---
title: 'Senior QA Engineer, Client Interfaces at Crusoe'
canonical: 'https://feeny.ai/job/senior-qa-engineer-client-interfaces-crusoe-san-francisco-m5nzrby0g8r9'
type: 'job'
last_seen: '2026-11-06'
---

# Senior QA Engineer, Client Interfaces at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/crusoe/0027f489-8720-4bba-ba86-23d16799541e

## 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: The Client Interfaces team owns every surface customers and internal users touch when they use Crusoe Cloud: the Console and Admin Console, customer and admin CLIs, MCP servers, the Terraform provider, our docs, and the Intelligence Foundry / AI Studio. We're the glue between product, design, and the platform teams that power Crusoe Cloud.

In 2026 our focus is one experience, one quality bar across every surface; a shared design system, a single API/CLI style guide extended to MCP and Terraform, and a foundation solid enough to support the polish, defaults, and micro-interactions that make a developer cloud feel great to use.

You'd be the first dedicated quality engineer on the team, and the person who defines what "one quality bar" means in practice.

What You'll Be Working On:

- Test Strategy Ownership: Own end-to-end test strategy across the Console, CLIs, Terraform provider and MCP servers. This includes Playwright E2E suites, Go-based integration and acceptance tests (with real plan/apply/destroy lifecycles through terraform-plugin-testing), and contract tests against generated API clients.
- Framework Development: Build automation frameworks from scratch and keep them reliable through parallel execution, flakiness reduction and GitHub Actions CI integration, so a red build always means a real bug.
- Cross-Surface Consistency: Verify that features shipping to Console, CLI, Terraform and MCP at the same time behave like one product, and build harnesses that catch drift automatically.
- Release Readiness: Define quality gates and release criteria with engineering and product, balancing shipping speed against reliability.
- AI-First Testing: Use agents to generate test suites from OpenAPI specs and tickets, review AI-generated tests to make sure the assertions are meaningful, and use AI triage to separate real failures from flakes.
- Exploratory Testing: Cover what automation can’t, including micro-interactions, empty states, error copy, accessibility, upgrade paths and docs that don’t match the product.
- Complex Problem Solving: Tackle issues that span every surface, such as breaking-change management in the Terraform provider, API contract changes that ripple through generated clients, and design system migrations.
- Coaching and Collaboration: Help software engineers get better at test design through code review and pairing, and work directly with design, product and platform teams.
- Measurable Quality: Turn “this should feel great to use” into concrete, testable criteria the team can build against.

What You'll Bring to the Team:

- Quality Engineering Experience: 5+ years in quality engineering, test automation or SDET roles on customer-facing products.
- Framework Building: You’ve built, or helped build, a TypeScript automation framework from scratch and run it in CI. You can talk specifics about parallelization, retries, network interception, flakiness and what you’d do differently next time.
- Testing Beyond the Browser: You’re comfortable testing HTTP APIs, CLIs and infrastructure tooling, and you’re willing to ramp up on Go and Terraform provider acceptance testing.
- AI Tool Fluency: You use AI coding and testing tools (Claude Code or similar agents) every day to generate and maintain suites. You know where their output falls short and can teach others to use them well.
- Exploratory Instinct: You find the bug the suite missed, then decide whether it’s worth automating.
- Clear Written Communication: Your bug reports, test plans and release notes stand on their own.

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 $170,000 -$205,000 + 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)

## Other roles at Crusoe

- [Staff Software Engineer, AI Model Lifecycle](https://feeny.ai/job/staff-software-engineer-ai-model-lifecycle-crusoe-san-francisco-3918za8e9e1h) — San Francisco, CA / United States
- [Chief of Staff (Internal)](https://feeny.ai/job/chief-of-staff-internal-crusoe-san-francisco-bwkm4fm3s4sa) — San Francisco, CA / United States
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-crusoe-san-francisco-qrfygkwp3rwj) — San Francisco, CA / United States
- [Senior Technical Sourcing Manager, Fiber](https://feeny.ai/job/senior-technical-sourcing-manager-fiber-crusoe-bellevue-wyvbb6jrpc2m) — Bellevue, WA / United States
- [Senior Asset Analyst, Supply Chain](https://feeny.ai/job/senior-asset-analyst-supply-chain-crusoe-denver-vc7357r6rbt7) — Denver, CO / United States
- [Senior Asset Analyst, Supply Chain](https://feeny.ai/job/senior-asset-analyst-supply-chain-crusoe-san-francisco-hakbnyhhqfsv) — San Francisco, CA / United States
- [Associate, Capital Markets](https://feeny.ai/job/associate-capital-markets-crusoe-san-francisco-fxjyaaymqs4r) — San Francisco, CA / United States
- [Senior Financial Analyst, Headcount & OpEx Planning](https://feeny.ai/job/senior-financial-analyst-headcount-opex-planning-crusoe-bellevue-bm7y7n3p3kej) — Bellevue, WA / United States
- [Staff Quality Control (QC) Engineer](https://feeny.ai/job/staff-quality-control-qc-engineer-crusoe-childress-88wv4gkyhqw4) — Childress, TX / United States
- [Senior Staff Quality Control (QC) Engineer](https://feeny.ai/job/senior-staff-quality-control-qc-engineer-crusoe-warrenton-0cwaz2xgkaj7) — Warrenton, MO / United States