C++ Software Engineer – Motion Planning

🏢 Avride · 📍 Austin, Texas
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Position Summary & Responsibilities

About the team

Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities.

About the role

We are seeking a highly skilled C++ Software Engineer to join our core Motion Planning team. You will be at the forefront of developing the decision-making logic that enables our autonomous vehicles to navigate the complexities of the real world safely and efficiently. If you have a passion for solving hard algorithmic problems and writing high-performance code, this is the perfect opportunity for you.

What you'll do

  • 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

What you'll need

  • Exceptional proficiency in modern C++ and a deep understanding of object-oriented design principles
  • Strong foundational knowledge of algorithms and data structures, particularly those relevant to robotics (e.g., graph search, computational geometry, optimization techniques)
  • Experience with software development tools and practices, including Git, CI/CD, and code reviews

Nice to have

  • Proven success in competitive programming contests such as Google Code Jam, Hash Code, Topcoder Open, ICPC, or similar events
  • Professional or academic experience in robotics, specifically with motion planning
  • Experience with performance-critical software development, including multi-threading and memory optimization
  • Knowledge of machine learning techniques (e.g., reinforcement learning, imita
🎯 Candidate Preparation Guide For Avride Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Focuses on safety-critical robotics engineering, edge-case autonomous driving resilience, and rigorous simulation-to-reality validation.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Hand-waving safety edge cases or underestimating real-world deployment hazards.
  • 2. Over-reliance on idealized simulation environments without real-world hardware validation.
  • 3. Poor cross-functional collaboration between perception, planning, and infrastructure teams.
✨ Recommended Role Alignment Hook:

I build bulletproof perception and motion planning pipelines that safely navigate autonomous vehicles through chaotic urban realities.

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