Ndimensions Labs - Robotics Navigation Engineer, Electrical Engineer (Robotics)
Boston startup hiring for SLAM, path planning, and custom robotics electronics roles.
Ndimensions Labs, a Boston-based startup building infrastructure for next-generation robotics AI systems, has opened two full-time hybrid positions: a Robotics Navigation Engineer and an Electrical Engineer (Robotics). The salary range of $100,000 to $300,000 signals the high value placed on specialized talent capable of pushing autonomous systems beyond current limitations. The navigation role focuses on researching and implementing novel approaches to SLAM (simultaneous localization and mapping), path planning, and spatial reasoning, blending classical robotics techniques with modern AI methods to solve navigation problems that don’t yet have good solutions. The electrical engineer will own the design, prototyping, testing, and production of custom electronics for the company’s robotic platforms, working closely with hardware, firmware, and AI teams.
These job postings reflect a broader trend: as robotics moves from controlled environments to complex real-world settings, companies are investing heavily in engineers who can combine perception, reasoning, and hardware innovation. Ndimensions is specifically targeting candidates with a research mindset—applicants are encouraged to share papers, repos, and demos. The hybrid setup and Boston location put it at the intersection of AI research and hardware development. For tech professionals, this signals that robotics AI roles are becoming as competitive and well-compensated as pure software AI positions, with a premium on hands-on systems integration and novel algorithm development.
- Salary range of $100K–$300K for Robotics Navigation and Electrical Engineering roles
- Roles focus on SLAM, path planning, spatial reasoning, and custom electronics for robotic platforms
- Hybrid work in Boston, with emphasis on research and novel problem-solving beyond existing solutions
Why It Matters
Reflects intense demand for robotics AI engineers as autonomous systems evolve beyond simple environments.