Senior Systems Software Engineer at Crusoe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Infrastructure, High Performance ComputingIndustries

Requirements

Experience building applications on Linux kernels, specifically pertaining to virtualization, device drivers, memory management, and process scheduling
Solid understanding of hardware devices such as GPUs, CPUs, Infiniband and Ethernet NICs, Ephemeral Disks, and PCI Express
Strong grasp of distributed applications and highly-scalable systems design, with focus on communications protocols (GRPC, REST, TCP/IP, etc.), databases (Postgres, Redis), and systems design applications (Pub/Sub, Kafka)
Strong experience building software applications at higher levels (Golang, Java, Python) and lower levels (C, C++, Rust), with a keen eye for clean, maintainable code and a unit-test driven mindset
Excellent communication skills and ability to collaborate with teams across an organization
Understanding of the Linux kernel, virtualization, hardware tuning, distributed systems, object-oriented programming, and low-level systems programming

Responsibilities

Design highly reliable and performant Linux applications used to manage the virtualization stack across thousands of AI compute servers in multiple global datacenters
Integrate Crusoe applications with a wide variety of hardware and software AI chip-vendor stacks, optimizing and monitoring virtualized hardware (GPUs, Infiniband/ROCe NICs, Ephemeral Storage, etc.) in AI/HPC environments
Work side by side with Linux Kernel and Hypervisor teams to ensure seamless integration of Crusoe applications with various kernels and hypervisors
Analyze and enhance performance of the entire virtualization stack (hypervisor to virtualized guest OS), focusing on optimizing AI/ML workloads through profiling, bottleneck identification, and low-level optimizations
Diagnose and resolve complex system issues across the virtualization stack (drivers, kernel, hypervisor, guest OS, and Crusoe applications), collaborating with kernel and hypervisor teams
Conduct thorough code reviews to ensure high software quality, reliability, and security in compute applications and virtualization stack
Collaborate with engineering teams (hardware design, OS development, AI/ML application teams) for cohesive product development
Provide technical guidance and mentorship to junior engineers, fostering technical excellence and collaborative problem-solving

Skills

Key technologies and capabilities for this role

LinuxLinux KernelVirtualizationDistributed SystemsObject Oriented ProgrammingLow-Level Systems ProgrammingHypervisorGPUInfinibandROCePerformance TuningHPC

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This is an onsite position.

What key skills are required for this Senior Systems Software Engineer role?

Critical skills include an understanding of the Linux kernel, virtualization, hardware tuning, distributed systems, object-oriented programming, and low-level systems programming. Excellent communication skills and a desire to work with a wide range of technologies across the Linux stack are also required.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the company culture emphasize at Crusoe?

Crusoe emphasizes driving meaningful innovation, making a tangible impact, and fostering a culture of technical excellence and collaboration through cross-functional teamwork and mentorship.

Passion and experience in systems applications for virtualized AI platforms, along with expertise in Linux kernel, virtualization, and low-level programming, plus strong communication skills and a collaborative mindset.

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

Benefits

Industry competitive pay

Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

Paid life insurance, short-term and long-term disability

Parental leave

Stock options in a fast-growing, well-funded technology company

Pet-friendly offices

Teladoc

401(k) with a 4% match

Unlimited time off

Cell phone reimbursement

Tuition reimbursement

Company paid commuter benefit; $100 per month

Calm

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.

Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.

Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.

The company offers scalable solutions for AI and high-performance computing needs.

Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.

Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.

AI-driven energy optimization can significantly reduce operational costs in data centers.

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