Staff 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.
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:
- Curiosity
- Conviction
- 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.
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 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
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.
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
Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.
About Quilter
Quilter operates a mission-fueled team of experts in AI and electronics.