
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🔧 Hardware
💰 $39.7M Venture Round on 2022-11
Artificial Intelligence • SaaS • Hardware
Lambda is a company that provides cloud-based solutions and hardware for AI development. They offer on-demand GPU clusters for multi-node training and fine-tuning, as well as inference endpoints and APIs. Their products include the Lambda GPU Cloud, which features NVIDIA's latest generation of infrastructure for enterprise AI, and customizable GPU workstations and desktops designed for AI and deep learning. Lambda also offers a one-line installation and managed upgrade path for machine learning tools like PyTorch, TensorFlow, and NVIDIA CUDA. By focusing on enabling AI developers, Lambda provides both public and private cloud services with access to powerful NVIDIA Tensor Core GPUs.
🕒 May 12
🏢🏡 San Francisco – Hybrid
💵 $203k - $300k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🔧 Hardware
💰 $39.7M Venture Round on 2022-11
Artificial Intelligence • SaaS • Hardware
Lambda is a company that provides cloud-based solutions and hardware for AI development. They offer on-demand GPU clusters for multi-node training and fine-tuning, as well as inference endpoints and APIs. Their products include the Lambda GPU Cloud, which features NVIDIA's latest generation of infrastructure for enterprise AI, and customizable GPU workstations and desktops designed for AI and deep learning. Lambda also offers a one-line installation and managed upgrade path for machine learning tools like PyTorch, TensorFlow, and NVIDIA CUDA. By focusing on enabling AI developers, Lambda provides both public and private cloud services with access to powerful NVIDIA Tensor Core GPUs.
• Develop and Maintain Production Systems: Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale. • Automate Infrastructure: Build and enhance automation frameworks for machine provisioning, configuration management, and deployment. • Support New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms. • Enhance Machine Lifecycle Processes: Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring. • Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows. • Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.
• 2+ years of experience working with Go (Golang) or Python in production environments. • 2+ years of experience with configuration management tools and practices. • Comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers. • Independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.
• 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
Apply Now🕒 May 12
201 - 500
☁️ SaaS
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