Redefining Robotic Intelligence. Backed by Khosla.
About the role
Algorithms : Own the end-to-end safety targets and performance of perception algorithms used in robot’s collision avoidance system, develop evidence that design meets them Requirements : Derive by engineering analysis system safety requirements for detection performance, classification accuracy, KPIs, identifying and effectively mitigating malfunctions, degradation in performance, and edge cases Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Algorithms : Expertise in deterministic, auditable, explainable computer vision algorithms used for perception
- Requirements : Experience in analytically and empirically deriving engineering requirements with numerical pass/fail constraints to physical performance expressed in distance, time, speed, etc
- SOTIF : Proven record of developing SOTIF work products for a safety-related robotic or automotive system
- Calibration : Experience creating calibration fixtures, defining calibration processes and driving failure and trend analysis of field data
- Error budgets : Experience deriving and allocating error budgets, experience in developing analysis backed by data to inform trade studies to achieve compliance with error budgets
- Software safety : Strong background in safety-critical embedded software, real-time operating systems, computer vision algorithms, and safety-compliant C/C++ development
More about this role
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
You'll own the safety requirements and safety evidence for the robot's perception path, end to end: from the sensors and their data links, through detection and decision logic, to the robot's response. You'll make sure the path is deterministic, auditable and explainable, and that it meets its safety targets.
Algorithms : Own the end-to-end safety targets and performance of perception algorithms used in robot’s collision avoidance system, develop evidence that design meets them
Requirements : Derive by engineering analysis system safety requirements for...
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