Software Engineer, Infrastructure at Anyscale

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Technology, Cloud ComputingIndustries

Requirements

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 systems
Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
Deep understanding of networking, security, and authentication mechanisms in cloud environments
Familiarity with observability stacks (Prometheus, Grafana etc.)
Proficiency in Go and Python
Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)

Responsibilities

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

Skills

Kubernetes

Ray

Container Orchestration

Cloud-Native Infrastructure

Distributed Systems

Control Plane

Data Plane

Scalable Services

Anyscale

Platform for scaling AI workloads

About Anyscale

Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$252.5MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.

OctoML's OctoAI service increases competition in AI infrastructure market.

Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.

Ray is widely used in Generative AI, LLMs, and computer vision fields.

Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.

Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.

Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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