Model-Serving Infrastructure Engineer (On-Prem/Edge)

Palantir Technologies; Washington (District of Columbia); On-site; USD 145,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Paid time off

401(k) plan enrollment

Relocation assistance

Job summary

Palantir Technologies is looking for a software engineer specializing in machine learning infrastructure in Washington, D.C. You will design and maintain high-performance systems integrating AI capabilities with strict security measures.

The position requires strong coding skills, experience with containers, and a background in relevant engineering fields. Attractive salary range between $145,000 and $200,000 plus comprehensive benefits.

Join us to solve critical problems at the intersection of infrastructure and AI.

Qualifications

• 4+ years of experience building and operating production systems.
• Strong coding skills in Java, C++, Python, Rust, etc.
• Experience with containers and Kubernetes in production.

Responsibilities

• Build high-performance model-serving infrastructure.
• Design intelligent request handling for multi-tenant access.
• Develop observability for production AI systems.
• Debug complex issues across the stack.

Skills

Strong coding skills in programming languages (Java, C++, Python, Rust)

Engineering background (Computer Science, Mathematics, etc.)

Experience with containers and Kubernetes

Strong debugging skills

Ability to work across multiple languages and layers

Education

4+ years of professional software engineering experience

Bachelor's degree in a relevant field

Tools

Docker

Kubernetes

Job description

Palantir Technologies is looking for a software engineer specializing in machine learning infrastructure in Washington, D.C. You will design and maintain high-performance systems integrating AI capabilities with strict security measures.

The position requires strong coding skills, experience with containers, and a background in relevant engineering fields. Attractive salary range between $145,000 and $200,000 plus comprehensive benefits.

Join us to solve critical problems at the intersection of infrastructure and AI.