Job Description
We are 2026 Labs, a visionary force in the future of autonomous mobility and spatial computing. We are seeking a visionary Lead Autonomous Systems Architect to design the neural architectures that will define the next decade of transportation. You will be at the forefront of integrating deep learning with real-time hardware constraints.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, high-stakes deployment in dynamic environments. Join a team of world-class engineers dedicated to solving the most complex challenges in perception, prediction, and control.
Responsibilities
- Architect Scalable Systems: Design and implement robust, real-time computer vision and sensor fusion pipelines for autonomous vehicles and drones.
- Model Optimization: Reduce computational latency and power consumption of deep learning models to meet edge-device requirements.
- R&D Leadership: Spearhead research initiatives in 3D perception, semantic mapping, and sensor calibration.
- Cross-Functional Collaboration: Work closely with hardware engineers to optimize sensor payloads and integrate AI models into the vehicle's control loop.
- Code Review & Mentorship: Establish coding standards and mentor junior engineers and data scientists to ensure best practices in software engineering.
- Performance Tuning: Continuously monitor system performance in simulation and real-world test drives to improve safety and efficiency metrics.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with a focus on AI.
- Experience: 8+ years of experience in machine learning, computer vision, or autonomous systems development.
- Technical Skills: Proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
- Specialized Knowledge: Strong understanding of sensor fusion algorithms (Lidar, Radar, Camera) and SLAM (Simultaneous Localization and Mapping).
- Problem Solving: Demonstrated ability to debug complex, distributed systems and optimize algorithms for edge deployment.
- Communication: Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.