Job Description
We are on a mission to define the autonomous landscape of 2026. Nexus Future Labs is seeking a visionary Lead Robotics Engineer to spearhead the development of next-generation neural networks for autonomous fleets. If you want to build the infrastructure that powers tomorrow's transportation, this is your opportunity to join a team of elite engineers pushing the boundaries of AI and robotics.
Why Join Us?
- Impact: Directly architect the algorithms that will define safety and efficiency standards.
- Equity: Competitive stake in the company’s rapid growth.
- Environment: State-of-the-art R&D facility in the heart of San Francisco.
Responsibilities
- Design, develop, and optimize deep learning models for real-time perception and decision-making.
- Lead a cross-functional team of data scientists and hardware engineers to deploy 2026-ready robotics platforms.
- Conduct rigorous testing and validation to ensure system robustness in unpredictable environments.
- Translate complex technical requirements into scalable, production-grade code.
- Stay ahead of industry trends in AI, computer vision, and edge computing.
Qualifications
- PhD or Master’s degree in Computer Science, Robotics, or a related STEM field.
- 5+ years of experience in machine learning, deep learning, or autonomous systems.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of sensor fusion (LiDAR, Radar, Camera).
- Demonstrated leadership experience in technical project management.