Job Description
Join Nexus Mobility Solutions at the forefront of 2026's transportation revolution! We're seeking visionary AI-Powered Urban Mobility Architects to design autonomous transit systems that will redefine how 50+ million Americans navigate cities. You'll lead cross-functional teams in developing scalable, ethical AI frameworks for next-generation smart infrastructure. Work alongside MIT-affiliated researchers in our Austin innovation hub to prototype solutions for climate-resilient urban ecosystems. This role offers unparalleled opportunities to shape the future of sustainable mobility while receiving industry-leading compensation and equity.
Responsibilities
- Architect AI-driven mobility platforms integrating autonomous vehicles, smart traffic systems, and renewable energy grids
- Lead development of predictive algorithms for urban traffic flow optimization using real-time data from 1M+ IoT sensors
- Collaborate with city planners to design climate-adaptive transportation hubs for 2030 population projections
- Oversee implementation of federated learning frameworks across 5 pilot cities
- Present innovations to federal transportation committees and venture capital partners
- Mentor junior engineers in ethical AI deployment and sustainable design principles
Qualifications
- 8+ years experience in AI/ML with specialization in computer vision or predictive analytics
- Proven track record deploying autonomous systems in urban environments
- Expertise in Python, TensorFlow, and edge computing infrastructure
- Master's degree in Computer Science, Urban Planning, or related field
- Published research on AI ethics or sustainable transportation systems
- Experience securing DOE grants or federal innovation funding
- Professional certification in Smart Transportation Systems (STS)