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Databricks

Staff Software Engineer, Foundation Model Inference

Databricks · San Francisco, California

Posted about 2 months ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Databricks's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
high
741 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

As a Staff Software Engineer on the Foundation Model Inference team at Databricks, you will build and enhance infrastructure for large-scale inference workloads, collaborating closely with various teams to improve the efficiency and reliability of AI workloads. Your role will involve shaping the product direction by engaging with enterprise users and model providers, ensuring that the solutions delivered meet user-facing needs and drive value. You will also work on real-time serving and contribute to the overall AI infrastructure strategy.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • 8+ years of experience in backend or infrastructure engineering
  • Experience with distributed systems, scalable APIs, or cloud-native infrastructure
  • Strong product and ownership mindset, with a focus on shipping user-facing value
  • Experience with real-time serving, ML infrastructure, or GPU orchestration
  • Familiarity with service-oriented architecture, deployment pipelines, and system observability
  • Strong programming skills in Scala, Go, or Python

Nice to have

  • Exposure to platforms like SageMaker, Vertex AI, or Azure ML
  • Built products that support AI workflows

Worth weighing

  • No specific benefits listed in the posting
  • Pay range transparency provided, but actual compensation may vary based on several factors
  • Role involves significant collaboration across teams, which may affect individual project ownership

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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