---
title: 'Staff Software Engineer, Platform Infrastructure (Foundations) at Anyscale'
canonical: 'https://feeny.ai/job/staff-software-engineer-platform-infrastructure-foundations-anyscale-san-737ksq441qx3'
type: 'job'
last_seen: '2026-11-11'
---

# Staff Software Engineer, Platform Infrastructure (Foundations) at Anyscale

- **Company:** Anyscale
- **Location:** San Francisco, CA
- **Compensation:** $215k–$265k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/anyscale/02ed9406-2b43-4009-a80f-2dd94e2f6e96

## Job description

About Anyscale:

At [Anyscale](https://www.anyscale.com/), we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing [Ray](https://docs.ray.io/en/latest/), a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like [OpenAI](https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/), [Uber](https://www.uber.com/blog/horovod-ray/), [Spotify](https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/), [Instacart](https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB), [Cruise](https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB), 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](https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200) 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

- Experience: 5+ years of experience writing high-quality production code and leading complex distributed systems projects.
- Architectural Depth: Proven track record of designing and maintaining highly available, scalable, and secure cloud-native platforms (AWS, Azure, or GCP).
- Kubernetes Mastery: Deep expertise in Kubernetes-based deployments and container orchestration at massive scale.
- System Foundations: Advanced knowledge of Linux kernel, networking, and low-level operating system foundations.
- Technical Proficiency: Mastery of Go and Python, with the ability to set coding standards and best practices for the team.
- Leadership Skills: Demonstrated ability to mentor senior engineers, influence technical direction without direct authority, and navigate complex trade-offs in a fast-paced environment.

## Why Anyscale

- We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
- Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
- We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
- Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
- Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
- We offer flexible time off, paid parental leave, and mental health support

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](https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing) and the [Right to Work posters in English and Spanish](https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing)

## About Anyscale

## Company Overview
- **One-liner**: Anyscale provides a production-grade platform for building, running, and scaling data-intensive AI workloads, powered by the open-source Ray framework.
- **Entity Type**: Private (backed by prominent venture investors)
- **Headquarters**: San Francisco, CA, USA (600 Harrison Street, 4th Floor) and Bangalore, India
- **Founded**: 2019
- **Founders**: Co-founders include the creators of Ray from UC Berkeley RISELab (names not explicitly listed in provided sources)

## Core Business
- **Primary industry**: AI Infrastructure / Distributed Computing
- **Target customers**: AI teams building foundation models, data curation pipelines, batch inference, and serving workloads; B2B enterprise and startups
- **Mission**: Make scalable computing effortless  
  **Vision**: Build the future of distributed computing for AI and ML workflows

## Products & Services
- **[Anyscale Platform](https://www.anyscale.com/platform)**: A managed, production-grade platform that runs Ray clusters across any cloud. Includes developer tooling (Workspaces, managed dashboards), cluster orchestration (Jobs & Services, autoscaling, multi-cloud), governance (SSO, SAML, SCIM, budgets), observability (workload-specific dashboards, lineage tracking), and the fully managed Anyscale Runtime.
- **Ray Open-Source Framework**: Although open source and community-driven, Anyscale is built by the creators of Ray and offers the runtime as the core compute engine for its platform.

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources
- **Key Metric**: Total funding not specified in sources; investors include Sequoia Capital, Andreessen Horowitz, NEA, and others (based on investor logos on [about page](https://www.anyscale.com/about)). Ray has exceeded **500 million downloads** and **41K+ GitHub stars**.
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, NEA (from company website); partners include AWS, GCP, Azure, CoreWeave, Nebius.
- **Growth Signals**: Employee recommendation rating of **94%**; **4.7 Glassdoor** rating; three offices globally; used by foundation model builders for tasks like embedding generation (80% cheaper), batch inference (3x faster), and training (5x faster).

