Cloud Solutions Architect (Cloud & AI Infra)

Job DescriptionJob DescriptionAbout 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, 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 are committed to equal employment opportunity regardless of , , , , , , marital status, ancestry, physical or mental , genetic information, veteran status, , or expression, , or any other characteristic protected by applicable federal, state or local law.

Compensation Range: $180K - $300K