Job Description
We are looking for a visionary Senior AI & Robotics Engineer to join our elite R&D team. At Nexus Future Labs, we are not just building for today; we are architecting the intelligent infrastructure for 2026 and beyond.
In this role, you will spearhead the development of next-generation autonomous agents and neural architectures. You will work at the intersection of deep learning and physical robotics, creating systems that redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the tech landscape, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that shape the future of industry.
- Competitive compensation package and equity options.
- Flexible remote-first culture with quarterly in-person innovation sprints.
Ready to define the future? Apply today.
Responsibilities
- Architect AI Solutions: Design and deploy scalable machine learning models and neural networks for autonomous robotics systems.
- Research & Development: Lead research initiatives into emerging paradigms such as embodied AI, LLMs, and reinforcement learning.
- System Optimization: Optimize model inference performance and reduce latency in high-stakes environments.
- Collaboration: Partner with hardware engineers to integrate software with robotic hardware stacks.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for the engineering team.
- Prototyping: Rapidly prototype and validate proof-of-concept solutions for 2026 product roadmaps.
Qualifications
- Education: Master’s or PhD in Computer Science, Robotics, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning and deep learning frameworks.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++ for performance-critical applications.
- Specialized Knowledge: Strong understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and computer vision.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in dynamic environments.