Senior AI Infrastructure Engineer Training Platform

As a Software Engineer on the Machine Learning Infrastructure team you will build the Operating System for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the worlds most advanced models.

The ideal candidate is a systems expert who thrives on solving the orchestration networking and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless resilient environment that transforms raw compute into breakthrough AI.

You will:

• Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters ensuring high utilization and seamless job recovery.
• Design and implement scheduling primitives to optimize the lifecycle of training jobs.
• Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
• Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray Kueue) making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
• Work closely with Finance and Procurement teams to drive our capacity planning process.
• Participate in our teams on call process to ensure the availability of our services.
• Own projects end-to-end from requirements scoping design to implementation in a highly collaborative and cross-functional environment.

Ideally youd have:

• 5 years of experience in backend or infrastructure engineering with at least 2 years focused on orchestrating ML workloads at scale (100 GPU nodes).
• Strong programming skills in one or more languages (e.g. Python Go Rust C)
• Experience with complex compute management systems that cover queueing quotas preemption and gang scheduling.
• Experience with distributed training infrastructure such as EFA Infiniband and topology-aware scheduling.
• Experience with distributed storage systems (e.g. Lustre S3) as they relate to training throughput
• Expert-level knowledge of Kubernetes internals (Custom Resources Operators Admission Controllers) and how they interact with device plugins for specialized hardware.
• Familiarity with cloud infrastructure (AWS GCP) and infrastructure as code (e.g. Terraform).
• Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

• Experience with distributed training techniques such as DeepSpeed FSDP etc.
• Experience with the NVIDIA software and hardware stack (CUDA NCCL)
• Experience with PyTorch
• Familiarity with post-training algorithms such as GRPO and with Reinforcement Learning

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 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.