About this role.
Quilter is hiring a Senior/Staff Software Engineer specializing in C++ to build high-performance systems for automated PCB design. The role spans computational geometry, graph algorithms, optimization, physics simulation, and high-performance computing across routing, simulation, and reinforcement-learning infrastructure teams. The engineer will architect scalable production libraries and data structures, translate mathematical concepts into robust systems, and mentor peers. This US-remote position is suited to an experienced systems engineer with strong C++, Python, algorithmic, and cross-disciplinary collaboration skills.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would explain the workload, latency or throughput targets, memory constraints, and concurrency model, then describe the architecture and key trade-offs. A strong answer should include profiling evidence, benchmark results, testing strategy, and measurable improvements such as reduced runtime, memory use, or operational failures.
I would model the board, obstacles, layers, nets, and design rules using spatially efficient representations, then select an appropriate graph-search or optimization strategy. I would separate routing, constraint validation, and cost evaluation so the system can evolve, and would validate results with deterministic tests, representative boards, and performance benchmarks.
I would start by clarifying the mathematical assumptions and expected complexity, build a small reference implementation, and compare it against known cases or an oracle. I would then optimize incrementally, add numerical robustness and observability, document trade-offs, and ensure the final implementation is maintainable by the wider engineering team.
I would first profile to identify the true bottleneck and choose a decomposition that minimizes synchronization and data movement. Depending on the workload, I would use data-parallel execution, cache-friendly data layouts, task scheduling, batching, and careful partitioning; GPU or distributed execution would be introduced only where the computation-to-transfer ratio supports it.
I set clear technical decisions through concise design documents, pair with engineers on difficult problems, and use code reviews to explain principles rather than only request changes. I also delegate meaningful ownership, establish quality standards and milestones, and reserve focused time for critical implementation work so mentoring strengthens rather than delays delivery.
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:
Focus on the mission
Build great things that help humans
Demonstrate grit
Never stop learning
Pursue excellence
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 page and visit our Blog.
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