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Information Technology 🏢 Full Time ⭐️ Verified

Autonomous Vehicle Systems Architect

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

Job Description

Join the forefront of mobility revolution at Nexus Innovations, where we're engineering the autonomous systems that will redefine transportation by 2026. As our Autonomous Vehicle Systems Architect, you'll lead the design and implementation of next-gen AI-driven navigation, safety protocols, and human-machine interfaces. Collaborate with cross-disciplinary teams to transform theoretical models into production-ready systems that will save lives and reshape urban landscapes. We offer competitive equity, flexible work arrangements, and the opportunity to shape the future of transportation.

Responsibilities

  • Design and validate scalable autonomous driving architectures using sensor fusion and machine learning frameworks
  • Develop fail-safe systems exceeding ISO 26262 ASIL-D safety standards for 2026 deployment
  • Lead integration of V2X communication protocols with edge computing infrastructure
  • Optimize real-time decision-making algorithms for complex urban environments
  • Collaborate with regulators to shape policy frameworks for autonomous vehicle certification
  • Mentor junior engineers in ethical AI development and responsible innovation practices

Qualifications

  • Master's degree in Computer Science, Robotics, or related field with 8+ years experience
  • Proven expertise in autonomous systems development (e.g., ROS, Apollo, Waymo stack)
  • Deep understanding of sensor fusion technologies (LiDAR, radar, computer vision)
  • Published research in autonomous navigation or reinforcement learning
  • Familiarity with ISO 21448 (SOTIF) and ASIL-D certification processes
  • Experience with edge computing architectures and 5G V2X protocols
  • Strong background in ethical AI frameworks and bias mitigation techniques

Required Skills

Autonomous Systems Machine Learning Sensor Fusion ROS ISO 26262 V2X Communication Edge Computing AI Ethics Reinforcement Learning

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