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Staff Software Engineer - Compute
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Lambda·Bellevue Office·14 авг.

Staff Software Engineer - Compute

🏢 ОфисSeniorПолная занятость
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Наша компания

Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available:

О роли

As a Staff Software Engineer for the Compute pillar, you will play a critical role in defining the technical vision for Lambda's next-generation GPU and CPU host instance lifecycle and compute control plane. This role bridges the gap between high-level distributed systems and low-level semiconductor architecture to enable seamless, reliable cloud provisioning and lifecycle management of a heterogeneous compute platform at a massive scale. You will provide hands-on technical leadership that will guide development of a resilient compute control plane utilizing durable execution concepts and deep/unique hardware integration The position requires a deep understanding of the entire stack, from BIOS/firmware (UEFI), Linux kernel internals, modern DPU capabilities, distributed systems, cradle-to-grave system lifecycle management, to large-scale cloud-service provider (CSP) operations. You will drive high-impact, cross-functional initiatives, leading the work of multiple engineers to deliver enterprise-grade SLAs for the world's leading AI researchers

Чем предстоит заниматься

We are seeking an engineer with extensive experience in cloud infrastructure to build and optimize GPU-first compute systems. In this role, you will be responsible for
Designing and implementing a highly available and reliable GPU and CPU “host and instance lifecycle” control plane
Guide technical decisions involving semiconductor architecture, BIOS/Firmware settings, system boot methodologies, and DPU utilization to optimize host capabilities, performance and reliability
Guide design of compute platform multi-tenant security model
Provide technical leadership and mentorship for senior engineers across several teams to execute on complex infrastructure roadmaps and technical strategy
Collaborate with product and data center organizations to translate customer requirements into scalable infrastructure capabilities
Work with customers on translating vague customer technical requirements into concrete engineering deliverables
Set engineering standards and lead design reviews for mission-critical cloud software at scale

Наши требования

10+ years of experience working on compute control plane distributed systems used for deploying and lifecycle managing heterogeneous compute platforms into data-centers, built for resilience at scale
Deep expertise in durable execution models and distributed systems used in cloud-service provisioning
Basic knowledge of software defined networking fundamentals that informs secure, multi-tenant distributed systems
Proven track record of leading large-scale semi-conductor hardware enablement and deployment initiatives
Proven experience in deploying net-new data-centers into a global compute platform (not just working in existing data-centers)
Proficiency in one of more of the following programming languages: C/C++, Rust, Python, Go
Knowledge of Nvidia’s AI Factory architectural components (including GPU hosts, CPU hosts, SuperNICs (ConnectX and Bluefield DPUs , and switches)
Knowledge of Nvidia’s AI Factory software offerings (like DOCA, DOCA SNAP, CUDA, et al.)
Knowledge of Linux kernel internals, device drivers, and virtualization technologies (KVM, QEMU), kernel bypass technologies (like SR-IOV, DPDK, SPDK)
Experience with Cloud Service Provider Kubernetes offerings
Knowledge of high-performance networking (InfiniBand, RoCE) and storage protocols (NVMe-oF)
Salary Range Information

Мы предлагаем

Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use

Дополнительно

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description
L
Lambda
Bellevue Office

ГрейдSenior
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано14 авг.
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