Talent.com
AI Infrastructure Engineer, Core Infrastructure
AI Infrastructure Engineer, Core InfrastructureScale Ai • San Francisco, California, United States
AI Infrastructure Engineer, Core Infrastructure

AI Infrastructure Engineer, Core Infrastructure

Scale Ai • San Francisco, California, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

As a Software Engineer on the ML Infrastructure team, you will design and build the next generation of foundational systems that power all ML Infrastructure compute at Scale - from model training and evaluation to large-scale inference and experimentation.

Our platform is responsible for orchestrating workloads across heterogeneous compute environments (GPU, CPU, on-prem, and cloud), optimizing for reliability, cost efficiency, and developer velocity.

The ideal candidate has a strong background in distributed systems, scheduling, and platform architecture, and is excited by the challenge of building internal infrastructure used across all ML teams.

You will :

  • Design and maintain fault-tolerant, cost-efficient systems that manage compute allocation, scheduling, and autoscaling across clusters and clouds.
  • Build common abstractions and APIs that unify job submission, telemetry, and observability across serving and training workloads.
  • Develop systems for usage metering, cost attribution, and quota management, enabling transparency and control over compute budgets.
  • Improve reliability and efficiency of large-scale GPU workloads through better scheduling, bin-packing, preemption, and resource sharing.
  • Partner with ML engineers and API teams to identify bottlenecks and define long-term architectural standards.
  • Lead projects end-to-end — from requirements gathering and design to rollout and monitoring — in a cross-functional environment.

Ideally you'd have :

  • 4+ years of experience building large-scale backend or distributed systems.
  • Strong programming skills in Python, Go, or Rust, and familiarity with modern cloud-native architecture.
  • Experience with containers and orchestration tools (Kubernetes, Docker) and Infrastructure as Code (Terraform).
  • Familiarity with schedulers or workload management systems (e.g., Kubernetes controllers, Slurm, Ray, internal job queues).
  • Understanding of observability and reliability practices (metrics, tracing, alerting, SLOs).
  • A track record of improving system efficiency, reliability, or developer velocity in production environments.
  • Nice to haves :

  • Experience with multi-tenant compute platforms or internal PaaS.
  • Knowledge of GPU scheduling, cost modeling, or hybrid cloud orchestration.
  • Familiarity with LLM or ML training workloads, though deep ML expertise is not required.
  • Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to : Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

    Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is :

    $179,400 - $310,500 USD

    PLEASE NOTE :   Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

    About Us :

    At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

    We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

    We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and / or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

    We comply with the United States Department of Labor's Pay Transparency provision .

    PLEASE NOTE : We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.

    [job_alerts.create_a_job]

    Infrastructure Engineer • San Francisco, California, United States

    [internal_linking.similar_jobs]
    Infrastructure Engineer

    Infrastructure Engineer

    Kernel • San Francisco, California, United States
    [job_card.full_time]
    AI agents use applications, starting with browsers.Our edge is an infrastructure platform that’s extensible, observable, and built for scale from day one. Our platform handles the hard stuff : spinni...[show_more]
    [last_updated.last_updated_variable_hours] • [promoted] • [new]
    Lead Cloud Infrastructure Engineer

    Lead Cloud Infrastructure Engineer

    Together Ai • San Francisco, California, United States
    [job_card.full_time]
    Together AI is hiring a Lead Cloud Infrastructure Engineer to own and operate the cloud foundation that powers our rapidly scaling data platforms. In this role, you will be the primary engineer resp...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior Core AI / ML Infrastructure Engineer Large-Scale Search

    Senior Core AI / ML Infrastructure Engineer Large-Scale Search

    Apple Inc. • San Francisco, CA, United States
    [job_card.full_time]
    A leading technology company is seeking an experienced software engineer for the AIML Core Infrastructure team in San Francisco. The role involves designing and operating large-scale backend systems...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Founding Infrastructure Engineer – AI Platform

    Founding Infrastructure Engineer – AI Platform

    on Kernel • San Francisco, CA, United States
    [job_card.full_time]
    A pioneering AI infrastructure company in San Francisco is looking for a Founding Infrastructure Engineer.This role focuses on architecting and building core systems for an AI agent platform.Candid...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Platform Engineer - AI WorldGen Infrastructure

    Platform Engineer - AI WorldGen Infrastructure

    Roam • San Francisco, CA, United States
    [job_card.full_time]
    A leading AI lab in the San Francisco area seeks an engineer to build core infrastructure for AI-driven game generation tools. This role requires experience with AWS and a strong background in appli...[show_more]
    [last_updated.last_updated_30] • [promoted]
    AI Infrastructure Engineer, Core Infrastructure

