Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda's mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
If you'd like to build the world's best deep learning 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 staffCreate field enablement materials for technical audience, lead workshops and support product advocacy effortsProvide technical feedback from customers to Lambda's product and marketing teamsOwn 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 outcomesRecommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflowDocument proposal and designs in formats including but not limited to presentations, white-papers, visuals, Bill of Materials and rack elevationsDemonstrate expertise on Lambda's cloud infrastructureBuild structured and purposeful learning into your work routine
Develop and support internal Lambda community as a subject matter expertBe an expert at deploying AI / ML workloads on Lambda cloudStay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resourcesDevelop high quality processes and documentationReinforce Lambda's cultureContribute positively throughout the organization
Maintain a high level of agility and responsivenessHyper-focused on customer satisfactionYou
Have 8+ years of experience designing, deploying and scaling cloud infrastructureHave 4+ years of experience as a solutions architect or consultative capacity supporting cloud infrastructure and servicesHave 3+ years of experience working with cloud-based AI / ML servicesHave deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting toolsHave experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible and TerraformHave deep knowledge of cloud infrastructure, security, networking, and cost optimization techniquesHave experience coding in Python, C# or similar programming languageHave experience developing with NVIDIAs GPUsHave led complex technical projects with diverse stakeholdersHave demonstrated impact at an organizational / multi-departmental levelHave experience leading complex cloud deals, influencing C-level stakeholders, and mentoring junior SEs or architectsThrive in dynamic settings and embrace radical ownership of initiatives and outcomesNice 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 launchesExperience working with LLM architecturesExperience working with RESTful API and general service-oriented architectureSalary 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, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA 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.