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2026 Autonomous Vehicle Lead Engineer

Nexus Future Industries
San Francisco
Estimated Salary
USD 170.000 – USD 220.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the transportation systems of tomorrow? Nexus Future Industries is looking for a visionary 2026 Autonomous Vehicle Lead Engineer to lead our core autonomy software division. We are building the foundation for the next generation of intelligent mobility, and we need a technical expert who thrives in ambiguity and drives innovation.

In this role, you will be responsible for the end-to-end development of the 2026 autonomous driving stack, ensuring our vehicles are safer, smarter, and more efficient than ever before. You will work in a fast-paced, high-impact environment with top-tier talent from around the globe.

Join us and help define the future of mobility.

Responsibilities

  • Lead the architecture and implementation of the 2026 autonomous perception and decision-making pipeline using C++ and Python.
  • Develop and maintain high-fidelity simulation environments to validate vehicle behavior in complex, edge-case scenarios.
  • Collaborate closely with hardware teams to optimize sensor fusion algorithms for lidar, radar, and camera inputs.
  • Mentor junior engineers and conduct code reviews to maintain the highest standards of engineering excellence.
  • Drive the roadmap for safety and compliance, ensuring all systems meet rigorous industry standards.
  • Conduct deep-dive analysis of system logs and telemetry data to identify performance bottlenecks and areas for optimization.

Qualifications

  • Master’s degree or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Minimum of 7 years of experience in software engineering, specifically within autonomous systems or robotics.
  • Proficiency in C++ (advanced knowledge of memory management and multithreading) and Python.
  • Deep understanding of state estimation, SLAM, and sensor fusion techniques.
  • Experience with ROS (Robot Operating System) and containerization technologies (Docker/Kubernetes).
  • Strong problem-solving skills and the ability to work effectively in a cross-functional, agile environment.

Required Skills

Autonomous Driving C++ Python Machine Learning ROS System Architecture Simulation Sensor Fusion Lidar Radar

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