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Senior Hardware Systems Engineer
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Crusoe Energy·Sunnyvale, CA - US·24 июля

Senior Hardware Systems 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

Drive the end-to-end lifecycle of next-generation compute platforms, including evaluation, bring-up, validation, deployment, and production readiness
Define and execute performance characterization and validation strategies for CPU, GPU, and accelerated computing platforms
Conduct in-depth workload characterization studies across training and inference - dense, MoE, long-context, and multimodal models to understand compute, memory, communication, and I/O behavior on target platforms
Translate workload and platform insights into cluster-level tuning and configuration recommendations: topology, parallelism strategy, scheduling, power, and software stack settings to maximize delivered performance and efficiency
Build and maintain workload performance profiles and reference configurations that guide how clusters are deployed, tuned, and scaled for specific model families and workload classes
Analyze system and workload performance, identify bottlenecks, and work across hardware and software layers to drive improvements
Lead complex system-level debugging across compute, memory, storage, networking, accelerators, and platform firmware
Partner with vendors and internal engineering teams on prototyping, qualification, NPI, and production readiness of new technologies
Collaborate across hardware, firmware, networking, software, infrastructure, reliability, and operations teams to resolve complex platform issues
Use data and system-level insights to influence platform architecture, technology selection, hardware roadmaps, and long-term infrastructure strategy

Наши требования

5-6+ years of experience in hardware systems engineering, platform engineering, performance engineering, ML systems engineering, infrastructure engineering, or related areas
Hands-on experience with large-scale GPU or accelerated computing infrastructure for AI/ML or HPC workloads
Hands-on experience with distributed training and/or inference workloads at scale, including parallelism strategies and performance tuning across the hardware/software stack
Experience with workload benchmarking, performance profiling, and system performance optimization across hardware and software layers
Strong understanding of modern server and accelerator architectures, including CPU, GPU, memory, storage, networking, and high-speed interconnects such as PCIe, InfiniBand, or NVLink
Hands-on experience with system bring-up, validation, performance characterization, and root-cause analysis of complex hardware/software issues
Experience developing automation, testing, diagnostics, or data-analysis frameworks using Python, Shell, or similar languages
Ability to analyze system behavior using telemetry, benchmarks, profiling tools, and other quantitative data
Experience working across multiple engineering disciplines, including hardware, firmware, software, networking, and infrastructure teams
Strong analytical and problem-solving skills with the ability to operate effectively in ambiguous and rapidly evolving environments
Excellent technical communication skills and experience collaborating with internal engineering teams, customers, and external technology partners
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
Experience influencing hardware or system configuration decisions based on workload performance data (e.g: HW/SW co-design, platform tuning studies)
Deep experience with RDMA, RoCE, CXL, NVLink or fabric-level performance analysis
Experience with inference serving frameworks, training frameworks, or ML compiler/runtime stacks
Familiarity with both x86 and ARM-based server platforms
Experience building observability, diagnostics, or fleet-level performance and reliability systems
Experience introducing new compute technologies into production cloud or large-scale datacenter environments
Understanding of infrastructure efficiency, power, cooling, performance-per-dollar, or total cost of ownership considerations
Background in sustainable or energy-efficient hardware design practices
Advanced certifications or coursework in AI/HPC hardware systems

Мы предлагаем

Industry competitive pay
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement
Subscription to the Calm app
MetLife Legal
Company paid commuter benefit; $300 per month
Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data

Дополнительно

We are seeking a Senior or Staff Hardware Systems Engineer to strengthen Crusoe’s Hardware Systems Engineering team and close critical skill gaps in debugging, validation, performance evaluation and production support of high-performance compute systems. In this role, you will participate in the full hardware lifecycle – from prototype bring-up to large-scale production while driving automation, deep issue resolution, and reliability across Crusoe Cloud’s GPU- and CPU-based infrastructure
You will be collaborating with hardware, software, infrastructure, and vendor engineering teams while working across platform bring-up, validation and performance characterization. Your work will directly impact Crusoe’s ability to deploy and operate sustainable, AI-first compute systems with world-class performance and reliability
C
Crusoe Energy
Sunnyvale, CA - US

ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано24 июля
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