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Information Technology 🏢 Full Time ⭐️ Verified

Lead Future Mobility Engineer

2026 Systems
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to engineer the future of transportation? 2026 Systems is at the forefront of autonomous mobility and sustainable transit. We are seeking a visionary Lead Future Mobility Engineer to architect the next generation of intelligent transport networks.


In this pivotal role, you will lead a cross-functional team of data scientists and hardware engineers to deploy cutting-edge AI solutions that redefine how people move. If you are passionate about solving complex engineering challenges and want to leave a lasting impact on the global infrastructure, we want to meet you.


Why Join 2026 Systems?

  • Competitive compensation and equity package.
  • Work with state-of-the-art autonomous driving stacks.
  • Flexible remote-first culture with quarterly team retreats.
  • Opportunity to shape industry standards.

Responsibilities

  • Architect and implement scalable software systems for autonomous vehicle navigation and sensor fusion.
  • Lead the design and optimization of machine learning models for real-time decision-making in dynamic environments.
  • Collaborate with hardware engineering teams to integrate V2X (Vehicle-to-Everything) communication protocols.
  • Mentor and develop a high-performing engineering team, fostering a culture of innovation and technical excellence.
  • Conduct code reviews, architecture planning sessions, and technical debt assessments.
  • Drive the full software development lifecycle from concept to deployment in production environments.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership or senior engineering role.
  • Deep expertise in C++, Python, and relevant ML frameworks (TensorFlow, PyTorch).
  • Proven experience with autonomous driving architectures, SLAM, or robotics simulation tools (ROS, Gazebo).
  • Strong understanding of cloud infrastructure (AWS, Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Autonomous Vehicles Python C++ Machine Learning ROS Kubernetes AWS SLAM System Architecture

Ready to Take This Challenge?

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