C++ Software Engineer (Robotics)

TL;DR

C++ Software Engineer (Robotics): Developing decision-making logic and motion planning algorithms for autonomous vehicles with an accent on trajectory generation, pathfinding, and behavioral optimization. Focus on building high-performance, real-time code and collaborating across engineering teams to ensure safe vehicle navigation.

Location: Must be based in Austin, TX; onsite role with no remote options available.

Company

hirify.global develops core software and data systems for autonomous vehicle motion planning and decision-making.

What you will do

• Design, implement, and optimize motion planning algorithms using modern C++17/20.
• Develop robust solutions for trajectory generation, pathfinding, and behavioral decision-making.
• Analyze and debug system performance using simulation, logs, and vehicle testing data.
• Collaborate with Perception, Prediction, and Control teams to build reliable self-driving systems.
• Write clean, maintainable, and highly optimized production-quality code.
• Profile algorithms to meet strict real-time performance constraints.

Requirements

• Must be authorized to work in the U.S.
• Exceptional proficiency in modern C++ and object-oriented design.
• Strong foundational knowledge of algorithms and data structures relevant to robotics.
• Experience with software development tools including Git and CI/CD.
• Must be able to work onsite in Austin, TX.

Nice to have

• Success in competitive programming contests (ICPC, Google Code Jam).
• Professional or academic background in robotics motion planning.
• Experience with multithreading, memory optimization, and GPU programming (CUDA/OpenCL).
• Solid mathematical background in linear algebra and probability theory.
• Knowledge of machine learning techniques for planning or decision-making.

Culture & Benefits

• Work at the intersection of machine learning and large-scale data infrastructure.
• Collaborative environment spanning engineering, analytics, and product teams.
• Engagement with cutting-edge autonomous driving technology.