We are seeking an experienced C++ Engineer to drive the development of foundational algorithms that will power the next generation of our client's automated PCB design system. As a Senior or Staff Software Engineer, you will play a pivotal role in architecting the core geometry, physics, and meshing engines that form the backbone of our cutting-edge technology. This is a greenfield opportunity to take ownership of solving highly complex and impactful technical challenges, shaping the future of our innovation roadmap. You will collaborate with a world-class team of ML/AI researchers and engineers to solve intricate routing problems using your expertise in computational geometry, path planning, and collision detection. Your high-performance C++ implementations will enable dynamic and manipulatable representations of circuit boards, empowering our reinforcement learning agents to explore and optimize these environments effectively. Requirements Key Responsibilities Algorithm Development: Design and implement high-performance representations of physical circuit boards for exploration and manipulation. Problem Solving: Apply advanced algorithms for path planning, collision detection, and geometric optimization to solve challenging PCB routing problems. Library Maintenance: Develop and maintain a high-performance geometry library that serves as a core component of our technology stack. Collaboration: Partner with the reinforcement learning team to design environments that support agent training and decision-making. Job Requirements Experience: 10+ years of experience working with and extending large, high-performance C++ codebases in collaborative environments. Demonstrated expertise in computational geometry (e.g., through publications, PhD theses, or industry projects). Technical Skills: Proficiency in C++ with a focus on high-performance and scalable code. Experience with Python for integration with machine learning systems. Strong background in designing and optimizing algorithms for meshing, simulation, or geometric computation. Education: A strong academic foundation, with a B.Sc, M.Sc, or Ph.D in meshing, simulation, physics, robotics, or related fields. Passion: A deep passion for pushing the boundaries of automated circuit design through advanced software solutions. Nice-to-Have Qualifications Prior experience working at a high-growth startup or tech company. Familiarity with reinforcement learning concepts and environments. A track record of delivering impactful solutions in fast-paced, collaborative settings. What We Offer The opportunity to work on greenfield projects with significant ownership and impact. A collaborative environment with a world-class team of engineers and researchers. Competitive salary and equity package. Flexible work arrangements and a strong emphasis on innovation.