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Staff Software Engineer - Compute

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Staff Software Engineer - Compute in USA new

  • Bellevue, WA

Responsibilities

  • Design and implement a highly available and reliable GPU and CPU host and instance lifecycle control plane.
  • Guide technical decisions involving semiconductor architecture, BIOS and firmware settings, system boot methodologies, and DPU utilization.
  • Guide the compute platform’s multi-tenant security model.
  • Provide technical leadership and mentorship to senior engineers across several teams.
  • Collaborate with product and data center organizations to translate customer requirements into scalable infrastructure capabilities.
  • Translate vague customer technical requirements into concrete engineering deliverables.
  • Set engineering standards and lead design reviews for mission-critical cloud software at scale.
  • Lead development of resilient compute control-plane infrastructure using durable execution concepts and deep hardware integration.

Requirements

  • 10+ years of experience with compute control-plane distributed systems for deploying and lifecycle-managing heterogeneous compute platforms in data centers at scale.
  • Deep expertise in durable execution models and distributed systems used in cloud-service provisioning.
  • Basic knowledge of software-defined networking fundamentals for secure, multi-tenant distributed systems.
  • Proven experience leading large-scale semiconductor hardware enablement and deployment initiatives.
  • Proven experience deploying new data centers into a global compute platform.
  • Proficiency in one or more of C/C++, Rust, Python, or Go.
  • Knowledge of NVIDIA AI Factory architecture, including GPU hosts, CPU hosts, SuperNICs, ConnectX, BlueField DPUs, and switches, is preferred.
  • Knowledge of NVIDIA AI Factory software offerings such as DOCA, DOCA SNAP, and CUDA is preferred.
  • Knowledge of Linux kernel internals, device drivers, virtualization technologies, kernel bypass technologies, high-performance networking, and storage protocols is preferred.
  • Experience with cloud service provider Kubernetes offerings is preferred.

Benefits

  • Hybrid work arrangement requiring presence in Bellevue, San Francisco, or San Jose four days per week, with Tuesday as the designated work-from-home day.
  • Generous 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 U.S. employees.
  • Flexible paid time off plan.

Salary: $314k - $465k/yr

Lambda

The Superintelligence Cloud

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