AI Infrastructure Engineer, Model Serving Platform

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design.

You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. You will: Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale. Build an internal platform to empower LLM capability discovery.

Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. Conduct architecture and design reviews to uphold best practices in system design and scalability. Develop monitoring and observability solutions to ensure system health and performance.

Requirements

gathering to implementation, in a cross-functional environment. Ideally you'd have: 4+ years of experience building large-scale, high-performance backend systems. , Python, Go, Rust, C++).

g. ) Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. , Docker, Kubernetes).

, Terraform). Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.

Compensation

packages at Scale for eligible roles include base salary, equity, and

, 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.

Benefits

. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience,

including, but not limited to: comprehensive health, dental and vision coverage, retirement

, a learning and development stipend, and generous PTO.

such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located.

Qualifications

, interview performance, and relevant education or training.

Pay Transparency

purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000 $225,000 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. S. government agencies including the Army and Air Force.