Job Description
Are you ready to push the boundaries of what is possible? Nexus Future Labs is seeking a visionary Lead R&D Scientist to spearhead our next generation of autonomous intelligent systems. You will work at the intersection of deep learning and mechanical engineering to solve complex, real-world problems in a high-impact, collaborative environment.
We offer a dynamic, cutting-edge workplace that encourages intellectual curiosity, rapid prototyping, and high-level architectural innovation. If you thrive on solving 'unsolvable' challenges, we want you on our team.
Responsibilities
- Architect and lead end-to-end research projects focused on AI-driven robotic autonomy.
- Collaborate with cross-functional teams to integrate experimental models into production-grade systems.
- Publish white papers and secure intellectual property through patents and technical disclosures.
- Mentor junior researchers and foster a culture of rigorous scientific inquiry.
- Analyze large-scale datasets to derive actionable insights that inform product development cycles.
- Develop internal tools and simulation environments to accelerate testing protocols.
Qualifications
- PhD in Robotics, Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in an R&D environment, preferably within the tech or aerospace sector.
- Expert-level proficiency in Python, C++, and deep learning frameworks (PyTorch/TensorFlow).
- Proven track record of delivering innovative solutions with measurable impacts on product scalability.
- Strong background in path planning, computer vision, or sensor fusion.
- Excellent communication skills with the ability to translate complex technical findings to non-technical stakeholders.