Added
1 hour ago
Type
Full time
Salary
Salary not provided

Related skills

docker linux python kubernetes computer vision

πŸ“‹ Description

  • 0-to-1 deployment: turn proof-of-concepts into production deployments.
  • Edge-first engineering: deploy CV systems on edge hardware in the field.
  • Embed with customers: on-site or deeply embedded deployments (4–12 weeks).
  • Production engineering: write production-grade code for customer environments.
  • Be our eyes and ears in the field: surface gaps to Product/Engineering.
  • Knowledge transfer & handoff: document architecture and train customer teams.

🎯 Requirements

  • Strong proficiency in Python.
  • Docker
  • Kubernetes
  • Linux networking
  • Experience with edge computing hardware (NVIDIA Jetson, industrial cameras).
  • Production deployment experience for ML/Computer Vision.
  • Willingness to travel ~40–50% for on-site deployments.

🎁 Benefits

  • $4000/yr Travel stipend
  • $350/mo Productivity stipend
  • $350/mo AI Tools
  • $500 one-time Home office
  • Health insurance coverage for you and your family
  • Equity in the company

🚚 Relocation support

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