Job Description

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.

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