## Competitive Advantages
- **Ray ecosystem**: Anyscale is built and maintained by the original creators of Ray, the most widely adopted open-source AI compute engine, giving them deep technical expertise and influence on the project’s direction.
- **Multi-cloud orchestration**: Run workloads seamlessly across AWS, GCP, Azure, and specialized GPU clouds without cloud-specific rewrites.
- **Fine-grained hardware allocation and GPU pooling**: Dynamic capacity reallocation maximizes GPU utilization and reduces costs.
- **Developer experience**: Simple Python APIs (e.g., `@ray.remote`) and cluster-backed VS Code/Jupyter workspaces enable scaling from a laptop to a data center without code changes.

## Strategic Focus
- **Current priorities**: Foundation model training and post-training (RLHF, fine-tuning), multimodal data curation, batch embedding generation, and real-time serving. Emphasis on reducing GPU costs and improving developer velocity through unified governance and observability.
- **Direction for growth**: Expanding multi-cloud orchestration, deepening integrations with third-party libraries (vLLM, SGLang, PyTorch, XGBoost), and enabling teams to “unify and govern every team’s AI workloads across clouds.”

## Why Work Here
- **Culture**: Values include “Customer & Community Obsessed,” “LFG” (move fast, push boundaries), “Raise the Bar,” “Take the Longview.”
- **Remote/hybrid/office**: Offices in San Francisco, Palo Alto, and Bangalore. In-office meals (lunch and dinner) and commute reimbursement for Bay Area residents.
- **Benefits**:
  - Health, Vision, Dental (95% covered plans)
  - Fertility benefits (up to $12,500 via Kindbody) and 12 weeks paid parental leave
  - Flexible time off
  - $100/month learning and wellness stipend
  - Paid volunteer time off
  - Mental health support (Rula)
- **Engineering culture**: High autonomy, work on cutting-edge AI infrastructure, close connection to open-source community.

## Sources
1. [anyscale.com](https://www.anyscale.com/)
2. [anyscale.com/about](https://www.anyscale.com/about)
3. [anyscale.com/careers](https://www.anyscale.com/careers)
4. [anyscale.com/platform](https://www.anyscale.com/platform)
5. [jobs.ashbyhq.com/anyscale](https://jobs.ashbyhq.com/anyscale)

## Other roles at Anyscale

- [AWS & Neo Cloud Alliances Senior Manager](https://feeny.ai/job/aws-neo-cloud-alliances-senior-manager-anyscale-remote-ggsr2c82e4x5)
- [Forward Deployed Engineer - AI/ML Platforms](https://feeny.ai/job/forward-deployed-engineer-ai-ml-platforms-anyscale-san-francisco-tnagmm5tq3fm) — San Francisco, CA
- [Senior Cloud Security Engineer](https://feeny.ai/job/senior-cloud-security-engineer-anyscale-san-francisco-caz8eh20e566) — San Francisco, CA
- [Engineering Manager, Ray Data](https://feeny.ai/job/engineering-manager-ray-data-anyscale-san-francisco-te0ctm3v9d6k) — San Francisco, CA
- [Senior Product Security Engineer](https://feeny.ai/job/senior-product-security-engineer-anyscale-bengaluru-nqj8k4p0prnc) — Bengaluru, India
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-anyscale-new-york-a5vs6nk68s5j) — New York, NY
- [Senior Detection and Response Engineer](https://feeny.ai/job/senior-detection-and-response-engineer-anyscale-bengaluru-6vecj8zn4jtq) — Bengaluru, India
- [Compliance Manager](https://feeny.ai/job/compliance-manager-anyscale-san-francisco-hw0ps9rpgzd1) — San Francisco, CA
- [Staff Software Engineer, Ray Core](https://feeny.ai/job/staff-software-engineer-ray-core-anyscale-san-francisco-5nag5yvmhcw4) — San Francisco, CA
- [Staff Software Engineer, Ray Data](https://feeny.ai/job/staff-software-engineer-ray-data-anyscale-san-francisco-w276956abvvm) — San Francisco, CA