Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
About the Company
Our client is at the forefront of the AI revolution, providing cutting-edge
infrastructure
that's reshaping the landscape of artificial intelligence. They offer an
AI-centric cloud platform
that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.
Company Type: Publicly traded
Product: AI-centric GPU cloud platform & infrastructure for training AI models
Candidate Location: Remote anywhere in the US
Their
mission
is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.
The Opportunity
We are seeking a
Cloud Solutions Architect (Pre-Sales)
to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers.
What You'll Do
Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
Collaborate with clients to understand their business requirements and develop solution architectures
Design and document Infrastructure as Code solutions, technical documentation, and how-tos
Help customers optimize pipeline performance and scalability
Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
Assist with marketing efforts during events such as hackathons, conferences, and webinars
What You Bring
5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python
Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
Solid understanding of the cloud ML tools landscape from industry leaders
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
Key Attributes for Success
Self-starter who thrives in a fast-paced, evolving startup environment
Collaborative team player who can work effectively across different departments and cultures
Results-oriented with a strong sense of ownership and accountability
Innovative problem-solver who can identify new opportunities for growth
Continuous learner, eager to stay updated on the latest AI and cloud computing trends
High ethical standards and integrity, with a commitment to responsible AI development
Passionate about democratizing access to AI infrastructure
Why Join?
Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Stock options plan
Flexible remote work environment
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Up to $85/month for mobile and internet
Opportunity to work with cutting-edge AI and cloud technologies
Contribute to sustainable AI infrastructure with energy-efficient data centers
Be part of a team that operates one of the most powerful commercially available supercomputers
Interviewing Process
Level 1:
Virtual interview with the Talent Acquisition Lead (General fit, Q&A)
Level 2:
Virtual interview with the Hiring Manager (Skills assessment)
Level 3:
Interview with the C-level (Final round)
Reference and Background Checks:
Conducted post-interviews
Offer:
Extended to the selected candidate
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
