Job Description
Lead the Future of Intelligence at Nexus Dynamics
We are seeking a visionary Senior AI & Robotics Engineer to join our elite R&D division. As we architect our strategic roadmap toward Project 2026, you will play a pivotal role in developing autonomous systems that redefine human-machine interaction. If you are passionate about pushing the boundaries of machine learning and robotics in a high-impact environment, we want to hear from you.
Why Join Nexus Dynamics?
- Strategic Impact: Directly contribute to the core infrastructure powering our 2026 vision.
- Innovation First: Work with state-of-the-art tools including Transformer architectures and reinforcement learning.
- Competitive Compensation: We offer a top-tier salary and equity package for top-tier talent.
Responsibilities
- Architect & Develop: Design and implement scalable deep learning models for robotic control and perception systems.
- Project 2026 Leadership: Lead cross-functional teams in defining technical milestones and delivery schedules for the 2026 deployment cycle.
- Model Optimization: Optimize neural networks for real-time inference on edge devices with low latency requirements.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- R&D Collaboration: Partner with academic institutions and research labs to stay at the forefront of AI advancements.
- System Integration: Integrate AI components into complex hardware-software systems, ensuring seamless interoperability.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Robotics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, specifically in robotics or autonomous systems.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++ for embedded systems.
- Knowledge: Deep understanding of computer vision, natural language processing (NLP), and reinforcement learning.
- Tools: Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes).
- Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work in a fast-paced startup environment.