AI Infrastructure Engineer, Model Serving Platform

Scale AI, Inc.; New York (NY); On-site; USD 180,000 - 225,000; Full time

Benefits offered by this job

Comprehensive health coverage

Equity compensation

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. in New York is looking for a Software Engineer on the ML Infrastructure team to design and build robust platforms for serving LLMs. This role involves collaborating with researchers and applying backend system design principles to launch solutions that enhance innovation.

The ideal candidate will possess experience in developing high-performance systems while ensuring scalability and reliability. Benefits include comprehensive health coverage, equity compensation, and generous PTO.

Qualifications

• 4+ years of experience building large-scale, high-performance backend systems.
• Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
• Experience with LLM serving and routing fundamentals.
• Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code.

Responsibilities

• Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale.
• Collaborate with researchers and engineers to integrate and optimize models.
• Conduct architecture and design reviews to ensure best practices.
• Develop monitoring solutions to ensure system health.

Skills

Backend Systems

Python

Go

Rust

C++

Containers

Cloud Infrastructure

Terraform

Tools

Docker

Kubernetes

Job description

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.

Responsibilities

• 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.

Qualifications

• 4+ years of experience building large‑scale, high‑performance backend systems.
• 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).
• Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates.
• Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
• 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 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 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, qualifications, 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 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.

For 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.

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 comply with the United States Department of Labor's Pay Transparency provision.