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Staff Production Engineer, Compute
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Crusoe Energy·San Francisco, CA - US·13 июля

Staff Production Engineer, Compute

🏢 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

Наши требования

8+ years of professional experience in Compute SRE, Linux system engineering, or compute infrastructure roles
Strong proficiency in Linux kernel internals, with exposure to scheduler, memory allocation, and driver subsystems
Experience with virtualization architectures and technologies such as KVM, Xen, QEMU, or VMware
Familiarity with SmartNICs/DPUs (e.g., NVIDIA CX6/7, BlueField-3) and kernel bypass techniques
Expert-level skills in at least one programming language: Go, C or Rust
Experience with system-level debugging, including kdump, kexec, and kernel panic analysis
Proficiency in Infrastructure as Code tooling and CI/CD practices for bare-metal or cloud infrastructure
Strong understanding of compute scheduling, resource management, and high-throughput networking
Experience porting or maintaining custom Linux distributions or kernels for specific platforms
Exposure to AI model infrastructure and workload orchestration across GPU clusters
Contributions to Linux kernel, KVM, or other low-level infrastructure projects

Мы предлагаем

Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
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
Compensation will be paid in the range of $209,000 – $253,000 + 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

Дополнительно

At Crusoe Energy Systems, we are building the most sustainable, AI-first cloud infrastructure, and our Compute-focused Production Engineers are the backbone of that mission. This role is centered on supporting virtualization, hypervisor, and kernel-level performance for Crusoe’s compute infrastructure. You’ll play a vital role in deploying and optimizing bare-metal and virtualized compute platforms, ensuring performance, security, and scale for modern AI and HPC workloads
In this role, you will develop automation and observability tools to monitor Crusoe’s compute infrastructure, spanning from the kernel to orchestration layers. You will support and scale the company’s virtualization stack, including technologies such as KVM, QEMU, and other hypervisors. Collaborating with Linux kernel and hardware teams, you’ll help identify and resolve performance bottlenecks, driver issues, and optimize hardware offloads. A key focus will be on optimizing performance for AI and HPC workloads across CPU, GPU, and DPU/NIC resources. You will participate in root cause analysis for kernel crashes, hardware-software integration problems, and performance regressions, while also integrating hypervisor-level enhancements to improve guest VM reliability and workload isolation. The role involves tuning kernel subsystems such as the process scheduler, NUMA configuration, memory management, and interrupt handling. Additionally, you will work closely with platform teams to implement and validate support for emerging compute hardware, including SmartNICs, BlueField devices, and TPUs
C
Crusoe Energy
San Francisco, CA - US

ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано13 июля
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