Latest AI JobsBrowse Jobs
Crusoe logo

Senior Production Engineer, Managed AI

CrusoeSan Francisco, CA - USCloud Engineering
Apply on company site
Salary
$170K - $205K USD
Job type
Full-time
Posted
1 Jun 2026
Status
Open · checked 7d ago

About this role

Crusoe is seeking a full-time Senior Production Engineer, Managed AI to join the Cloud Engineering team in San Francisco, California. This role suits an experienced engineer with a strong background in distributed systems and large language models who wants to build reliable, high-performance AI infrastructure.

Role Overview

The Production Engineering team at Crusoe is dedicated to maintaining the reliability and scalability of the company's AI-optimized cloud platform. As a Senior Production Engineer for Managed AI, the professional will focus on operating and scaling managed artificial intelligence services. This position plays a critical role in delivering dependable, high-performing, and cost-effective AI infrastructure designed to handle compute-intensive and latency-sensitive customer workloads.

Key Responsibilities

Design and operate reliable managed AI services with a primary focus on serving and scaling large language model workloads.
Construct automation and reliability tooling that supports distributed AI pipelines and inference services.
Establish, measure, and enhance service level indicators and objectives to meet strict performance and reliability goals.
Partner closely with AI, platform, and infrastructure teams to optimize massive training and inference clusters.
Automate observability by developing telemetry and performance tuning strategies for sensitive AI services.
Troubleshoot and resolve reliability challenges within distributed AI systems utilizing logs, telemetry, and profiling tools.
Contribute to architectural designs for next-generation distributed systems built specifically for AI environments.

Requirements

Strong software engineering foundation with production-grade systems experience beyond simple scripting.
Demonstrated practical expertise in the design and implementation of distributed systems.
Hands-on experience working directly with large language models or AI and machine learning infrastructure.
Site reliability engineering mindset encompassing SLI and SLO definition, monitoring system development, and reliability enhancements.
Experience designing fault-tolerant systems and implementing automated testing strategies.
Proficiency in at least one modern programming language such as Python, Java, C++, or Go.
Familiarity with Kubernetes and container orchestration platforms.
Excellent communication skills and the ability to thrive in a mission-driven, fast-paced work setting.

Nice to Have

Practical background in scaling training or inference workloads specifically for large language models.

Skills and Tools

Python
Kubernetes
Java
C++
Large Language Models (LLMs)
Distributed Systems
SRE Methodologies

Salary and Benefits

Annual compensation ranging from $170,000 to $205,000 in USD.
Restricted Stock Units included with all offers in a fast-growing, well-funded organization.
Health insurance packages featuring HDHP, PPO, dental, and vision coverage for employees and dependents.
Employer contributions toward Health Savings Accounts.
Paid parental leave, life insurance, and disability coverage.
Telehealth services through Teladoc and a 401(k) plan with a 100% match up to 4% of salary.
Generous paid time off and scheduled holidays.
Reimbursements for cell phones, tuition, commuter benefits up to $300 per month, and a Calm app subscription.

About the Company

Crusoe operates as a vertically integrated artificial infrastructure company that owns and manages every layer of the stack, ranging from electrons to tokens. The organization focuses on solving boundless AI compute demands through an energy-first approach that makes infrastructure more sustainable and faster for innovators.

How to Apply

Interested candidates should visit the official Crusoe careers page to submit an application for this position.

Skills and tech stack

PythonKubernetesJavaC++LLM

Questions candidates ask

What is the salary range for the Senior Production Engineer, Managed AI role?

The annual salary ranges from $170,000 to $205,000, and all offers include Restricted Stock Units.

Where is this job located?

This position is based in San Francisco, CA, and is a full-time, on-site role within the Cloud Engineering department.

What programming languages are required or expected?

Candidates must be proficient in at least one modern programming language, including Python, Go, Java, or C++.

What specific cloud or container tools are needed?

Familiarity with Kubernetes or other container orchestration platforms is required for this position.

What benefits are provided with this position?

Benefits include health insurance options, employer HSA contributions, 401(k) matching up to 4%, paid parental leave, tuition reimbursement, commuter benefits, and paid time off.

Ready to apply?

The application is on the official Crusoe careers page.

Apply on company site