deployed_

Applied Scientist

Quilter - Remote - US

Still listed by Quilter · checked today · posted 29 Sep 2025 (1 year ago)Open 12+ months

RemoteFull-timeEngineeringUSD 180K - 200K / year

Skills: Python, APIs, Machine learning, Distributed systems, Automation, C++, AI, Algorithms, C, Data structures, Agents, Mentoring, Routing, Cuda

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

Quilter is seeking Senior to Staff C++ Engineers to join our engineering teams developing the next generation of automated PCB design. You’ll design high-performance C++ algorithms, data structures, and systems that tackle some of the hardest challenges in computational geometry, optimization, high-performance computing, and physics simulation. As a senior engineer, you’ll shape the technical roadmap, mentor peers, and help build the foundation for superhuman PCB design.

You may contribute to one of several specialized teams:

  • Core Router Team: Build the algorithms and data structures that fundamentally define how circuit boards are routed, creating scalable, physics-aware routing engines.

  • Homotopy Team: Refine raw routing outputs into high-quality, manufacturable layouts using geometric transformations that enforce real-world PCB design rules.

  • Router Agent Team: Develop the infrastructure, parallelization, and APIs that power reinforcement learning agents and routing algorithms at massive compute scale.

  • Physics Team: Implement geometry checks and physics simulations—electromagnetic, thermal, and manufacturing—to validate routed boards for real-world performance.

WHAT YOU’LL DO

  • Architect and implement high-performance C++ libraries, algorithms, and systems for routing, optimization, and simulation.

  • Design scalable data structures and computational methods to handle complex PCB design challenges.

  • Strong collaboration skills and the ability to work with domain experts across different disciplines.

  • Provide mentorship, technical reviews, and guidance to elevate the team’s engineering practices.

WHAT WE’RE LOOKING FOR

  • 3-10+ years of industry experience maintaining and extending large, high-performance C++ codebases in collaborative environments.

  • A strong academic background with deep expertise in one or more of the following areas: computational geometry, graph algorithms, optimization, high-performance computing (HPC), meshing, numerical methods, physics simulations, or related fields.

  • Proficiency in Python for prototyping and integration with ML systems.

  • Experience architecting and scaling large, collaborative C++ codebases.

  • Strong mathematical and algorithmic intuition, with ability to translate theory into production systems.

  • Leadership skills in mentoring, reviewing, and guiding engineering direction.

  • A passion for pushing the boundaries of what's possible in automated circuit design.

NICE TO HAVE (GENERAL)

  • Advanced degree (M.Sc. or Ph.D.) in computer science, computational physics, robotics, or related fields.

  • Experience with reinforcement learning, CAD/EDA tools, or physics-based optimization.

  • Exposure to GPU programming (CUDA), parallel/distributed algorithms, or HPC frameworks.

  • Contributions to open-source geometry, simulation, or HPC projects.

NICE TO HAVE (PER TEAM)

  • Core Router Team: Expertise in graph theory, computational geometry, operations research, optimization, numerical analysis, or simulation.

  • Homotopy Team: Background in geometric constraints, optimization methods, or mesh refinement.

  • Router Agent Team: Expertise with parallel programming, distributed systems, HPC frameworks, or API design.

  • Physics Team: Knowledge of simulations, physics engines, finite element methods (FEM), high-performance compute, or distributed compute.

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 http://quilter.ai/about page and visit our Blog https://quilter.ai/blog.

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