AI Infrastructure Engineer, Core Infrastructure at Scale AI

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 youd 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. Youll 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 postings 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:$179400 - $310500 USDPLEASE 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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Please see the United States Department of Labors Know Your Rights poster for additional information.We comply with the United States Department of Labors 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. Key Skills Jenkins,Ruby,Python,Active Directory,Cloud,PowerShell,Windows,AWS,Linux,SAN,Java,Troubleshoot,Backup,Puppet,hardware Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 179400 - 310500