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Information Technology 🏢 Full Time ⭐️ Verified

Autonomous Vehicle Systems Engineer

Nexus Mobility
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Mobility's pioneering team at the forefront of transportation evolution. We're seeking a visionary Autonomous Vehicle Systems Engineer to architect and deploy next-gen self-driving technologies that will redefine mobility by 2026. Collaborate with world-class researchers, engineers, and designers to solve complex challenges in perception, decision-making, and vehicle control. Your work will directly impact the future of autonomous transportation, making roads safer and cities more connected.

At Nexus Mobility, we foster a culture of innovation and continuous learning. You'll have access to cutting-edge resources, mentorship from industry leaders, and the opportunity to shape the future of transportation. We offer competitive compensation, comprehensive benefits, and a flexible work environment designed to empower your creativity and technical excellence.

Responsibilities

  • Design and implement robust perception systems using LiDAR, radar, and camera fusion for autonomous navigation
  • Develop real-time decision-making algorithms for complex urban and highway driving scenarios
  • Optimize vehicle control systems for safety, efficiency, and passenger comfort
  • Collaborate with cross-functional teams to integrate hardware and software solutions
  • Conduct rigorous testing and validation in simulated and real-world environments
  • Document technical specifications and contribute to patent filings for novel innovations
  • Mentor junior engineers and stay current with emerging AV research and industry standards

Qualifications

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field
  • 5+ years of experience in autonomous systems, robotics, or embedded systems
  • Proficiency in C++, Python, and ROS (Robot Operating System)
  • Strong understanding of machine learning, computer vision, and sensor fusion principles
  • Experience with real-time operating systems and low-level programming
  • Proven track record of deploying complex safety-critical systems
  • Familiarity with automotive safety standards (ISO 26262, ASIL)
  • Excellent problem-solving skills and ability to thrive in fast-paced environments

Required Skills

Machine Learning Computer Vision ROS C++ Python Sensor Fusion Real-time Systems Autonomous Vehicles Robotics Embedded Systems

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