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
- 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, in environments you cannot always access directly
- Designing and running testing and benchmarking infrastructure that validates model deployments across varying GPU hardware before they reach production
- Working with product teams and customers to understand requirements, debug production issues, and deliver the models and capabilities they need
- Integrating hosted model infrastructure with Palantir's deployment, configuration, and identity systems
What We Value
- Ownership mindset and bias toward quality. Our software runs in environments where direct access for debugging is limited or unavailable.
- 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, from backend services and ML tooling to container orchestration and deployment configuration
- Strong debugging skills and motivation to trace problems from application code through containers, orchestration, and hardware
- Curiosity about emerging AI capabilities and the ability to quickly evaluate and integrate new models and technologies as the landscape evolves
- Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial, but 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 languages. 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 and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality
Salary
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Skills Required
- 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 languages
- Experience with containers, Kubernetes, and deploying backend services in production environments
- Strong written and verbal communication skills
Palantir Technologies Compensation & Benefits Highlights
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Fair & Transparent Compensation — Pay is considered competitive for core engineering and other key technical roles, with total compensation that compares favorably in major markets. Offers for these functions are often viewed as market-aligned and materially attractive.
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Healthcare Strength — Health coverage is described as comprehensive and high quality, contributing meaningfully to overall compensation satisfaction. Coverage breadth and employer support for medical needs are consistently emphasized in benefits descriptions.
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Equity Value & Accessibility — Equity forms a significant part of the package, providing meaningful upside through RSUs and related awards over multi-year schedules. When aligned with tenure and company performance, realized value can feel compelling.
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What We Do
At Palantir, we're helping the world's most important institutions use their data to solve their most urgent problems. Our software lets our customers integrate and analyze all of their data so they can answer questions that they couldn't before. From delivering disaster relief to building safer automobiles, we're honored to help make our partners better at their most important work. Together with our customers, we're building the future of national security, healthcare, energy, finance, manufacturing, and more. And we need bright minds from around the world to help us.
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