Software Engineer, Backend – Data Systems, AI/Robotics
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Job Description
Software Engineer focusing on backend systems for a data marketplace in physical AI. Build scalable infrastructure and optimize data pipelines while shaping company direction.
Responsibilities:
- Build and scale our capture-to-cloud pipeline (ingestion, uploads, processing, storage, access)
- Drive performance work across compression, reliability, observability, and robustness of our data pipeline.
- Build internal services and tools that unblock capture and operations teams
- Partner closely with ops to shorten the loop from capture to customer-ready data
- Help define technical direction and engineering best practices as the team scales
Requirements:
- Strong backend fundamentals: distributed systems, APIs, databases, queues, storage
- Experience owning systems end to end, including when things break
- Comfort operating without a lot of structure and helping create it
- Product-minded builder who is comfortable translating real world feedback into better systems and experiences
- Clear communicator with high accountability
- Emotional maturity and good judgment under pressure
- Bonus points: Robotics, autonomy, CV, or sensor-adjacent environments
- Bonus points: Video pipelines, media processing, or large-file transfer experience
- Bonus points: Internal tooling or ops-support systems
Benefits:
- A world-changing problem: Physical AI will reshape entire industries, but it cannot scale without real-world data. Trace is addressing one of the core constraints holding the field back.
- Early but real traction: Active pilots with growing demand on both sides of the marketplace.
- Experienced, tight-knit team: Ex founders, PhDs, and operators with a track record of building and scaling together.
- Real ownership: This is early. Your work will materially shape the product, systems, and direction of the company.
- Foundational platform: We are building core infrastructure that enables many future products and use cases as physical AI evolves.
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