Senior ML Systems Engineer

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.

The Role

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

• 5+ 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.

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

Compensation Range: $180K - $200K