What are the responsibilities and job description for the Robotics SWE, Embedded Diagnostics position at nimblerobotics?
Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world’s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world’s most legendary robotics company at the most pivotal moment in history, we want to work with you.
We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
Let’s be legendary.
Role Summary
You will play a crucial role in the development and architecture of our next-generation robotics diagnostic system and improve the reliability and maintainability of the robotic fleet. You will architect the embedded diagnostic test structure,and translate complex sensor readings and error logs into actionable, easy-to-read health reports. Your work is expected to accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Data and Infrastructure teams, and the Operations team to build a robust, scalable diagnostic infrastructure.
Key Responsibilities
- Design, implement, and maintain the diagnostic framework embedded in robotics software stack, enabling both autonomous and on-demand manual diagnostic scans.
- Contribute to the diagnostic data schema, ensuring efficient, standardized, and human-readable reporting of fault codes, event logs, and status checks. Ensure the scalability of the data schema, and optimize it for use by both on-robot systems and cloud-based analytics tools.
- Work closely with hardware and integration teams to develop embedded diagnostic tests that surface robot hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), battery, power or motor anomalies, and transient firmware glitches.
- Collaborate with the Infrastructure team and build the data pipeline responsible for reliably collecting, storing and processing high volumes of diagnostic data from the robot fleet.
- Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving.
Qualifications
- BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline.
- 3 years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro-mechanical devices, robotics, or embedded systems.
- Proficiency in software development (e.g., Rust, C ) with specific experience in writing testable, robust code for embedded environments or robotics middleware.
- Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time-series databases, or cloud data storage).
- Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus.
- Familiarity with interpreting hardware schematics and leveraging low-level system logs to identify failure points.
- Familiarity with S3 or data lake storage is a plus,
Additional Details
Salary : $106