10 months ago
Responsibilities
- Own end-to-end delivery for strategic customer accounts, including requirements scoping, delivery sequencing, pre-shipment QA, and blocker resolution.
- Act as the first technical responder for assigned accounts, triaging questions, managing timelines and expectations, and escalating issues when necessary.
- Represent XDOF’s technical capabilities to sophisticated customers while protecting proprietary methodology.
- Translate recurring customer needs and delivery challenges into roadmap input for the data engine, pipelines, and annotation systems.
- Create reusable playbooks and, as the role matures, lead platform-integration engagements and model fine-tuning and evaluation services.
Requirements
- Bring 5+ years of engineering experience, ideally including customer-facing or forward-deployed work.
- Demonstrate a founding-engineer profile with the ability to own multiple areas, solve difficult problems without an established playbook, and engage directly with customers.
- Have strong production coding skills, preferably in Python, with experience shipping and operating data pipelines or infrastructure.
- Demonstrate high agency and comfort with ambiguity, driving customer outcomes without waiting for detailed specifications.
- Communicate effectively with engineers and executives, including running discovery, respectfully challenging unrealistic requests, and explaining complex tradeoffs.
- Preferred qualifications include experience in robotics, embodied AI, autonomy, or ML data infrastructure; familiarity with robot-learning data such as teleoperation, egocentric data, and VLA or robot foundation models; and forward-deployed or solutions experience at an enterprise or frontier-AI company.
Tech Stack
Categories
Forward Deployed
About XDOF
XDOF builds data, software, and operational infrastructure for robotics companies and research labs developing general‑purpose robots and physical AI. It provides scalable data collection, tooling, hardware integration, and services that help teams train, deploy, and manage autonomy systems. The company is privately held and positions itself as an infrastructure partner to frontier labs and robotics builders, with a team drawing experience from Tesla, Google, Applied Intuition, BAIR, Covariant, and Gatik.