Staff/Senior Staff Software Engineer - Cloud Hypervisor R&D at Crusoe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI Infrastructure, Cloud ComputingIndustries

Requirements

Proven deep knowledge of hypervisor internals (e.g., KVM, QEMU, Xen, or other bare-metal hypervisors), including CPU virtualization (VT-x/AMD-V), memory virtualization (EPT/NPT, MMU), and I/O virtualization (SR-IOV, virtio)
Strong understanding of virtual machine lifecycle, live migration, snapshotting, and fault tolerance mechanisms
Experience with Linux kernel internals as they pertain to virtualization, including device drivers, memory management

Responsibilities

Design, develop, and optimize core hypervisor components (e.g., KVM, QEMU, or custom solutions) to achieve maximum performance and efficiency for AI workloads, focusing on CPU, memory, and I/O virtualization techniques
Conduct in-depth research into advanced virtualization technologies, exploring novel approaches for isolating and accelerating AI compute, storage, and networking resources; identify and prototype new virtualization features and enhancements to improve density, throughput, and latency
Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI accelerators (e.g., GPUs, DPUs) within the virtualized environment
Analyze and enhance the performance of the entire virtualization stack, from the hypervisor to the virtualized guest OS, with a specific focus on optimizing for AI/ML workloads, including profiling, bottleneck identification, and implementing low-level optimizations
Diagnose and resolve complex system issues within the virtualization layer; work closely with hardware and guest OS teams to debug and resolve integration challenges
Conduct thorough code reviews to ensure the highest level of software quality, reliability, and security within the hypervisor and virtualization components
Collaborate with other engineering teams, including hardware design, OS development, and AI/ML application teams, to ensure cohesive and integrated product development
Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaborative problem-solving within the virtualization team

Skills

Key technologies and capabilities for this role

KVMQEMUHypervisorCPU VirtualizationMemory VirtualizationI/O VirtualizationPerformance OptimizationVirtualization Research

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This is an onsite position.

What specific skills and expertise are required for this role?

The role requires a deep understanding of hypervisor internals, CPU and memory virtualization, I/O virtualization, and performance optimization, along with experience in hypervisor development using KVM, QEMU, or custom solutions.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at Crusoe?

Crusoe fosters a culture of driving meaningful innovation, making a tangible impact, and setting the pace for responsible, transformative cloud infrastructure with sustainable technology.

What makes a strong candidate for this Senior Staff Software Engineer role?

A passionate and experienced engineer with expertise in hypervisor virtualization research, development, optimization, and performance tuning for AI workloads stands out.

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters

2018Year Founded

$1,082.2MTotal Funding

SERIES_DCompany Stage

Energy, AI & Machine LearningIndustries

201-500Employees