Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.
Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics!
Learn more at dyna.co
Position Overview:As the founding Navigation Engineer at Dyna Robotics, you will play a pivotal role in expanding the workspace of our robots. You will lead the design and development of a navigation and mapping stack that will interface with our manipulation foundation model. You will collaborate closely with our AI research and hardware teams to ensure optimal performance of our stack across sensor selection, mapping, localization, and integration with our model. This position is essential to our mission of achieving long-term general intelligence in robotic systems.
Key Responsibilities:
Design a hybrid navigation system that combines classical approaches (SLAM, state estimation) with foundation model capabilities.
Determine the optimal division of responsibilities between algorithmic and learned components.
Drive sensor selection and verification to ensure we build our stack with the best cost / performance tradeoff.
Act as a bridge between the hardware and research teams to optimize performance across the full stack.
Work with the product team to ensure we can perform economically useful tasks that are currently infeasible with a stationary manipulation platform.
Qualifications:
Bachelor’s degree or higher in Robotics, Computer Science or a related field.
7+ years of professional experience in autonomous vehicles, robotics or related industries, including significant experience in navigation systems.
Strong theoretical understanding of state estimation, SLAM, and sensor fusion, with practical experience applying both classical and learning-based approaches.
Ability to perform hands-on coding to implement complex software systems.
Familiarity with coding best practices and design patterns.
Experience with sensor selection and verification, ideally with hands-on prototype integration.
Strong ownership, communication, and collaboration skills.
Preferred Qualifications:
Familiarity with robot learning approaches.
Experience with C, C++, and embedded systems.
Strong leadership and people management skills.
Comfort with customer- and product-focused decision making for hard technical problems.
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What We Do
Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time
