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Senior Staff Deployment Automation Engineer
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Crusoe Energy·San Francisco, CA - US·13 авг.

Senior Staff Deployment Automation Engineer

🏢 ОфисSeniorПолная занятость
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Наша компания

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

О роли

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 partne

Чем предстоит заниматься

As a Senior Staff/Principal Deployment Automation Engineer for the Compute Team, you will be responsible for deployment and testing automation of large-scale, multi-node GPU clusters. You will own the CI/CD infrastructure, including both deployment and integration testing, for a rapidly scaling fleet of virtualized GPU and CPU hosts across our AI Cloud. Your role is critical in ensuring the stability of the low-level infrastructure and enabling teams across our Cloud Infrastructure organization to quickly and reliably release, test, and deploy their artifacts across our datacenters
San Francisco, Sunnyvale, Bellevue (Onsite)
Deployment and Integration Testing Ownership: Completely own deployment and integration testing automation for all bare-metal, on-premise systems across Crusoe’s AI Cloud Stack
CI/CD Automation and Tooling: Build CI/CD platforms that enable developers to quickly test, iterate, and deploy critical, low-level systems and applications
Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads
Configuration Management and Observability: Maintain and scale bare-metal Linux configurations using a mix of custom and off the shelf tooling such as Gitlab, Ansible, AWX, osquery, etc
Deployment Orchestration: Create control applications to coordinate canary deployments on live production systems, run Blue/Green testing, and perform automatic rollback where necessary
Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments
Create automated test suites leveraging tools like fio, stress-ng, and iperf to ensure performance and multi-tenant isolation of CPU and GPU hosts

Наши требования

Education & Experience: 12+ YOE demonstrated ability to competently and independently perform responsibilities plus Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field
Experience building and deploying automated integration testing for an AI Cloud Environment, ranging from low-level Linux Systems up to Distributed Control Planes
Working knowledge of the modern infrastructure stack, including Kubernetes, Docker, Terraform, and Postgres
CI/CD & Gitlab: Intimate knowledge of CI/CD pipelines and Gitlab Tooling to enable stable infrastructure releases across multiple datacenters
Configuration Management: Previous experience with at least 1-2 configuration management systems, including Ansible, Puppet, Chef, or SaltStack
Automation & Scripting: Advanced proficiency in Python and/or Bash for automating complex cluster-wide test scenarios
System Internals: Knowledge of Linux kernel internals, specifically PCIe topology, VFIO, and memory management (HugePages, IOMMU)
Distributed GPU Ecosystems: Familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks in a multi-node context
Networking Knowledge: Strong understanding of RDMA, RoCE, and InfiniBand protocols and their implementation in virtualized systems
Experience with MNNVL (Multi-Node NVLink) or specialized AI fabric architectures
Familiarity with hardware-level debugging tools and performance profilers (e.g., NVIDIA Nsight, AMD Omniperf)
Knowledge of containerized orchestration for GPUs (e.g., Kubernetes with specialized device plugins)

Мы предлагаем

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 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
C
Crusoe Energy
San Francisco, CA - US

ГрейдSenior
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано13 авг.
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