Software Engineer, Infrastructure

Scaled Cognition; Boston (MA); On-site; USD 130,000 - 350,000; Full time

Job summary

A leading AI technology firm in Boston seeks a Software Engineer specializing in infrastructure. This role involves designing and enhancing AI models' infrastructures, monitoring performance metrics to drive improvements, and collaborating with scientists and engineers. Candidates should have cloud platform experience (AWS, GCP, Azure) and a background in GPU tooling. Ideal for those thriving in dynamic settings focused on delivering quality solutions. Full-time role with competitive compensation and opportunities for advancement.

Qualifications

• Experience deploying systems on major cloud platforms (AWS, GCP, Azure).
• Prior experience designing and implementing GPU infrastructure/tooling.
• Strong sense for scalability and developing secure, highly reliable environments.

Responsibilities

• Design and improve inference infrastructure that powers AI models.
• Benchmark, profile, monitor, and analyze latency and throughput for improvements.
• Collaborate to streamline process from model development to production.

Skills

Continuous learner

Adaptability to dynamic environments

Focus on high-quality solutions

Tools

AWS

GCP

Azure

GPU infrastructure

Job description

This range is provided by Scaled Cognition. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $350,000.00/yr

Additional compensation types

Annual Bonus and RSUs

Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action‑taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real‑world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world‑class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy‑aligned automation that enterprises can trust.

As a Software Engineer, Infrastructure you will:

• Design and improve inference infrastructure that powers our AI models.
• Benchmark, profile, monitor and analyze latency and throughput and drive improvements throughout the stack.
• Collaborate with research scientists and product engineers to streamline the end‑to‑end process from model development to production deployment.

You might be the right person for the job if you:

• Are a continuous learner and are eager to explore new tools and technologies.
• Thrive in a dynamic environment and are comfortable adapting to changing priorities while maintaining a focus on delivering high‑quality solutions.Have successfully navigated projects with significant product and technical ambiguity, and you excel at the intersection of complex technical challenges and user‑focused solutions.

Key Qualifications

• Experience deploying systems on major cloud platforms (AWS, GCP, Azure).
• Prior experience designing and implementing GPU infrastructure / tooling.
• A strong sense for scalability and developing secure, highly reliable environments.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Technology, Information and Internet

Referrals increase your chances of interviewing at Scaled Cognition by 2x

Get notified about new Software Engineer jobs in Greater Boston.