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Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI Cloud): Building a highly available GPU and CPU host and instance lifecycle control plane for Lambda's large-scale AI cloud with an accent on distributed systems, hardware enablement, and cloud provisioning. Focus on designing resilient compute infrastructure, integrating BIOS/firmware and DPU capabilities, and leading multi-team delivery of secure, enterprise-grade systems.
Location: Hybrid, with presence in the Bellevue, San Francisco, or San Jose office 4 days per week; Tuesday is the designated work-from-home day.
Salary: $314,000–$419,000 annually in Bellevue or $349,000–$465,000 annually in San Francisco/San Jose.
Company
Lambda provides AI cloud infrastructure for researchers, enterprises, and hyperscalers, focused on making large-scale compute broadly accessible.
What you will do
- Design and implement a highly available GPU and CPU host and instance lifecycle control plane.
- Define technical approaches spanning semiconductor architecture, BIOS/UEFI, firmware, boot methodologies, and DPU utilization.
- Design secure multi-tenant compute platform capabilities.
- Lead technical direction, mentorship, design reviews, and engineering standards across multiple teams.
- Collaborate with product, data center organizations, and customers to turn technical requirements into scalable infrastructure deliverables.
Requirements
- 10+ years of experience building resilient distributed systems for deploying and managing heterogeneous compute platforms in data centers.
- Deep expertise in durable execution models and distributed systems for cloud-service provisioning.
- Experience leading semiconductor hardware enablement and deploying new data centers into a global compute platform.
- Knowledge of software-defined networking fundamentals and secure multi-tenant systems.
- Proficiency in one or more of C, C++, Rust, Python, or Go.
Nice to have
- Knowledge of NVIDIA AI Factory components and software, including GPU/CPU hosts, SuperNICs, ConnectX, BlueField DPUs, DOCA, and CUDA.
- Knowledge of Linux kernel internals, device drivers, KVM, QEMU, SR-IOV, DPDK, or SPDK.
- Experience with cloud-provider Kubernetes offerings, InfiniBand, RoCE, or NVMe-oF.
Culture & Benefits
- Cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with a 2% company match for USA employees.
- Flexible paid time off.
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