Job Description
Be at the forefront of the next industrial revolution. Neural Horizon Labs is pioneering the Project 2026 initiative, a revolutionary leap in autonomous intelligence and physical mobility. We are seeking a visionary Lead Autonomous Systems Architect to define the technical backbone of our next-generation fleet.
In this role, you will not just write code; you will architect the future. You will lead a world-class team of engineers and researchers to develop scalable, safe, and efficient AI systems that integrate seamlessly with the physical world. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech landscape, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the trajectory of autonomous technology.
- Top-Tier Team: Collaborate with industry leaders in AI and robotics.
- Future-Proof: Work on cutting-edge technologies that define the 2026 landscape.
Responsibilities
- Design and implement scalable architecture for autonomous navigation and decision-making systems.
- Lead the research and development of novel machine learning models tailored for real-world physical environments.
- Collaborate with cross-functional teams including hardware engineers, safety analysts, and product managers.
- Ensure system reliability, safety, and compliance with industry standards and regulatory requirements.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Define technical roadmaps and make strategic decisions regarding technology stack and tooling.
Qualifications
- PhD or Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering, with at least 4 years in autonomous systems or robotics.
- Proven experience designing complex systems at scale, preferably in a high-stakes environment.
- Strong proficiency in Python, C++, and relevant frameworks such as ROS, TensorFlow, or PyTorch.
- Deep understanding of machine learning algorithms, sensor fusion, and SLAM technologies.
- Exceptional leadership skills with a track record of managing high-performing engineering teams.