---
title: 'Senior Production Engineer, Managed AI at Crusoe'
canonical: 'https://feeny.ai/job/senior-production-engineer-managed-ai-crusoe-san-francisco-hgk4tkfsjcqa'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Production Engineer, Managed AI at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Compensation:** $209k–$253k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-01
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/Crusoe/96d29d17-1357-486e-bf87-ca315d59b344/application

**Skills:** Python, Go, Java, C++, Kubernetes, Distributed systems design, LLM infrastructure, SLI/SLO definition, Monitoring and observability systems, Fault-tolerant system design, Experience scaling inference or training workloads for LLMs

> Crusoe seeks a Senior Production Engineer to ensure the reliability and scalability of its AI-optimized cloud platform. The role involves designing managed AI services, building automation tooling, and optimizing distributed systems for large-scale LLM workloads.

## Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About the Role: At Crusoe, our Production Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Senior Production Engineer with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers.

What You’ll Work On:

- Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads
- Build automation and reliability tooling to support distributed AI pipelines and inference services
- Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met
- Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters
- Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services
- Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling
- Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments

What You’ll Bring:

- Strong software engineering background — experience building production-grade systems beyond scripting or Bash
- Demonstrated experience in distributed systems design and implementation
- Hands-on work with large language models (LLMs) or AI/ML infrastructure
- SRE mindset and experience (whether or not under the SRE title) including:
- Defining and measuring SLIs/SLOs
- Building monitoring and observability systems
- Driving performance and reliability improvements
- Designing fault-tolerant systems and automated testing strategies
- Proficiency in at least one modern programming language (Python, Go, Java, C++)
- Familiarity with Kubernetes or container orchestration platforms
- Strong collaboration and communication skills
- Ability to thrive in a fast-paced, mission-driven environment

Bonus Points:

- Experience scaling inference or training workloads for LLMs

Benefits:

- Industry competitive pay
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit; $300 per month

Compensation: Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

## About Crusoe

## Company Overview
- **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads.
- **Entity Type**: Private (Series E)
- **Headquarters**: Denver, Colorado, USA
- **Founded**: 2018
- **Founders**: Chase Lochmiller and Cully Cavness

## Core Business
- Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy
- Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B)
- **Mission**: "Accelerate the abundance of energy and intelligence."

## Products & Services
- **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%.
- **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management.
- **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads.
- **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers.
- **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company).
- **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M).
- **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers.
- **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office.

## Competitive Advantages
- **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy.
- **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform.
- **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure.
- **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction).

## Strategic Focus
- **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe.
- **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure.
- **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report.
- **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack.

## Why Work Here
- **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey).
- **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader.
- **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact.
- **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel).
- **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks.
- **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process.

## Sources
1. [crusoe.ai](https://www.crusoe.ai/)
2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers)
3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture)
4. [crusoe.ai/about/company](https://www.crusoe.ai/about/company)

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