AI Infrastructure Engineer, Model Serving Platform

Навыки

• AI-агенты
• AWS
• C++
• CUDA / ONNX / TensorRT
• Docker
• Google Cloud
• Kubernetes

О компании и продукте

• 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, Ernst & Young, 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 .

Задачи

• 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
• Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment
• As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs

Требования

• 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
• 4+ years of experience building large-scale, high-performance backend systems
• Proven ability to solve complex problems and work independently in fast-moving environments

Будет плюсом

• Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)
• Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.)
• Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc
• Experience with containers and orchestration tools (e.g., Docker, Kubernetes)
• Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)
• Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference
• 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
• 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

Условия

• 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 and may be inclusive of several career levels at Scale
• 180,000 — $225,000 USD

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