Job Description
We are defining the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary AI & Robotics Engineer to join our elite Project 2026 team. In this high-impact role, you will engineer the next generation of autonomous agents, merging deep learning algorithms with advanced robotics to solve complex, real-world challenges.
As a key contributor to our R&D division, you will have the autonomy to prototype cutting-edge solutions, optimize neural architectures, and lead the integration of computer vision systems. If you are passionate about the future of intelligent machines and want to build the technology that will define the era of 2026, we want to hear from you.
Why Join Us?
- Work on mission-critical projects with global impact.
- Competitive equity package and top-tier compensation.
- Access to state-of-the-art hardware and cloud infrastructure.
- Flexible remote-first culture with premium San Francisco office amenities.
Responsibilities
- Design and implement scalable deep learning models for autonomous navigation and decision-making in robotics.
- Collaborate with hardware engineers to optimize real-time data processing on edge devices.
- Conduct rigorous testing and validation of AI systems in simulated and physical environments.
- Research and prototype novel algorithms to improve the efficiency and accuracy of robotic tasks.
- Mentor junior engineers and contribute to technical documentation and white papers.
- Stay abreast of the latest advancements in AI, NLP, and robotics to drive innovation within the Project 2026 roadmap.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- Minimum of 5 years of professional experience in AI/ML or robotics development.
- Proficiency in programming languages such as Python, C++, and CUDA.
- Strong experience with deep learning frameworks (TensorFlow, PyTorch, JAX) and computer vision libraries (OpenCV).
- Familiarity with robotics middleware (ROS/ROS2) and simulation tools (Gazebo, Isaac Sim).
- Demonstrated ability to solve complex algorithmic problems and optimize system performance.