Responsibilities:
- Build and evolve core systems that move data from capture to customer-ready datasets.
- Improve reliability, performance, and observability of systems operating in messy environments.
Qualifications:
- Strong generalist engineering skills with experience across multiple parts of the stack.
- Solid backend fundamentals and the ability to reason about systems, performance, and tradeoffs.
Team Culture:
- High ownership, good judgment, and productive, thoughtful communication.
- Emotional maturity and a collaborative, grounded working style.
Trace
Trace is building the data marketplace for physical AI, providing infrastructure to capture and transform real-world work data into training data for robotics and embodied AI systems. The company is an early-stage startup with a tight-knit team of ex-founders, PhDs, and operators who work collaboratively.