Seattle, WA

Salary
$163,000–$237,000from the description
Posted
Jun 30, 2026
Location
Seattle, WA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role sits at the intersection of hands-on AI infrastructure work and developer outreach. The engineer is expected to run real training, fine-tuning, and inference workloads on GPU and TPU hardware, then translate that practical experience into technical content — blogs, videos, demos, and talks — aimed at the broader developer community. It suits someone with a background in AI/ML infrastructure and an established track record of public technical communication.

Senior level · 5+ years · Sunnyvale, CA · Full-time

Must have (4)
AI/ML workloads · 2+ yrsKubernetes or GkeGPU or Tpudeveloper content creation · 2+ yrs
Nice to have (5)
Python, C++ or Javamodel trainingreinforcement learninginference workloadsgenerative AI

“or” means any one of them counts — you don't need all of them.

Posted 4 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What the occupation pays Median $188,486 (middle half $139,113–$224,920). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

This is a Developer Relations / Developer Advocacy role — a hybrid of hands-on technical work and external community/content work. 15-1299 (Computer Occupations, All Other) is the best fit; 15-1252 (Software Developers) is the runner-up given the strong emphasis on building and running real workloads.

The posting lists multiple possible work locations: Sunnyvale CA, Cambridge MA, Kirkland WA, New York NY, Raleigh NC, Durham NC, and Seattle WA. Sunnyvale is listed first; the role is not fully remote.

The Bachelor's degree requirement explicitly accepts 'equivalent practical experience', so the degree requirement is set to None.

The 2-year AI/ML workloads requirement explicitly names Kubernetes or GKE as the orchestration context — Kubernetes is also called out separately under preferred qualifications, but it is a hard gate via the minimum qualifications block.

Developer content creation (blogs, videos, podcasts, live streams) is a hard gate with a stated 2-year minimum — unusual for a software engineering role but clearly required here.

Python is listed under preferred qualifications with an explicit note that strong OOP in C++ or Java is acceptable; marked preferred with those languages as alternatives.

The compensation figure of $163,000–$237,000/year is stated for the US, plus a 15% bonus target and equity — bonus and equity cannot be represented in the comp fields and are noted here.

The posting's internal framing labels this role 'Mid Experience' in the header, but the title says 'Senior' and the requirements (5 years total, 2 years specialized AI/ML, external public presence) support a Senior classification.

Read the full posting

The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.

Apply

Apply on employer site ↗