
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.
🕒 March 25
🏢🏡 San Francisco – Hybrid
💵 $266k - $445k / year
⏰ Full Time
🟠 Senior
🧑💻 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.
• Build end-to-end features for Lambda Cloud. • Contribute to both frontend and backend code across existing and new features. • Collaborate with Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut across the stack. • Partner with Product Managers to design, scope, and deliver features that are critical to customer success, without compromising on our product quality. • Work directly with Superintelligence customers’ engineering teams. • Own production features and systems, including participating in incident response rotations. • Design and implement observability and maintenance processes for the new features we build.
• Backend experience building business-critical services using Python, Unix/Command line, Django or FastAPI, and Postgres. • Proven experience owning complex features end-to-end, from defining problems with Product to GA release and measuring success criteria, in highly ambiguous environments under tight deadlines. • Proven ability to clearly communicate trade offs in scoping and timelines. • Experience designing, implementing, and maintaining developer-facing APIs and documentation. • CI/CD: Automation for testing and deployment workflows • Reliability & Observability: Logging, alerting, and building highly available systems • Cloud Native Services: Experience with AWS, Okta, Cloudflare, etc.
• 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🕒 March 24
11 - 50
🤖 Artificial Intelligence
☁️ SaaS
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🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
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Graphite
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11 - 50
🤖 Artificial Intelligence
🧬 Biotechnology
☁️ SaaS
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🏢🏡 San Francisco – Hybrid
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⏰ Full Time
🟠 Senior
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🧑💻 Full-stack Engineer
🕒 March 18
11 - 50
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
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