Staff AI Engineer — Manufacturing Vision & AI Systems

Talentify

San Carlos (CA)

On-site

USD 137,000 - 207,000

Full time

14 days+
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Job summary

Joby is seeking a Staff Software Engineer with a strong AI focus to integrate AI, computer vision, and automation into manufacturing workflows. You will partner with software, product, operations, and hardware teams to identify high-impact opportunities and deploy vision systems that improve inspection, traceability, and process monitoring.

The role requires a BS/MS in CS/EE and 5+ years building production systems, with strong Python skills and API design experience.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering or equivalent practical experience.
  • 5+ years of software engineering experience building and operating production systems.
  • Strong Python skills and experience with AI/ML, computer vision, or data-intensive systems.
  • Experience designing APIs, services, integrations, and maintainable architectures.
  • Proven ability to move prototypes into production with debugging, testing, and observability.

Responsibilities

  • Identify, prototype, and deploy AI/ML and computer vision solutions for manufacturing workflows.
  • Build reliable AI-enabled services, APIs, and data pipelines integrating internal systems and equipment.
  • Ensure safety and quality: measure model quality before and after deployment to avoid incorrect predictions in production.
  • Own end-to-end delivery from requirements through deployment, monitoring, and iteration.
  • Lead design discussions, mentor engineers, and establish patterns and tooling for AI-enabled features.

Skills

Python
APIs & services
Production systems
Cross-functional collaboration
Debugging & observability

Education

B.S./M.S. in CS/EE

Job description

Joby is seeking a Staff Software Engineer with a strong AI focus to integrate AI, computer vision, and automation into manufacturing workflows. You will partner with software, product, operations, and hardware teams to identify high-impact opportunities and deploy vision systems that improve inspection, traceability, and process monitoring.

The role requires a BS/MS in CS/EE and 5+ years building production systems, with strong Python skills and API design experience.

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