    AI Infrastructure Engineer, Core Infrastructure

    Scale AI • San Francisco, CA, United States
    [job_card.full_time]
    AI Infrastructure Engineer, Core Infrastructure.As a Software Engineer on the ML Infrastructure team, you will design and build the next generation of foundational systems that power all ML Infrast...[show_more]
    [last_updated.last_updated_30] • [promoted]
    AI Cloud Infrastructure Solutions Engineer

    AI Cloud Infrastructure Solutions Engineer

    Novita API • San Francisco, CA, United States
    [job_card.full_time]
    A high-growth AI cloud provider seeks a Solutions Engineer to act as a technical leader for customers.You will partner with sales, execute product demonstrations, and provide solutions that drive A...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    AI Infrastructure Engineer, Core Infrastructure

    AI Infrastructure Engineer, Core Infrastructure

    Scale AI, Inc. • San Francisco, CA, United States
    [job_card.full_time]
    As a Software Engineer on the ML Infrastructure team, you will design and build the next generation of foundational systems that power all ML Infrastructure compute at Scale - from model training a...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Infrastructure Engineer

    Infrastructure Engineer

    VirtualVocations • Oakland, California, United States
    [job_card.full_time]
    A company is looking for a Software Engineer, Infrastructure.Key Responsibilities Steward core platform services by implementing container orchestration, service mesh, ingress, and secrets manage...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior AI Compute Infrastructure Engineer

    Senior AI Compute Infrastructure Engineer

    HeyGen • San Francisco, CA, United States
    [job_card.full_time]
    A tech company specializing in AI infrastructure is seeking a Software Engineer to build a scalable compute platform for its generative video models. The ideal candidate will have over 5 years of ex...[show_more]
    [last_updated.last_updated_30] • [promoted]
    MTS, Infrastructure Engineer

    MTS, Infrastructure Engineer

    Delphina • San Francisco, California, United States
    [job_card.full_time]
    Today’s Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with coun...[show_more]
    [last_updated.last_updated_30] • [promoted]
    AI Research Infrastructure Engineer

    AI Research Infrastructure Engineer

    Block • San Francisco, California, United States
    [job_card.full_time]
    Each of our brands unlocks different aspects of the economy for more people.Together, we're helping build a financial system that is open to everyone. Block is scaling Customer Insights into an AI-p...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Infrastructure Engineer

    Infrastructure Engineer

    Vibecode • San Francisco, California, United States
    [job_card.full_time]
    We're democratizing software creation.Our platform lets anyone describe an idea and instantly turn it into a working application—no coding required. We're solving one of computing's fundamental chal...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior Infrastructure Engineer - AI

    Senior Infrastructure Engineer - AI

    Open Select • San Francisco, CA, United States
    [job_card.full_time]
    Senior Infrastructure Engineer.Location : On-site, San Francisco, CA (3 days / week in office) Salary : $150k – $200k + equity Industry : AI, Cloud Infrastructure. Join a fast-growing AI startup backed b...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior AI Infrastructure Engineer

    Senior AI Infrastructure Engineer

    Salesforce • San Francisco, CA, United States
    [job_card.full_time]
    A leading cloud technology company in San Francisco is looking for an experienced software engineer to join their team.You will design and maintain the infrastructure that supports the company's se...[show_more]
    [last_updated.last_updated_variable_hours] • [promoted] • [new]
    Platform Engineer : Core Infrastructure

    Platform Engineer : Core Infrastructure

    Slash • San Francisco, CA, United States
    [job_card.full_time]
    Slash is building the future of business banking, one industry at a time.We believe businesses deserve financial infrastructure tailored to how they actually operate. That's why we're creating a new...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Infrastructure Engineer

    Infrastructure Engineer

    Tamarind Bio • San Francisco, California, United States
    [job_card.full_time]
    We enable any scientist to access AI-powered drug discovery.Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improv...[show_more]
    [last_updated.last_updated_variable_hours] • [promoted] • [new]
    AI Inference Infrastructure Engineer

    AI Inference Infrastructure Engineer

    Thinking Machines Lab Inc. • San Francisco, CA, United States
    [job_card.full_time]
    A leading AI research organization seeks an Infrastructure Research Engineer in San Francisco to optimize and scale systems powering large AI models. This role emphasizes enhancing inference speed, ...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]