1 month ago
Base Salary
$170k - $205k/yr
Responsibilities
- Develop deployment and integration-testing applications for bare-metal, on-premise systems across the AI Cloud stack.
- Build CI/CD platforms and tooling for testing, iterating, and deploying low-level infrastructure systems and applications.
- Design and execute large-scale validation tests across multi-node virtualized clusters for GPU workload scaling and stability.
- Maintain and scale bare-metal Linux configurations using GitLab, Ansible, osquery, and related tooling.
- Create deployment orchestration applications supporting canary deployments, blue/green testing, and automatic rollback.
- Develop Python or Go automation frameworks to provision, configure, and stress-test multi-node virtualized environments.
- Create automated performance and isolation test suites for CPU and GPU hosts using fio, stress-ng, and iperf.
Requirements
- At least 5 years of experience independently performing the role’s responsibilities.
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience building and deploying automated integration testing from low-level Linux systems through distributed control planes.
- Experience designing and deploying end-to-end microservice applications in distributed cloud environments.
- Strong understanding of how compute, network, and storage resources are abstracted and managed in IaaS environments.
- Working knowledge of Kubernetes, Docker, Terraform, and Postgres.
- Deep knowledge of CI/CD pipelines and GitLab tooling for infrastructure releases across multiple datacenters.
- Experience with one or more configuration management systems, including Ansible, Puppet, Chef, or SaltStack.
- Knowledge of Linux kernel internals, including PCIe topology, VFIO, HugePages, IOMMU, and memory management.
- Preferred experience with NVIDIA CUDA/NCCL or AMD ROCm/RCCL in multi-node environments.
- Preferred knowledge of RDMA, RoCE, InfiniBand, MNNVL, specialized AI fabrics, GPU device plugins, and hardware-level debugging or profiling tools such as NVIDIA Nsight and AMD Omniperf.
Benefits
- Competitive compensation and equity packages, including Restricted Stock Units and a bonus opportunity.
- Paid time off, paid holidays, leave programs, paid parental leave, and volunteer time off.
- Comprehensive health, dental, and vision insurance, plus HSA contributions and mental health and wellness support.
- Paid life insurance, short-term and long-term disability coverage, and global travel insurance with emergency assistance.
- Professional development and tuition reimbursement.
- Commuter benefits, cell phone stipend, daily meals allowance, and location-specific perks.
- 401(k) retirement plan with company match up to 4% of salary.
Tech Stack
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.