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60 Databricks Senior Infrastructure Engineer Jobs Hiring Near You

Databricks

Senior Staff Software Engineer - IAM

Seattle, WA · On-site

$139K - $183K/yr

Our engineering teams build highly technical products that fulfill real, important needs in the ... Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

As a Sr. Backend Software Engineer for Customer Experience Intelligence (CXI ) , you will architect ... Contribute to the technical vision, core infrastructure, and backend architecture for Databricks ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA · On-site

$138K - $182K/yr

P-1253 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from ... We do this by building and running the world's best data and AI infrastructure platform, so our ...

Databricks

Sr. Software Engineer- Backend

New York, NY · On-site

$165K - $219K/yr

Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps ... Shape how developers and data scientists build and interact with AI on Databricks What we look for ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

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Infographic showing various Senior Infrastructure Engineer job openings at Databricks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

Staff Software Engineer - AI Research Infrastructure

Databricks

New York, NY • On-site

$189K - $224K/yr

Full-time

Re-posted 3 days ago

Job description

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe largescale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You'll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

  • Design and implement infrastructure that supports largescale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloudbased systems)
  • Enable researchers to go from idea to largescale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
  • Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
  • Influence the longterm roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
  • Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

  • BS/MS or PhD in Computer Science or related field
  • 5+ years of software engineering experience, including substantial time working on largescale distributed systems or infrastructure.
  • Have deep experience with building and operating distributed systems, data pipelines, or largescale backend services, ideally involving GPUs, clusters, or major cloud providers.
  • Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
  • Have built or significantly contributed to cluster schedulers, resource managers, or largescale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
  • Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, finetuning, evaluation), even if you're not primarily a research scientist.
  • Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, wellowned services.
  • Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

Apply