AI computing platform providing GPU hardware and cloud solutions for AI deployment, started by AI engineers in 2012.

Lambda, founded in 2012 by AI engineers, has evolved into a leading AI computing platform with a mission to become the world's premier provider of AI computing solutions. The company offers both on-site GPU hardware and cloud-based solutions, serving prestigious clients including Anyscale, Rakuten, and The AI Institute.

As a Senior Network Engineer, you'll play a crucial role in scaling Lambda's high-performance cloud network infrastructure. The position requires expertise in complex networking, including Spine and Leaf networks, BGP management, and Software Defined Networks. You'll be responsible for ensuring network high availability, implementing automation, and maintaining optimal performance through QoS and other technologies.

The ideal candidate brings 10+ years of experience with complex networks and a strong background in production-scale networking projects. Your expertise should span BGP management, multi-data center networks, and Linux networking stack. The role offers competitive compensation ($171,000 - $246,000) and comprehensive benefits including health coverage and equity.

Working from Lambda's San Francisco office (4 days/week), you'll join a fast-growing team of 350+ professionals in a profitable company backed by notable investors. Lambda values diversity and welcomes candidates with varied backgrounds and experiences. The company's commitment to innovation is evident in their research papers accepted at top conferences like NeurIPS and SIGGRAPH.

Senior Network Engineer position at Lambda, leading AI computing platform, focusing on cloud network infrastructure and requiring 10+ years of complex networking experience.

Senior Network Engineer

Lambda, founded in 2012 by AI engineers, has evolved into a leading AI computing platform providing powerful GPU hardware and cloud solutions. As a Staff Network Engineer, you'll play a crucial role in scaling Lambda's high-performance cloud infrastructure.

The position offers a competitive salary range of $190,000 - $270,000 and requires 15+ years of experience in building and managing complex networks. You'll be responsible for designing and implementing software-defined networks, managing Spine and Leaf architectures, and ensuring high network availability through sophisticated monitoring and redundancy systems.

The ideal candidate brings extensive experience with production-scale networking projects, multi-data center environments, and hybrid cloud networks. Strong expertise in BGP EVPN VXLAN networks, Linux networking stack, and Python programming is essential. Additional valuable skills include experience with OpenStack, DWDM technologies, SD-WAN, and various monitoring tools like Datadog and Grafana.

Lambda offers an attractive benefits package including health, dental, and vision coverage, 401k with company match, flexible PTO, and work-from-home stipends. The company is experiencing strong growth, backed by notable investors including US Innovative Technology and Gradient Ventures, and maintains a team of 350+ talented professionals.

This role presents an exceptional opportunity to join a rapidly growing AI infrastructure company that's helping shape the future of AI computing. You'll work with cutting-edge technology while contributing to Lambda's mission of making computation as effortless and ubiquitous as electricity. The company values diversity and welcomes candidates with varied backgrounds and experiences, even if they don't match all listed requirements.

Staff Network Engineer position at Lambda, focusing on scaling high-performance cloud networks and managing complex network infrastructure.

Staff Network Engineer

AI computing platform providing GPU hardware and cloud-based solutions for AI deployment, started by AI engineers in 2012.

Lambda, founded in 2012 by AI engineers, has evolved into a leading AI computing platform with a mission to become the world's premier provider of AI computing solutions. The company specializes in delivering powerful GPU hardware and cloud solutions that make AI deployment fast, secure, and scalable.

As a Senior Software Engineer - Cloud at Lambda, you'll be at the forefront of building critical infrastructure for AI computing. The role involves developing sophisticated software systems for GPU-based model training and implementing essential cloud features within the company's data centers. This position requires deep expertise in Python and distributed systems, with a focus on creating resilient, large-scale solutions.

The ideal candidate will bring 8+ years of experience in implementing business-critical features and architecting distributed systems. You'll be joining a high-performing, low-ego team that values strong communication and collaboration. The company culture emphasizes quick learning, ownership of projects, and making significant business impact.

Lambda offers competitive compensation ($185,000-$280,000), comprehensive benefits, and the opportunity to work with a rapidly growing team of 350+ talented professionals. The company's technical excellence is demonstrated through research papers accepted at top conferences like NeurIPS and SIGGRAPH. Working at Lambda means contributing to a platform that serves leading companies and research institutions, making computation as accessible as electricity.

Senior Cloud Engineer role at Lambda, building AI computing infrastructure with focus on GPU-powered systems and cloud services.

Senior Software Engineer - Cloud

Lambda is an AI computing platform providing GPU hardware and cloud-based solutions for AI deployment, started by AI engineers in 2012.

Lambda, founded in 2012 by AI engineers, has evolved into a leading AI computing platform with a mission to become the world's premier AI computing infrastructure provider. The company offers both powerful GPU hardware solutions and flexible cloud-based services, serving notable clients including Anyscale, Rakuten, and The AI Institute.

As a Post Sales Machine Learning Engineer, you'll play a crucial role in ensuring customer success by guiding them through technical onboarding and optimization of Lambda's AI Cloud Platform. This position combines deep technical expertise in machine learning with strong customer-facing skills, making it ideal for someone who enjoys both technical challenges and client interaction.

The role requires expertise in machine learning, deep learning frameworks, and cloud infrastructure, with hands-on experience in building and optimizing LLM-based applications. You'll be responsible for creating proof-of-concept demos, conducting training sessions, and serving as a trusted technical advisor to customers.

Lambda offers an attractive compensation package ranging from $144,000 to $210,000, along with comprehensive benefits including health coverage, 401k matching, and equity compensation. The position is hybrid, requiring 4 days per week in the San Francisco office, with Tuesdays designated as work-from-home days.

The company is experiencing significant growth, with consistent quarter-over-quarter profitability and a team of over 350 talented professionals. Lambda's commitment to innovation is evidenced by their research papers being accepted into top ML conferences like NeurIPS and ICCV. This role offers an opportunity to work at the forefront of AI infrastructure, helping shape the future of machine learning deployment while working with cutting-edge technology and diverse clients.

Senior ML Engineer role at Lambda focusing on customer success, technical onboarding, and optimization of AI infrastructure.

Lambda Engineering Jobs

AI computing platform providing GPU hardware and cloud solutions for AI deployment, started by AI engineers in 2012.