Staff ML Systems Engineer

Role Summary

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.

Responsibilities

WHAT YOUʼLL 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

Requirements

WHAT WEʼRE 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
• Familiarity with ML workflows involving optimization, RL, or combinatorial problems
• Experience building infrastructure for small, research-heavy teams

Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.

Benefits

• 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

Want to learn more about Quilter, our vision, and our investors? Visit our About http://quilter.ai/about page and visit our Blog https://quilter.ai/blog.

About the Company

ABOUT QUILTER

At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.

No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:

1. Curiosity
2. Conviction
3. Rigor

We're looking for a Senior or Staff ML Systems Engineer to join Quilter's Placer Team and build the infrastructure that moves research from prototype to production reliably and efficiently.