Anyscale
Staff Software Engineer, Platform Infrastructure (Foundations)
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 2 days ago · Added yesterday
First listed 2 days ago.
Salary
$215,000 to $265,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
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
Requirements
- ·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.
Benefits
- ·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
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Anyscale, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
$215,000 to $265,000 · You'll be taken to the employer's careers page.