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Salary
≈ $146k – $305k per year (Estimated)
Location
In office (San Carlos)
Visa
H-1B filings in 12 months: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Jul 25, 2026. Eclipse scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Eclipse is a Palo Alto-based venture capital firm focused on physical industries such as manufacturing, logistics, semiconductors, energy, healthcare and transportation. It backs companies from inception through growth that bring digital technology and AI into the physical economy, and it has been an early investor in Cerebras Systems. The firm was founded in 2015 by Lior Susan, a former hardware entrepreneur and operator.

What You'll Do

  • Own the product roadmap for our core Physical AI capabilities, translating research breakthroughs into deployable, customer-facing products.

  • Sit at the intersection of research, robotics engineering, and field deployment to turn ambiguous technical tradeoffs into clear product decisions.

  • Define what "ready for a customer site" actually means by setting success metrics, reliability thresholds, and scope boundaries for each release.

  • Drive cross-functional alignment across distributed teams in research, engineering, and field operations.

What You'll Bring

  • Track record of shipping technical products where the primary challenge was managing complex tradeoffs, not filling out roadmap slides.

  • Deep enough technical understanding to read a policy evaluation, understand a sim-to-real gap, or participate in complex debug sessions and ask the right questions without needing to write the code yourself.

  • Strong bias toward the field over the whiteboard, preferring to evaluate a failed pick on a live customer floor over reading ten synthetic benchmark reports.

  • Exceptional written communication skills to write specs and decision logs that hold up when you're not in the room.

  • Comfort operating with incomplete information in a fast-moving, pre-paradigm field where answers aren't obvious.

  • Bonus: Prior experience in robotics, autonomy, or another domain where "works in the lab" and "works in the world" carry vastly different bars for success.

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