Developer Advocate for Physical AI: Robotics & SDKs

Avala

San Francisco (CA)

Hybrid

USD 120,000 - 180,000

Full time

25 hours ago
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Benefits offered by this job

Health coverage
Equity in the team
Unlimited PTO
FSA

Job summary

Avala in San Francisco is seeking a Developer Advocate to craft technical content, tutorials, and SDK integrations that help robotics and AV engineers leverage Avala's platform—from Python SDK to annotation API.

You will engage with the developer community, present at events, build demos and reference architectures, and provide actionable feedback to product and engineering teams to advance Physical AI data infrastructure.

Qualifications

  • 3+ years as a developer advocate, solutions engineer, or technical content creator
  • Strong programming skills in Python and TypeScript
  • Experience with ML workflows, computer vision, or robotics
  • Excellent public speaking and technical writing skills
  • Active presence in developer communities

Responsibilities

  • Create technical tutorials, sample code, and documentation for Avala's SDKs and APIs
  • Present at conferences, meetups, and webinars on Physical AI data infrastructure
  • Build demo applications and reference architectures for common AV/robotics workflows
  • Engage with the developer community on GitHub, Discord, and forums
  • Provide feedback from developers to the product and engineering teams
  • Contribute to open-source tools and format specifications in the Physical AI ecosystem

Skills

Python
TypeScript
ML workflows
Computer vision
Robotics
Public speaking
Technical writing
Developer communities

Tools

ROS
MCAP
AV data formats

Job description

Avala in San Francisco is seeking a Developer Advocate to craft technical content, tutorials, and SDK integrations that help robotics and AV engineers leverage Avala's platform—from Python SDK to annotation API.

You will engage with the developer community, present at events, build demos and reference architectures, and provide actionable feedback to product and engineering teams to advance Physical AI data infrastructure.

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