Scaled Cognition
Posted 121 days agoVerified live 1d ago
Software Engineer, Infrastructure
Brief overview
Mountain ViewIn-person
Deploying systems on major cloud platformsDesigning and implementing GPU infrastructureScalabilityDeveloping secure environmentsHighly reliable systemsContinuous learningAdapting to changing prioritiesNavigating technical ambiguityUser-focused solutions
About the company
Scaled Cognitionscaledcognition.com
The only frontier CX model that eliminates hallucinations. Design, evaluate, and deploy agents that create better customer experiences.
Job description
Summary
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. As a Software Engineer, Infrastructure, you will design and improve inference infrastructure for AI models and collaborate with research scientists and product engineers to enhance the end-to-end process from model development to production deployment.
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
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
