Exa

10 months ago

Software Engineer, Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Design and operate large-scale infrastructure for Exa’s AI-powered search engine, focusing on GPU clusters, Kubernetes-based orchestration, and cloud batch processing. You’ll improve reliability, observability, and performance across the stack while building tooling to scale a massive GPU-driven cluster and distributed workloads.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build Kubernetes orchestration on a multi-million-dollar GPU cluster to support scalable workloads
•Scale AWS batchjob system to handle map-reduce jobs across tens of thousands of machines
•Design GPU scheduling software to maximize cluster utilization and efficiency
•Develop and improve observability across production systems for reliability and performance
•Contribute to tooling and infrastructure powering Exa’s systems to move fast as an engineering org

Pay and Benefits

Salary: USD 150,000 - 300,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience designing and operating large-scale infrastructure (GPU clusters or large Kubernetes clusters or cloud batchjob systems)
•Proven focus on reliability, observability, and optimization across the stack
•Ability to design and operate Kubernetes orchestration for GPU clusters
•Experience scaling batchjob systems (e.g., AWS batch) to thousands of machines
•Familiarity with GPU scheduling, observability tooling, and distributed systems

Experience:AI infrastructureGPU clusteringKubernetesDistributed systemsCloud batch processing

Skills:RustKubernetesGPUBatch processingObservabilityDistributed systems

Tech Stack:RustKubernetesRayAWSGPUHPCObservability

Eligibility

Visa:H1BOPTSTEM OPTO1E3

Work Authorization:Sponsorship available.

Company Brief

Exa

Builds an embeddings-based neural search engine and web search API for AI applications, offering crawling, retrieval, and deep research tools to serve developers and AI agents with up-to-date web knowledge.

Industry: API Platforms

Company Size: Small (11 to 50 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Exa