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About the Role
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Join us to build the world's best AI cloud.
Responsibilities
- Drive technical sales and executive influence.
- Partner with Account Executives to lead complex deals with large enterprises and digital native businesses.
- Build trusted relationships with technical leaders.
- Evaluate customer architectural needs and design end-to-end GPU cloud solutions.
- Author comprehensive proposals and architecture diagrams.
- Collaborate with teams on Bill of Materials (BOMs) and rack elevations for multi-node GPU clusters.
- Lead hands-on proof-of-concept (PoC) activities and benchmarking for customers.
- Design, execute, and deliver technical PoCs and custom prototypes.
- Run benchmark evaluations to demonstrate performance and cost advantages.
- Guide enterprise engineering teams on structuring their AI lifecycle.
- Provide architectural guidance on high-performance networking, distributed storage, and cluster topologies.
- Serve as the technical voice of the customer internally.
- Funnel field insights, product gaps, and feature requests to Product and Engineering teams.
- Create field enablement assets, technical whitepapers, and architectural blueprints.
- Lead technical workshops for prospective clients and partners.
- Represent Lambda as a subject matter expert at industry events.
- Contribute positively throughout the organization.
- Maintain a high level of agility and responsiveness.
- Be hyper-focused on customer satisfaction.
Requirements
- Proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures using deep learning frameworks and inference engines.
- 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure.
- 4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity supporting complex cloud environments.
- 3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloads.
- Strong experience with modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and Ansible.
- Deep knowledge of cloud networking concepts, including high-speed interconnects, distributed file systems, security, and cost optimization.
- Experience coding in Python, Go, C/C++ (CUDA) or similar programming language.
- Experience partnering with Account Executives to close complex cloud deals.
- Experience presenting technical architectures to C-level stakeholders.
- Experience driving customer alignment.
- Demonstrated impact at an organizational/multi-departmental level.
- Effective mentoring junior SEs or architects.
- Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes.
Skills
- NVIDIA GPU architectures (e.g., HGX platforms, NVLink)
- Deep learning frameworks (PyTorch, NeMo)
- Inference engines (vLLM, TensorRT-LLM)
- Kubernetes
- Docker
- SLURM
- Terraform
- Ansible
- High-speed interconnects (InfiniBand, RoCE)
- Distributed file systems (NFS, NVMe-oF, Weka, VAST)
- Python
- Go
- C/C++ (CUDA)
- RESTful APIs
- gRPC
- Service-oriented cloud architectures
Location
- San Francisco, CA
- San Jose, CA
- Bellevue, WA
Work Type
- Hybrid (4 days in office per week)
- Full-time
Experience Level
- 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure
- 4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity
- 3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloads
Salary/Compensations
- 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.
Benefits
- 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
About the Company
- Founded in 2012, with 500+ employees, and growing fast.
- Investors 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.
- Have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
- Values are publicly available: https://lambda.ai/careers.
Equal Opportunity
- 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.