Job Description
Are you ready to architect the future? Nexus Future Systems is seeking a visionary Lead AI & Robotics Engineer to define the technological landscape of 2026 and beyond. We are building autonomous systems that bridge the gap between advanced Artificial Intelligence and physical reality. This is not just a job; it's a mission to solve the most complex engineering challenges of the next decade.
In this role, you will spearhead the development of next-generation neural networks designed to operate in unstructured environments. You will work directly with our R&D division to prototype hardware-software integration for autonomous fleets and smart infrastructure. If you are passionate about pushing the boundaries of what is possible in 2026, we want to hear from you.
Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work with world-class talent. You will have the autonomy to shape our roadmap and the resources to execute your vision.
Responsibilities
- Architect Next-Gen AI Models: Design and implement robust machine learning algorithms tailored for real-time robotics applications, focusing on perception and decision-making.
- Hardware-Software Integration: Collaborate with hardware engineers to optimize neural networks for edge computing devices and embedded systems.
- Prototype Future Systems: Lead the development of autonomous pilot programs targeting deployment by the year 2026.
- Research & Development: Stay ahead of the curve on emerging technologies in quantum computing and neuromorphic engineering to enhance system performance.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Optimization: Analyze system bottlenecks and optimize code for speed, efficiency, and scalability in high-stakes environments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
- Experience: Minimum of 5+ years of experience in AI/ML, with at least 2 years in a leadership or senior engineering role.
- Technical Stack: Proficiency in Python, C++, TensorFlow, PyTorch, and ROS (Robot Operating System).
- Domain Knowledge: Deep understanding of reinforcement learning, computer vision, and sensor fusion.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.
- Communication: Excellent written and verbal communication skills, capable of presenting technical concepts to non-technical stakeholders.