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 Platform and 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 team, we build the scalable, secure, and robust backbone that enables this vision, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world.

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

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:

As a Forward Deployed Engineer at Anyscale, you will partner directly with our most strategic customers, including Spanish-speaking customers across Latin America and other regions, to ensure they achieve meaningful business outcomes with Ray and the Anyscale platform. Embedded within customer teams, you’ll act as a trusted advisor, aligning technical solutions with customer priorities, accelerating time-to-value, and driving adoption at scale.

You’ll work across customer organizations — from technical leadership to individual contributors — to scope and deliver impactful solutions. By connecting insights from the field back to our product and engineering teams, you’ll help shape Anyscale’s roadmap and ensure we remain focused on solving our customers’ most critical challenges.

In this role, you will:

• Work onsite with key customers to lead proof-of-value engagements, deployments, and enterprise adoption

• Translate business objectives into technical solutions that demonstrate clear ROI and strategic impact

• Build and deliver high-impact demos, reference architectures, and enablement programs tailored to customer needs

• Act as a trusted advisor across all levels of the organization, ensuring confidence in Anyscale and Ray

• Collaborate closely with sales, product, and engineering to accelerate deals, unblock challenges, and drive long-term success

• Provide structured feedback from customer engagements to influence product direction and go-to-market strategy

   

We’d love to hear from you if you have:

• Fluency in Spanish and English is required, with the ability to work directly with Spanish-speaking technical and executive stakeholders

• 5+ years of customer-facing experience in forward deployed engineering, solutions architecture, field engineering, or software engineering

• Strong technical foundation with Ray, or the demonstrated ability to ramp quickly and apply Ray to real-world use cases

• Hands-on experience with ML training and inference workloads, including distributed training, model serving, and the performance and cost tradeoffs involved

• Working knowledge of Kubernetes and container orchestration, including deploying and operating workloads in Kubernetes-based environments

• Proven success driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutions

• Experience engaging both executive and technical stakeholders, tailoring communication to each audience

• A customer-first mindset with a track record of delivering measurable business impact

• Willingness to travel frequently and spend extended time embedded with customers