AI Infrastructure Engineer, Core Infrastructure

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 Infrastructure compute at scale—from model training and evaluation to large‑scale inference and experimentation. Our platform orchestrates workloads across heterogeneous environments (GPU, CPU, on‑prem, and cloud), optimizing for reliability, cost efficiency, and developer velocity.

Responsibilities

• 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.

Qualifications

Nice to haves

Compensation and Benefits

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.

We interpret the pay transparency as follows : base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is $179,400—$310,500 USD.

Equal Employment Opportunity

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. We comply with the United States Department of Labor's Pay Transparency provision. 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 privacy policy for additional information.

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