Software Engineer, Infrastructure
Anyscale
Anyscale is building the platform where distributed computing actually works. You'll work on Ray, an open-source framework that companies like OpenAI, Uber, and Spotify use to scale AI applications. This is a solid early-career move if you want to dig into systems-level problems that matter—no startup chaos, backed by real VCs, and you're solving problems that affect how modern ML actually runs in production.
You'll own pieces of infrastructure that help developers run distributed systems without needing a PhD in distributed computing. That means writing code that scales from a laptop to a full cluster, debugging hard problems, and shipping features that thousands of engineers rely on. You'll work alongside people who understand the deep end of systems work, and you'll learn fast.
This fits you if you have a computer science or engineering background, understand networking or systems basics, and can write clean code in Python or Go. A portfolio or GitHub history that shows you've shipped something helps. You don't need distributed systems experience—willingness to learn it matters more.
Apply through CareerJumpShip to submit your resume and a note about why infrastructure work appeals to you. Anyscale is based in San Francisco and Palo Alto, California, and this role is on-site.
About this role
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 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 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
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