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Autonomous Vehicle Systems Architect

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the Future of Mobility at FutureTech Innovations!

We're seeking a visionary Autonomous Vehicle Systems Architect to revolutionize transportation by 2026. Lead the design and integration of next-gen autonomous systems that redefine safety, efficiency, and sustainability. Join our pioneering team where cutting-edge technology meets real-world impact.

About Us: FutureTech Innovations is a leader in autonomous mobility solutions, developing AI-driven platforms that will transform urban transportation. Our mission is to create a safer, more connected world through intelligent engineering.

What You'll Achieve:

  • Architect end-to-end autonomous driving systems including perception, decision-making, and control modules
  • Drive the development of AI/ML algorithms for real-time navigation and obstacle avoidance
  • Collaborate with cross-functional teams to define system requirements and roadmaps
  • Ensure compliance with industry standards (SAE Level 4/5) and regulatory frameworks
  • Lead innovation in sensor fusion, V2X communication, and edge computing solutions

Why Join Us:

  • Competitive equity package and comprehensive benefits
  • Access to cutting-edge R&D facilities and test environments
  • Opportunity to shape industry standards for autonomous mobility
  • Flexible work arrangements and professional development stipends

Responsibilities

  • Design and implement scalable autonomous vehicle architectures
  • Develop hardware-in-loop simulation environments for system validation
  • Lead integration of LiDAR, radar, camera, and ultrasonic sensor systems
  • Optimize real-time decision-making algorithms for urban and highway scenarios
  • Establish robust cybersecurity frameworks for vehicle networks
  • Collaborate with regulators to shape autonomous vehicle policy
  • Mentor engineering teams on best practices for safety-critical systems

Qualifications

  • Bachelor's in Computer Science/Engineering; Master's or PhD preferred
  • 8+ years experience in autonomous systems or robotics
  • Expertise in C++, Python, ROS, and automotive-grade software (AUTOSAR)
  • Deep understanding of sensor fusion, SLAM, and path planning algorithms
  • Experience with Agile/Scrum development and CI/CD pipelines
  • Strong background in functional safety (ISO 26262) and cybersecurity (ISO/SAE 21434)
  • Proven track record of shipping production-level autonomous systems
  • Excellent communication skills with ability to present to technical and non-technical stakeholders

Required Skills

Autonomous Driving AI/ML Sensor Fusion C++ Python ROS AUTOSAR ISO 26262 Functional Safety LiDAR Radar Computer Vision

Ready to Take This Challenge?

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