Lambda
Senior Solution Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco Office (Second St)
Employer listed it 7 weeks ago · Added 5 days ago
Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
$226,000 to $355,000
Location
Hybrid · San Francisco Office (Second St)
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Sales
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco Office (Second St), San Jose Office (First St), Bellevue Office, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco Office (Second St), San Jose Office (First St), Bellevue Office, Hybrid"
- Listing mentions "Hybrid" and 4 days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Lambda Cloud GTM team powers our growth by enabling customers to realize their business goals with AI infrastructure. We partner with leading AI researchers and enterprise engineering teams to design, scale, and optimize high-performance GPU cloud solutions. Driven by technical mastery, agility, and a customer-first mindset, our team turns massive compute challenges into seamless, production-ready AI infrastructure.
What You’ll Do
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
You
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
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
- ·Equal Opportunity Employer
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Lambda, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$226,000 to $355,000 · You'll be taken to the employer's careers page.