Job Description
The Future is Calling. Are You Ready to Lead?
At Nexus Future Systems, we are not just building software; we are architecting the reality of 2026 and beyond. We are seeking a visionary Senior AI/Robotics Engineer to join our elite R&D division. In this role, you will be at the forefront of integrating Large Language Models (LLMs) with physical robotics, creating autonomous agents that can navigate, reason, and interact with the world.
If you are passionate about the intersection of artificial intelligence, machine learning, and hardware, and you want to define the standards of the future, we want to meet you.
Why Join Us?
- Work on cutting-edge technology that will shape the next decade.
- Competitive compensation and equity package.
- Flexible remote-first culture with top-tier equipment.
Responsibilities
- Architect Advanced AI Systems: Design, develop, and deploy scalable machine learning models and robotics control systems.
- Robotics Integration: Bridge the gap between high-level AI reasoning and low-level hardware control, ensuring seamless real-time performance.
- R&D Leadership: Spearhead research initiatives in reinforcement learning, computer vision, and natural language processing to solve complex, unstructured problems.
- Code Quality & Mentorship: Write clean, maintainable code and mentor junior engineers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, engineers, and designers to translate complex technical concepts into user-friendly solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Robotics, Artificial Intelligence, or a related field.
- Experience: 5+ years of professional experience in AI/ML, Robotics, or Systems Engineering.
- Technical Skills: Deep proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or ROS (Robot Operating System).
- AI Expertise: Strong understanding of LLMs, transformer architectures, and fine-tuning methodologies.
- Problem Solving: Demonstrated ability to debug complex, distributed systems and optimize performance under real-world constraints.
- Communication: Excellent verbal and written communication skills with the ability to present technical concepts to non-technical stakeholders.