Forward Deployed Engineer; FDE

San Mateo, CA

Fully onsite, 5 days per week, Monday–Friday.

Series A

The company has raised $70 million in Series A funding, backed by leading venture investors. Revenue is strong and growing quickly.

On-site — 5 days per week

$230,000–$310,000 Base

Competitive Equity

Open to visa transfers, including H-1B and OPT transfers.

Full-time

This venture-backed company is building the data engine for physical AI, delivering high-quality teleoperation and robotics training data to frontier AI labs and leading humanoid robotics companies worldwide.

The company has raised $70 million in Series A funding from prominent investors, including Thrive, Andreessen Horowitz, and Spark Capital. Its founders have backgrounds in Berkeley robotics research and experience at leading robotics companies. With strong, growing revenue and increasing demand from major customers, the company is scaling its customer delivery and engineering capabilities.

The company is looking for a Forward Deployed Engineer (FDE) to own end-to-end technical delivery for its most strategic enterprise customers in the robotics and frontier AI space. This is a founding FDE role, offering the opportunity to establish the forward-deployed engineering function and shape how the company serves its largest accounts.

The ideal candidate combines strong software engineering skills with excellent customer communication. They should be able to understand complex technical systems, independently troubleshoot customer issues, manage data delivery, and translate technical concepts into clear, actionable explanations.

This is not a traditional sales engineering role. The company needs a hands‑on engineer who can write production-quality code, solve technical problems independently, and build trust with sophisticated robotics and AI customers.

• Own technical delivery for a portfolio of strategic customers, including leading robotics companies and frontier AI organizations.
• Understand the complete data pipeline, from customer requirements and data collection through quality assurance and final delivery.
• Scope customer requirements and translate them into concrete technical execution plans.
• Ensure data quality and verify deliverables before they are shipped to customers.
• Identify delivery blockers, troubleshoot issues, and drive resolution independently.
• Coordinate across internal teams to ensure customer requirements are understood and delivery commitments are met.
• Take responsibility for the quality, accuracy, and timeliness of customer deliverables.
• Build a deep understanding of each customer's technical requirements and how delivered data affects their model performance.
• Manage multiple customer engagements while maintaining high standards of delivery and communication.

• Serve as the first technical point of contact for assigned customer accounts.
• Triage customer questions, investigate technical issues, and resolve most problems without escalating to other engineers.
• Use strong coding and debugging skills to identify root causes and implement practical solutions.
• Understand the underlying data pipeline and related technical systems well enough to diagnose issues end-to-end.
• Communicate technical limitations, delivery risks, and timelines clearly to customers.
• Set realistic expectations and proactively communicate when an issue may affect delivery.
• Distinguish between issues that can be resolved independently and those requiring additional engineering support.
• Develop a structured approach to recurring customer issues, reducing repeated troubleshooting effort.
• M…