Dapster AI
Field Application Engineer
Phoenix · Staff+
Sponsorship not specifiedDetected 900 days ago
Customer SupportElectrical EngineeringCommunication
About the role
- So, we likely won't review/respond quickly, but we WILL look here first when we crank up the hiring machine again.] Dapster is looking for a Field Application Engineer to join our small-but-powerful team.
- This is an impact opportunity -- we're very much still an early-stage startup, and you will be working on our foundational technology and products.
- About Dapster: Dapster is focused on bringing AI-fueled robotic picking solutions to market.
Responsibilities
- We recently landed a large pilot with a top retailer -- effectively dilution-free funding to develop our core technology.
Requirements
- Strong engineering mindset, demonstrated by either a degree in Mechanical or Electrical Engineering, Computer Science, or related fields, or relevant experience and activities.
- Effective communication skills, both verbal and written, with the ability to convey technical information to non-technical audiences.
- Ability to work both independently and collaboratively in a dynamic and fast-paced environment.
Nice to have
- Prior experience with robotic products and solutions such as robotic arms and autonomous mobile robots (AMRs).
- Familiarity with warehouse operations and experience working with warehouse staff.
Benefits
- Interested in learning more?
Company info
- [Note: we are currently fully staffed for this role, but expect to be hiring for additional team members in the near future.
- So, we likely won't review/respond quickly, but we WILL look here first when we crank up the hiring machine again.]
- Dapster is looking for a Field Application Engineer to join our small-but-powerful team.
- If you want to do interesting work with a sharp, experienced and humble team, and share in the upside that comes with joining at the earliest stages, we'd love to talk to you https://jobs.ashbyhq.com/Dapster.
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This listing is sourced directly from Dapster AI's careers page and normalized into a canonical job model.