Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
Advocate for Lambda’s Products
Develop and maintain expertise in Lambda’s cloud products and services
Demonstrate Lambda’s software and solutions to customers, partners and staff
Create field enablement materials for technical audience, lead workshops and support product advocacy efforts
Provide technical feedback from customers to Lambda’s product and marketing teams
Own the technical side of Lambda’s sales process.
Partner with Lambda account executives to drive customer adoption and ensure successful delivery
Evaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomes
Recommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflow
Document proposal and designs in formats including but not limited to presentations, white-papers, visuals, Bill of Materials and rack elevations
Demonstrate expertise on Lambda’s cloud infrastructure
Build structured and purposeful learning into your work routine
Develop and support internal Lambda community as a subject matter expert
Be an expert at deploying AI/ML workloads on Lambda cloud
Stay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resources
Develop high quality processes and documentation
Reinforce Lambda’s culture
Contribute positively throughout the organization
Maintain a high level of agility and responsiveness
Hyper-focused on customer satisfaction
You
Have 8+ years of experience designing, deploying and scaling cloud infrastructure
Have 4+ years of experience as a solutions architect or consultative capacity supporting cloud infrastructure and services
Have 3+ years of experience working with cloud-based AI/ML services
Have deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting tools
Have experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible and Terraform
Have deep knowledge of cloud infrastructure, security, networking, and cost optimization techniques
Have experience coding in Python, C# or similar programming language
Have experience developing with NVIDIAs GPUs
Have led complex technical projects with diverse stakeholders
Have demonstrated impact at an organizational/multi-departmental level
Have experience leading complex cloud deals, influencing C-level stakeholders, and mentoring junior SEs or architects
Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes
Nice to Have
Experience with AI/ML use case to algorithm selection, training, tuning, inference, and training pipeline design and build.
Participation in go-to-market (GTM) initiatives or product launches
Experience working with LLM architectures
Experience working with RESTful API and general service-oriented architecture
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
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
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
