Forward Deploy Engineer
About the role
Bucket Robotics is hiring a Forward Deploy Engineer to bridge the core engineering team with real manufacturing deployments, primarily in San Francisco with travel to customer sites across the U.S. to deploy, debug, and harden the system in production environments.
Responsibilities
- Deploy Bucket’s vision systems at customer manufacturing sites
- Work directly with customers during onboarding, pilots, and early production runs
- Integrate cameras, edge devices, and models into real production workflows
- Debug issues spanning software, ML models, hardware, lighting, and environment
- Serve as the technical owner for in-field issues from discovery through resolution
- Collaborate closely with the core engineering team to reproduce issues and ship fixes
- Translate real-world deployment pain points into actionable product and platform improvements
- Build deployment playbooks, checklists, and internal tooling to make future rollouts faster and more reliable
- Support technical evaluations alongside sales and leadership without being a sales role
Qualifications
- 2+ years experience in software engineering, robotics, systems, or field-facing engineering roles
- Strong programming skills in Python
- Comfortable debugging complex systems across hardware and software boundaries
- Experience working directly with customers in technical environments
- Enjoys wearing many hats and operating in fast-moving, ambiguous situations
- Willingness to travel ~30% of the time to customer sites across the U.S.
Skills
Benefits
- Competitive salary & meaningful equity – help shape how our technology works in the real world
- Comprehensive benefits – health, dental, and vision insurance
- Professional development budget – conferences, courses, and skills growth
- A chance to build something real – see your work running on factory floors across the country
About Bucket Robotics
Defect detection for manufacturing built from CAD and synthetic data.
Bucket Robotics is making defect detection faster, easier, and more deployable — starting with the 250M lbs of plastic wasted annually in U.S. manufacturing. Our platform turns CAD files into defect detectors. We generate synthetic, photorealistic training data to help factories catch flaws before they ship. No manual labeling, no real defects required. Our models deploy to edge hardware and integrate easily into existing automation stacks. We come from the self-driving world (Argo AI, Uber ATG, Stack AV), where we built reliable perception in high-noise, real-world environments. We're applying that experience to manufacturing: robust sensing, user-friendly interfaces, and fast iteration cycles. Manufacturers hesitate to adopt new sensing due to data concerns, integration risk, and poor UX. We’ve handled petabytes of regulated autonomy data — and built systems that earn trust. Legacy vendors like Keyence and FLIR offer hardware-centric tools with bloated pricing and outdated software. We’re building the opposite: flexible, modern tools that engineers want to use. Manufacturing is in the middle of a $700B automation wave across North America. Bucket Robotics is building the quality control infrastructure to match.
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