Job Description
Are you ready to define the technological landscape of tomorrow? Nexus Future Systems is seeking a visionary Senior AI & Robotics Engineer to join our elite R&D division in San Francisco.
We are building the next generation of autonomous systems and sentient algorithms. In this pivotal role, you won't just maintain existing code; you will architect the frameworks that power our 2026 roadmap. If you are passionate about the intersection of machine learning, neural networks, and physical robotics, we want to hear from you.
Why Join Us?
- Work on projects that define the future of human-machine interaction.
- Competitive equity package and top-tier health benefits.
- Flexible remote-first culture with a premium office in downtown SF.
Join us in shaping the future.
Responsibilities
- Design, develop, and deploy advanced machine learning models for autonomous navigation and decision-making systems.
- Lead architectural reviews for robotics hardware integration, ensuring real-time processing efficiency.
- Collaborate with cross-functional teams including hardware engineers and product managers to translate theoretical research into production-ready solutions.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Optimize neural networks for edge computing environments on mobile and robotic platforms.
- Stay at the forefront of AI trends, researching and implementing cutting-edge techniques like generative adversarial networks (GANs) and reinforcement learning.
Qualifications
- Master’s or Ph.D. in Computer Science, Robotics, or a related field.
- Minimum of 5 years of professional experience in AI/ML, specifically with Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong proficiency in C++ for high-performance embedded systems programming.
- Proven track record of shipping complex software products to market.
- Experience with sensor fusion, SLAM, and computer vision technologies.
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.