Sr Software Engineer, Motion Planning

Job Title: C++ Software Engineer, Motion Planning
Work Location: Austin, TX
Pay: $120,000 - $170,000
Job Type: Direct Hire

Company provides visa sponsorship

Job Overview

Leading autonomous mobility company seeks a C++ Software Engineer for the core Motion Planning team. The team develops software and data processing systems that power motion planning and decision-making in autonomous vehicles. Engineers work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control while collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities.

Key Responsibilities

• Design, implement, and optimize cutting-edge motion planning algorithms in modern C++ (C++17/20).

• Develop robust solutions for trajectory generation, pathfinding, and behavioral decision-making in dynamic environments.

• Analyze and debug system performance using simulation, log playback, and on-vehicle testing data.

• Collaborate closely with engineers from Perception, Prediction, and Control teams to build a cohesive and reliable self-driving system.

• Write clean, maintainable, and optimized production-quality code.

• Profile and optimize algorithms to meet real-time performance constraints.

Requirements

• Demonstrate exceptional proficiency in modern C++ and deep understanding of object-oriented design principles.

• Possess strong foundational knowledge of algorithms and data structures relevant to robotics, such as graph search, computational geometry, and optimization techniques.

• Have experience with software development tools and practices, including Git, CI/CD, and code reviews.

Preferred Qualifications

• Show proven success in competitive programming contests such as Google Code Jam, Hash Code, Topcoder Open, ICPC, or similar events.

• Hold professional or academic experience in robotics, specifically with motion planning.

• Possess experience with performance-critical software development, including multi-threading and memory optimization.

• Demonstrate knowledge of machine learning techniques like reinforcement learning and imitation learning applied to planning or decision-making problems.

• Have a solid mathematical background, including linear algebra and probability theory.

• Possess knowledge of GPU programming such as CUDA or OpenCL for accelerating algorithms.

Benefits

• Employer-subsidized healthcare (medical, dental, vision)

• Pre-tax commuter benefits

• Flexible Spending Account (FSA)

• Employer-covered disability and life insurance

• 401(k) retirement plan

• Generous PTO

• Covered lunches and more