---
title: 'Sr. Staff Software Engineer, Managed Platform Services at Crusoe'
canonical: 'https://feeny.ai/job/sr-staff-software-engineer-managed-platform-services-crusoe-san-francisco-kb4bk4zdhwja'
type: 'job'
last_seen: '2026-10-16'
---

# Sr. Staff Software Engineer, Managed Platform Services at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Compensation:** $245k–$295k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-24
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/Crusoe/ccdaa39d-9a9a-4fbe-a27a-98b2522d6940/application

**Skills:** Distributed Systems, Go, Performance Engineering, Sharding, Replication, Consensus, Load Balancing, Concurrency, System Architecture, Disaster Recovery, Fault Isolation

> Anchor distributed systems depth and performance engineering across Crusoe Cloud’s Managed Platform Services. This floating technical leadership role ensures platform-scale architecture, operational excellence, and cross-domain influence while mentoring senior engineers.

## 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: We are seeking Sr. Staff Software Engineers to serve as the Managed Platform Services (MAPS) organization’s most senior floating technical leaders. This is not a domain-ownership role — you'll operate as part of a small, elite team of senior staff engineers deployed wherever the organization needs depth most: infrastructure scale-out, performance and reliability deep dives, new product exploration, customer-facing platform development, and cross-functional initiatives that span well beyond MAPS. You'll compress ambiguity into clarity, prototypes into products, and one team's solutions into org-wide leverage.

What You’ll Be Working On: Engagements rotate based on business priority. Representative examples:

- Data Center Scale-Out Automation: Design and drive automation for new on-prem server and site bring-up as Crusoe undergoes rapid, large-scale data center expansion — turning bring-up from a manual effort into a repeatable, optimized pipeline.
- Performance & Reliability Deep Dives: Deep dive every component within and beneath our managed services to find systemic opportunities for performance and reliability gains — sharding gaps, concurrency issues, thundering herds — and own them through resolution. Establish platform-wide benchmarks and ensure every domain is architected for 10x scale with HA, graceful degradation, and fault isolation built in from the start.
- Rapid Prototyping & Product Viability: Build POCs to evaluate viability of new platform capabilities — AI platforms, managed vector databases, managed relational databases — exploring the full solution space, not just the recommended path, so leadership can make build/extend/buy decisions faster.
- Customer & Product-Focused Development: Deep dive AI-native customer profiles (training and inference) to identify what features and intelligent insights — both rule-based and LLM-based — our platform can offer. Partner with customer success and solution engineering to identify missing customer-facing functionality and tooling that simultaneously improves the admin and support experience.
- Platform Architecture & Migrations: Investigate and scope high-leverage architectural shifts — e.g., migrating managed services between orchestration platforms (managed vs. internal Kubernetes, public cloud vs. on-prem), quantifying effort, trade-offs, and benefits before the org commits to one-way doors.
- Cross-Functional Initiatives: Drive initiatives spanning multiple orgs — e.g., full service isolation for managed services, or partnering with managed Kubernetes, storage, and networking teams to define a permanent air-gapped solution for customers and what it looks like as a managed service offering.
- Force Multiplication via AI & Tooling: Use AI to augment your own development and prototyping, and build tools and frameworks that multiply output across the entire org — including internal and customer-facing MCP servers — never limiting impact to a single team.
- Mentorship & Culture: Coach senior engineers and introduce systems that uplevel the team without requiring your direct involvement. Create an environment where it's safe to fail and set the team's reputation for being collaborative, responsive, and excellent.

What You’ll Bring to the Team:

- Distributed Systems Depth: Hands-on expertise designing and operating distributed systems at scale — sharding, replication, consensus, load balancing, concurrency. You've resolved the hard problems, not just read about them.
- Range: Comfort operating anywhere in the stack — from on-prem infrastructure bring-up to customer-facing product features — and switching contexts as priorities shift.
- Prototyping Speed: Proven ability to rapidly build high-fidelity prototypes across a range of technologies, exploring multiple approaches in parallel and knowing when good enough is the right call.
- AI-Augmented Development: You use AI tools to accelerate development, research, and decision-making — and you push their limits, building AI-powered tooling for others rather than just consuming it.
- Performance & Operational Excellence: You benchmark, profile, and fix. Customer-facing on-call experience required — you eliminate the conditions that cause incidents rather than just responding to them.
- Product Instincts: Ability to engage in ambiguous product spaces, ask the right questions, and translate fuzzy requirements into scoped, buildable increments tied to business outcomes.
- Cross-Functional Influence: Proven ability to drive technical outcomes across org boundaries without formal authority — earning trust through technical credibility, clear thinking, and consistent delivery.
- Communication: Exemplary. Right level of context, concise, checks for understanding, keeps stakeholders informed without being asked.
- Professional Experience: 10+ years of software development experience with significant time at staff level or above. Proficiency in Go or a modern compiled language (Go strongly preferred) and cloud-native infrastructure.

Benefits:

- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location

## Compensation Range

Compensation will be paid in the range of up to $250,000 -$300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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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