Job Description
We are looking for a visionary Autonomous Systems Architect to join our elite R&D division. As we prepare for the launch of our 2026 autonomous logistics fleet, you will be at the forefront of defining how machines think, learn, and interact with the physical world.
Our mission is to revolutionize urban mobility through cutting-edge Artificial Intelligence. If you are passionate about solving complex problems at the intersection of deep learning and hardware, this is your opportunity to shape the future.
Why join us?
- Work on next-generation AI that impacts millions.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options.
- Top-tier health and wellness benefits.
Responsibilities
- Architect and deploy scalable deep learning models for autonomous navigation and decision-making.
- Optimize real-time inference pipelines for edge computing devices to ensure low-latency performance.
- Collaborate closely with hardware engineers to integrate AI algorithms seamlessly into robotic hardware.
- Establish and enforce rigorous safety protocols and ethical guidelines for autonomous agents.
- Lead research initiatives exploring next-generation reinforcement learning and multi-agent systems.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- Master’s or PhD in Computer Science, Robotics, or a related technical field.
- 5+ years of experience in AI/ML engineering, with a strong focus on robotics or autonomous systems.
- Proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
- Extensive experience with sensor fusion technologies (LiDAR, Radar, and Computer Vision).
- Strong understanding of systems architecture, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Proven track record of shipping production-grade AI models.