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Lead Autonomous Systems Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the future of mobility? Nexus Future Systems is seeking a visionary Lead Autonomous Systems Architect to spearhead the technical roadmap for our upcoming fleet, targeting full Level 5 autonomy by 2026.

In this high-impact role, you will be at the intersection of artificial intelligence, robotics, and hardware integration. You will lead a world-class engineering team in designing scalable, safe, and efficient perception, planning, and control systems. If you thrive in a fast-paced, innovative environment and want to build the vehicles of tomorrow, we want to hear from you.

Why Join Us?

  • Work on cutting-edge autonomous vehicle technology with a clear 2026 vision.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with access to premium on-site amenities.
  • Opportunity to mentor the next generation of engineering talent.

Responsibilities

  • Architect and maintain the end-to-end software stack for autonomous navigation, focusing on the 2026 production timeline.
  • Define technical milestones, drive architecture decisions, and ensure system scalability and safety compliance.
  • Collaborate with cross-functional teams (hardware, safety, product) to integrate sensor suites and AI models.
  • Lead architecture reviews and foster a culture of technical excellence and innovation.
  • Develop strategies for data pipeline optimization and real-time processing.
  • Stay ahead of industry trends in AI, robotics, and edge computing.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in autonomous systems, robotics, or AI.
  • Proven track record of leading high-performance engineering teams and managing large-scale projects.
  • Deep expertise in C++, Python, ROS (Robot Operating System), and modern AI frameworks.
  • Strong understanding of sensor fusion, SLAM, and path planning algorithms.
  • Demonstrated ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Python C++ ROS Autonomous Vehicles AI Machine Learning Sensor Fusion System Architecture Kubernetes AWS Agile Methodologies

Ready to Take This Challenge?

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