Job Description
We are seeking a visionary Future Mobility AI Engineer to architect the next generation of autonomous transportation. At Nexus Dynamics, we are building the infrastructure for the year 2026, blending cutting-edge artificial intelligence with robust engineering to create safer, smarter, and more efficient mobility solutions. You will be instrumental in defining the technical roadmap that will shape the future of how the world moves.
Why Join Nexus Dynamics?
- Work on high-impact projects with a mission-driven team.
- Access to state-of-the-art hardware and simulation environments.
- Competitive compensation and equity package.
Responsibilities
- Design and deploy scalable deep learning models for autonomous navigation and decision-making systems.
- Optimize neural networks for edge computing environments to ensure real-time processing capabilities for the 2026 release.
- Collaborate with cross-functional teams to define the technical roadmap and ensure scalability.
- Implement and validate safety-critical V2X (Vehicle-to-Everything) communication protocols.
- Conduct rigorous testing on simulation platforms to predict and mitigate risks in complex environments.
- Stay ahead of industry trends in quantum computing and AI ethics to future-proof our architecture.
Qualifications
- Master’s or Ph.D. in Computer Science, Robotics, or a related field.
- 5+ years of professional experience with machine learning frameworks (PyTorch, TensorFlow, JAX).
- Proven track record of working with sensor fusion technologies (LiDAR, Radar, Camera).
- Deep understanding of control theory and path planning algorithms.
- Strong experience in software engineering best practices and CI/CD pipelines.
- Excellent communication skills and a passion for the future of transportation.