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 looking for a Software Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.
Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.
We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform.
You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.
A snapshot of projects you may work on
Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments
Optimize control plane components for large-scale, distributed AI/ML workloads
Build intelligent scheduling and resource management systems for heterogeneous compute clusters
Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads
Support and optimize accelerator integration (e.g., GPUs, TPUs).
Handle container image management and dependency resolution for distributed workloads
Participate in code reviews, design and architecture discussions
Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues
Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure
We'd love to hear from you if have
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
3+ years of experience writing high-quality production code
Hands-on experience in building and maintaining highly available, scalable, and performant distributed system
Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
Deep understanding of networking, security, and authentication mechanisms in cloud environment
Familiarity with observability stacks (Prometheus, Grafana etc)
Proficiency in Go and Python
Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)
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
Skills Required
- Bachelor's degree in Computer Science or equivalent experience
- 3+ years of experience writing high-quality production code
- Experience in building and maintaining scalable distributed systems
- Expertise in cloud-native technologies and Kubernetes
- Understanding of cloud networking, security, and authentication
- Familiarity with observability stacks like Prometheus, Grafana
- Proficiency in Go and Python
- Knowledge of Linux kernel and container foundations
Anyscale Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anyscale and has not been reviewed or approved by Anyscale.
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Fair & Transparent Compensation — Pay is considered market-based with target ranges shown in postings and a stated market-based philosophy. Feedback suggests this clarity and consistency aid confidence in pay fairness.
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Equity Value & Accessibility — Equity is commonly included in offers and is positioned as a meaningful part of total compensation for many roles. Feedback suggests this equity participation enhances perceived overall pay competitiveness.
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Healthcare Strength — Health, dental, and vision coverage are described as robust with many plan options, alongside mental-health support and fertility benefits. Feedback suggests this strong core healthcare offering increases perceived benefits quality.
Anyscale Insights
What We Do
Distributed computing made simple Anyscale enables developers of all skill levels to easily build applications that run at any scale, from a laptop to a data center.
