines including generation, cleaning, validation, and versioning.
- Build and improve experiment tracking, orchestration, and reproducibility tooling.
- Implement and maintain CI/CD pipelines and A/B testing infrastructure.
- Lead and formalize design review processes across the team.
- Identify architectural risks early and guide the team toward sustainable systems decisions.
What We’re Looking For:
- 7+ years of industry experience building and operating ML systems in production.
- Proven track record as a key player in the success of a production-grade ML system end-to-end.
- Deep familiarity with training pipelines, serving infrastructure, and experiment management.
- Strong software engineering fundamentals and systems design sensibility.
- Experience driving design reviews and improving engineering processes within a team.
- Comfort operating with high autonomy in ambiguous problem spaces.
- Experience with GPU-accelerated workloads and orchestration.
- Strong communication and collaboration skills.
Preferred:
- 7+ years of industry experience.
- Experience with ML workflows involving optimization, RL, or combinatorial problems.
- Experience building infrastructure for small, research-heavy teams.
What We Offer:
- Interesting and challenging work
- Competitive salary and equity benefits
- Health, dental, and vision insurance
- Regular team events and offsites (~4x / year)
- Unlimited paid time off
- Paid parental leave
At Quilter, we are an equal opportunity employer. We are focused on hiring primarily within the US, with occasional exceptions to accommodate exceptional talent.
Learn more about Quilter, our vision, and our investors by visiting our About page and our Blog.
