Senior Solution Engineer
Lambda· Sales & Marketing
Hybrid (San Francisco Office (Second St)), Hybrid (San Jose Office (First St)), Hybrid (Bellevue Office)$251k - $355kFull-timePosted 2mo ago
About the role
Senior role within Lambda’s GTM team focused on driving technical sales, architecture design, PoCs, and customer advocacy for AI GPU cloud infrastructure.
Responsibilities
- Drive technical sales & executive influence
- Partner with Account Executives to lead complex deals with large enterprises and digital native businesses and build trusted relationships with technical leaders (CTOs, Heads of AI/ML, Platform Leads)
- Evaluate customer architectural needs, uncover potential bottlenecks, and design end-to-end GPU cloud solutions
- Author comprehensive proposals & architecture diagrams and collaborate with teams on Bill of Materials (BOMs), and rack elevations for multi-node GPU clusters
- Lead hands-on proof-of-concept (PoC) activities & benchmarking for customers
- Design, execute, and deliver technical PoCs and custom prototypes to demonstrate Lambda’s performance, reliability, and value
- Run benchmark evaluations across training and inference workloads to show tangible performance and cost advantages over competitors
- Architect & optimize AI/ML workloads
- Guide enterprise engineering teams on structuring their AI lifecycle—from data ingestion and distributed training (SLURM, Kubernetes) to inference optimization (vLLM, TensorRT-LLM) and observability
- Provide architectural guidance on high-performance networking (InfiniBand, RoCE), distributed storage, and cluster topologies to ensure maximum GPU utilization
- Champion customer feedback & product advocacy
- Serve as the technical voice of the customer internally, funneling field insights, product gaps, and feature requests directly to Lambda’s Product and Engineering teams
- Create field enablement assets, technical whitepapers, architectural blueprints, and lead technical workshops for prospective clients & partners
- Represent Lambda as a subject matter expert at industry conferences, webinars, and technical community events
- Reinforce Lambda’s culture
- Contribute positively throughout the organization
- Maintain a high level of agility and responsiveness
- Hyper-focused on customer satisfaction
Qualifications
- Have a proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures (e.g., HGX platforms, NVLink) using deep learning frameworks (PyTorch, NeMo) and inference engines (vLLM, TensorRT-LLM)
- Have 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure
- Have 4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity supporting complex cloud environments
- Have 3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloads
- Have strong experience with modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and Ansible
- Have deep knowledge of cloud networking concepts, including high-speed interconnects (InfiniBand, RoCE), distributed file systems (NFS, NVMe-oF, Weka, VAST), security, and cost optimization
- Have experience coding in Python, Go, C/C++ (CUDA) or similar programming language
- Have experience partnering with Account Executives to close complex cloud deals, present technical architectures to C-level stakeholders (CTOs, VP of Eng), and drive customer alignment
- Have demonstrated impact at an organizational/multi-departmental level and are effective mentoring junior SEs or architects
- Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes
Skills
Required:NVIDIA GPU architectures & benchmarkingCloud infrastructure design & deploymentKubernetes / Docker / SLURM / Terraform / AnsibleNetworking & storage for HPCPython / Go / C/C++ (CUDA)
Benefits
- 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
Last updated Aug 6, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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