Palantir
Dev
SoftwareEngineer-HostedModelInfrastructure
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer - Hosted Model Infrastructure at Palantir. Skills: Model infrastructure, MLOps, Production systems. Build model serving infrastructure. Design request handling”
What You'll Achieve.
Deliver new models quickly; Deliver capabilities continuously
Industry & Context.
Debugging skills; Trace problems
US Security clearance
What They're Looking For.
Must Have
4+ years software engineering experience, Engineering background, Proficiency in programming languages, Experience with containers, Experience with Kubernetes, Experience deploying backend services, Written communication skills, Verbal communication skills
Nice to Have
Familiarity with Python ML ecosystem, Active US Security clearance, Eligibility for US Security clearance, Willingness to obtain US Security clearance
What You'll Do.
Build model serving infrastructure
Design request handling
Build deployment pipelines
Develop observability for AI systems
Debug performance problems
Design testing infrastructure
Run benchmarking infrastructure
Validate model deployments
Work with product teams
Understand requirements
Debug production issues
Integrate hosted model infrastructure
How You'll Work.
Team & Collaboration
Work across multiple languages; Iterate quickly with teammates
Communication Scope
Written communication; Verbal communication
Full Job Description
## Description A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. ## Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub ## Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency control, and audit logging for multi-tenant model access Bui
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