Infrastructure Software Engineer, Enterprise GenAI

Scale AI
San Francisco, New York
Workplace: OnsiteFull timeUSD 216,200 - 270,250 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Communication","Problem-solving","Team collaboration","Adaptability","Attention to detail"]

We are seeking an Infrastructure Software Engineer to design and scale multi-cloud infrastructure for Scale GP, enabling the GenAI platform to run across AWS, Azure, and GCP. You’ll build distributed systems, integrate with customer data environments, and collaborate with platform, product, and customer teams to deliver high-velocity, production-ready infrastructure across San Francisco and New York offices.

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FursaFursa
Scale AI
Scale AI
6 months ago

Infrastructure Software Engineer, Enterprise GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

We are seeking an Infrastructure Software Engineer to design and scale multi-cloud infrastructure for Scale GP, enabling the GenAI platform to run across AWS, Azure, and GCP. You’ll build distributed systems, integrate with customer data environments, and collaborate with platform, product, and customer teams to deliver high-velocity, production-ready infrastructure across San Francisco and New York offices.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
  • •Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
  • •Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
  • •Deliver experiments at a high velocity and level of quality to engage our customers
  • •Work across the entire product lifecycle from conceptualization through production

Pay and Benefits

Salary: USD 216,200 - 270,250 annually
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •4+ years of full-time engineering experience, post-graduation
  • •Experience scaling products at hyper growth startups
  • •Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
  • •Proficient in Python or Javascript/Typescript, and SQL
  • •Experience with Kubernetes
Experience:4+ years
Skills:CommunicationProblem-solvingTeam collaborationAdaptabilityAttention to detail
Languages:English
Tech Stack:PythonJavaScriptTypeScriptSQLKubernetesAWSAzureGCPLLMsVector databases

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn