Lambda is a cloud computing company that provides on-demand GPU instances and clusters tailored for AI training and inference. It offers a variety of GPU products, such as on-demand cloud GPU instances billed by the minute, private large-scale GPU clusters, and PCIe servers with customizable NVIDIA Tensor Core GPUs. Lambda is known for its AI developer cloud, enabling AI developers to spin up GPU instances with a focus on NVIDIA's latest hardware. The company also offers workstation products configured with NVIDIA GPUs designed for deep learning and other AI applications.
Deep Learning • Machine Learning • Artificial Intelligence • LLMs • Generative AI
January 25
🏄 California – Remote
💵 $215k - $280k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Lambda is a cloud computing company that provides on-demand GPU instances and clusters tailored for AI training and inference. It offers a variety of GPU products, such as on-demand cloud GPU instances billed by the minute, private large-scale GPU clusters, and PCIe servers with customizable NVIDIA Tensor Core GPUs. Lambda is known for its AI developer cloud, enabling AI developers to spin up GPU instances with a focus on NVIDIA's latest hardware. The company also offers workstation products configured with NVIDIA GPUs designed for deep learning and other AI applications.
Deep Learning • Machine Learning • Artificial Intelligence • LLMs • Generative AI
• Join a team of industry-leading experts and work alongside the best minds in the field • Collaborate with top-tier professionals who are shaping the future of the industry • Build core cloud features like Virtualization, SDN, Storage, VPCs for training AI/ML models across thousands of GPUs interconnected with state-of-the-art networking fabric
• Linux – 10+ years developing Linux based production systems. Strong understanding of Linux kernel internals (e.g. Memory Management, Process Scheduling, I/O Scheduling, Socket Buffers, Virtualization/KVM, Live Migration, eBPF, perf). • Cloud – 10+ years developing core public cloud internals (e.g. Kernel, Device Drivers, Virtualization, KVM, QEMU, Software Defined Networking, Security, Fleet Health and Performance Monitoring). • Architecture – Ability to architect a resilient, large-scale, distributed system from a blank sheet of paper. Have a deep understanding of x86_64, aarch64 and GPUs. • Programming Languages - Strong C background. Rust, Python and Go are nice to have. Minimum of 10 years implementing business-critical systems, from initial conception to successful launch. • Leadership – 5+ years as a technical lead for a single or multiple teams • Mentorship – 5+ years of mentoring junior employees • Education – computer science, electrical engineering, mathematics, or physics preferred
• Health, dental, and vision coverage for you and your dependents • Commuter/Work from home stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible Paid Time Off Plan that we all actually use • We offer generous cash & equity compensation
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