Job Description
Are you ready to architect the intelligent systems that will define the 2026 landscape? Nexus Future Labs is seeking a visionary Senior AI & Robotics Engineer to join our elite R&D division. We are building the next generation of autonomous agents and humanoid robotics designed to seamlessly integrate into the digital and physical world.
In this role, you will bridge the gap between theoretical AI breakthroughs and tangible robotic applications. You will work in a high-performance environment focused on ethical AI, scalable neural architectures, and real-time decision-making systems.
Why Join Us?
- Work on cutting-edge projects that are shaping the future of automation.
- Competitive compensation package including equity options.
- Flexible work environment with a focus on innovation and autonomy.
Responsibilities
- Lead AI Architecture: Design, develop, and deploy advanced machine learning models, specifically focusing on Large Language Models (LLMs) and reinforcement learning for autonomous agents.
- Hardware Integration: Collaborate with hardware engineering teams to integrate neural networks directly into robotic control systems for real-time perception and action.
- Model Optimization: Optimize AI models for edge computing environments and low-latency applications essential for 2026 mobile robotics standards.
- Research & Development: Conduct cutting-edge research to push the boundaries of computer vision and natural language processing.
- Code Quality: Establish and maintain best practices for code review, testing, and CI/CD pipelines.
Qualifications
- Education: Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Technical Skills: Proficiency in Python, PyTorch or TensorFlow, C++, and CUDA programming.
- Domain Knowledge: Deep understanding of LLMs, transformers, and classical robotics principles.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to diverse stakeholders.