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Staff Software Engineer, Platform Infrastructure (Foundations)

Anyscale·September 25, 2026·
🌍 Remote · RemoteFull-timeSoftware Engineering

💰 $120,000 – $180,000/yrMarket estimate · not provided by the employer

At a glance

Who can apply
Not stated by the employer
Work arrangement
Remote · Remote
Employment type
Full-time
Seniority
Staff / Principal
Experience
5+ years (as stated by the employer)
Salary
$120,000 – $180,000/yr · market estimate

Checked against the employer's source on October 15, 2026. Details come from the employer's posting; confirm them on the application page.

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Job Description

About Anyscale:


At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Anyscale is seeking a Staff Software Engineer to lead the technical vision for our Infrastructure team. As a Staff Engineer, you will be responsible for the architectural evolution of our control plane and data plane, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world. You will act as a force multiplier, setting the standards for Kubernetes-based cloud-native infrastructure while mentoring engineers and driving cross-functional alignment across the Ray open-source community and our proprietary product teams.

 
 

Key Responsibilities

  • Architectural Leadership: Define and drive the multi-year technical roadmap for services that orchestrate Ray clusters across diverse cloud and on-premises environments.

  • Systemic Optimization: Lead the design and optimization of high-performance control plane components specifically tailored for large-scale, heterogeneous AI/ML workloads.

  • Platform Reliability: Establish the organization-wide standards for the reliability, scalability, and observability of Anyscale-managed infrastructure.

  • Strategic Integration: Direct the long-term strategy for accelerator integration (GPUs, TPUs) and container management to ensure seamless execution of distributed workloads.

  • Technical Governance: Lead complex design and architecture discussions, resolving deep technical debt and ensuring engineering excellence across the organization.

  • Cross-Functional Influence: Partner with ML experts and customer-facing teams to translate market needs into robust infrastructure foundations.

 
 

Qualifications

Why Anyscale

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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