Software Engineer - Hosted Model Infrastructure

The Role

We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in a 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.

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.

Technologies We Use

• Backend languages including Java, Rust, Python, and Go
• Model serving engines for GPU-accelerated inference
• Docker and Kubernetes for containerization and orchestration
• 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
• Building and maintaining packaging and deployment pipelines enabling fast, secure, and reliable model rollouts across on-premises and air-gapped environments
• Developing observability for production AI systems to enable easy service monitoring and fast incident triage and resolution
• Debugging complex issues and performance problems throughout the stack, including open source inference engines, container runtimes, and GPU drivers
• Designing and running testing and benchmarking infrastructure that validates model deployments across varying GPU hardware before production
• Working with product teams and customers to understand requirements, debug production issues, and deliver required models and capabilities
• Integrating hosted model infrastructure with Palantir's deployment, configuration, and identity systems

What We Value

• Ownership mindset and bias toward quality in restricted-access environments
• High empathy for customer needs and drive to deliver reliable, easy-to-use models
• Ability to work effectively across multiple languages and layers of the stack
• Strong debugging skills from application code through containers, orchestration, and hardware
• Curiosity about emerging AI capabilities and rapid evaluation of new models
• Active US Security clearance, or eligibility and willingness to obtain one (beneficial, not necessary)

What We Require

• 4+ years of professional software engineering experience building and operating production systems
• Engineering background in Computer Science, Mathematics, Software Engineering, Physics, or similar field
• Strong coding skills with demonstrated proficiency in programming languages such as Java, C++, Python, Rust, or similar (familiarity with the Python ML ecosystem is valuable)
• Experience with containers, Kubernetes, and deploying backend services in production environments
• Strong written and verbal communication skills