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Senior Solution Engineer

LambdaSan Francisco Office (Second St)Sales & Marketing
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Salary
$226K - $355K USD
Job type
Full-time
Work mode
Remote
Posted
3 Aug 2026
Status
Open · checked 8d ago

About this role

Role Overview

The Senior Solution Engineer role at Lambda is a full-time position based out of the San Francisco office, requiring presence in the office four days per week with Tuesday designated as a work-from-home day. This opportunity is well-suited for an experienced technical professional with a background in enterprise cloud infrastructure who wants to help scale high-performance GPU cloud solutions.

Key Responsibilities

Partner with Account Executives to lead complex sales deals with enterprise clients and digital native businesses while building relationships with technical leaders like CTOs and Heads of AI/ML.
Evaluate customer architectural needs, identify potential bottlenecks, and design comprehensive end-to-end GPU cloud solutions, architecture diagrams, and Bills of Materials.
Lead hands-on proof-of-concept activities, custom prototypes, and benchmark evaluations across training and inference workloads to showcase performance and cost advantages.
Guide enterprise engineering teams on structuring the AI lifecycle, including data ingestion, distributed training, inference optimization, and observability.
Provide architectural guidance on high-speed networking, distributed storage, and cluster topologies to ensure maximum GPU utilization.
Serve as the technical voice of the customer internally by funneling field insights, product gaps, and feature requests directly to product and engineering teams.
Create enablement assets, technical whitepapers, and architectural blueprints while representing the company as a subject expert at industry events.

Requirements

Bring eight or more years of experience designing, deploying, and scaling enterprise cloud infrastructure.
Possess at least four years of experience in a solution architect, solution engineer, or technical customer-facing capacity supporting complex cloud environments.
Demonstrate a minimum of three years of hands-on experience architecting and deploying cloud-based artificial intelligence and machine learning workloads.
Proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures using deep learning frameworks and inference engines.
Strong working knowledge of modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and Ansible.
Deep understanding of cloud networking concepts, high-speed interconnects like InfiniBand and RoCE, distributed file systems, security, and cost optimization.
Programming proficiency in Python, Go, C, or C++ and CUDA.
Experience partnering with account executives to close complex cloud deals and present technical architectures to C-level stakeholders.

Nice to Have

Direct experience with end-to-end large language model fine-tuning, algorithm selection, pipeline design, or distributed training setups.
Prior experience leading go-to-market initiatives, product launches, or publishing technical benchmarks and whitepapers.
Experience integrating RESTful application programming interfaces, gRPC, and service-oriented cloud architectures.

Skills and Tools

Python
PyTorch
Kubernetes
Docker
C++
LLM
Terraform
SLURM
Ansible
NVIDIA GPU Architectures
InfiniBand
RoCE

Salary and Benefits

Annual salary range between $226,000 and $355,000 in USD.
Generous cash and equity compensation packages.
Comprehensive health, dental, and vision coverage for employees and dependents.
Wellness and commuter stipends for select roles.
401(k) plan with a 2 percent company match for United States employees.
Flexible paid time off plan.

About the Company

Lambda operates as the superintelligence cloud, providing AI cloud infrastructure to tens of thousands of customers ranging from researchers to hyperscalers. Founded in 2012 and employing over 500 people, the organization is backed by prominent investors and is dedicated to making compute as ubiquitous as electricity.

How to Apply

Candidates can apply by visiting the official company careers page.

Skills and tech stack

PythonPyTorchKubernetesDockerC++LLMTerraform

Questions candidates ask

What is the location requirement for this role?

This position requires presence in the San Francisco, San Jose, or Bellevue office location four days per week, with Tuesday designated as Lambda’s work-from-home day.

What is the salary range for the Senior Solution Engineer?

The annual salary range is set between $226,000 and $355,000 USD, though adjustments may be made based on qualifications.

How many years of experience are required?

The role requires 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure, including 4+ years in a technical customer-facing capacity and 3+ years architecting cloud-based AI/ML workloads.

What benefits are offered to employees?

Benefits include cash and equity compensation, health, dental, and vision coverage, wellness and commuter stipends, a 401(k) plan with a 2% company match, and flexible paid time off.

What technical skills are needed?

Required skills include Python, PyTorch, Kubernetes, Docker, C++, Terraform, SLURM, Ansible, NVIDIA GPU architectures, and cloud networking concepts like InfiniBand and RoCE.

Ready to apply?

The application is on the official Lambda careers page.

Apply on company site