Software Engineer, Computational Geometry (Autonomy)

We are looking for a Software Engineer with deep expertise in computational geometry to join our core algorithms team. In this role, you’ll design and implement the geometric foundations that power mission-critical systems across our stack. You’ll be building a high-performance geometry library that is robust, mathematically rigorous, and optimized for modern hardware, enabling advanced applications in autonomy, simulation, and beyond.

What you’ll do:

• Build the core library: Design, implement, and maintain a library of computational geometry algorithms in modern C++.
• Develop primitives: Create and optimize fundamental operations, such as distances, intersections, projections, polygon operations, and convex hulls, for complex geometries.
• Maximize performance: Profile and optimize code for CPU architectures (especially x86), leveraging cache-efficient data layouts, and instruction-level parallelism.
• Ensure reliability: Establish a testing framework to guarantee numerical stability, robustness, and correctness at scale.
• Enable visibility: Develop tools for visualizing, debugging, and validating geometric computations.
• Collaborate & integrate: Partner with other engineering teams to design clean APIs and integrate the geometry library into larger systems.
• Innovate: Research and apply state-of-the-art methods from academia and industry to tackle novel geometric challenges.

What you’ll bring:

• Strong background in computational geometry, linear algebra, and applied mathematics (MS, PhD, or equivalent experience).
• Expert-level modern C++ skills with a track record of production-quality, high-performance libraries.
• Deep grasp of CPU/GPU architecture, cache/memory layouts, SIMD, and parallel algorithms.
• A rigorous, test-driven mindset with high standards for software quality and mathematical correctness.
• Excellent collaboration and communication skills, able to work across teams and explain complex ideas clearly.
• Hands-on, proactive approach to problem-solving and performance tuning.

Bonus Points:

• GPU programming experience with CUDA or OpenCL.
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