Job Description
We are at the forefront of defining the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI & Robotics Architect to lead our research into autonomous systems, generative AI, and human-machine interaction. In this role, you won't just be implementing existing solutions; you will architect the core infrastructure that powers the next generation of intelligent agents.
Our mission is to bridge the gap between theoretical AI and tangible reality. You will work in a high-performance environment, collaborating with top-tier engineers and data scientists to solve complex problems in real-time perception, decision-making, and adaptive learning.
Why join us?
- Shape the roadmap for autonomous technologies.
- Competitive compensation package including equity.
- State-of-the-art research facilities and hardware access.
- Flexible remote and hybrid work options.
If you are passionate about building the future and want to apply your expertise to projects that redefine industry standards, we want to hear from you.
Responsibilities
- Design and architect scalable neural network architectures and robotic control systems optimized for edge computing.
- Lead the R&D team in developing next-generation algorithms for computer vision and natural language processing.
- Collaborate with cross-functional teams to integrate AI models into real-world physical platforms and software applications.
- Conduct rigorous testing, validation, and performance tuning of AI models to ensure reliability and safety standards.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stay abreast of the latest advancements in AI research and identify opportunities for technological disruption.
- Define technical roadmaps and present architectural decisions to executive stakeholders.
Qualifications
- Master’s or PhD degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- Minimum of 5+ years of professional experience in AI, Machine Learning, or Robotics development.
- Strong proficiency in Python, C++, and TensorFlow or PyTorch.
- Proven experience with deep learning frameworks and large language models (LLMs).
- Familiarity with ROS (Robot Operating System) and sensor fusion technologies.
- Experience with cloud infrastructure (AWS, GCP, or Azure) for model deployment.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.