Senior Cloud Solutions Engineer

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.

* Note:

This position requires presence in our San Francisco office location 4 days per week;
Lambda’s designated work from home day is currently Tuesday.

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.

• 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

• 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 NVIDIA’s 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

• 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

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.

• 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,…