Software Engineer, Infrastructure

Scaled Cognition; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Scaled Cognition is pioneering agentic AI for enterprise CX workflows. We seek a Software Engineer, Infrastructure to design and improve inference infrastructure and optimize latency across the stack.

You will collaborate with researchers and product engineers to move models from development to production deployments, ensuring scalable, reliable systems. Ideal candidates will have hands-on experience with cloud platforms and GPU tooling, and excel in navigating ambiguity while delivering

Qualifications

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

Responsibilities

• 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.

Skills

Cloud platforms

GPU infrastructure

Scalability & reliability

Tools

GPU tooling

Job description

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 at Scaled Cognition 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.