Solutions Architect (Cloud & MLOps)

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. The 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're seeking a Solutions Architect to join our client's dynamic team. This role offers a unique chance to shape the adoption of AI technology and work with cutting-edge cloud and AI infrastructure. As a trusted advisor, you'll help clients leverage GPU-powered cloud solutions to optimize their AI and machine learning workflows.

What You'll Do

• Serve as a trusted technical advisor to clients on GPU cloud technologies

• Conduct PoCs, workshops, and training sessions to educate clients

• Develop tailored solution architectures based on client requirements

• Design and document Infrastructure as Code solutions

• Optimize client pipeline performance, scalability and resource utilization

• Act as the primary expert on customer scenarios for Product, Technical support, and Marketing teams.

What You Bring

• At least 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 Infrastructure as Code and configuration management tools (Terraform, Ansible), Kubernetes, and Python coding skills

• Solid understanding of GPU computing practices for ML training and inference workloads, including GPU software stack components (CUDA, OpenCL)

• Ideally, experience with HPC/ML orchestration frameworks (Slurm, Kubeflow) and deep learning frameworks (TensorFlow, PyTorch)

• Knowledge of cloud ML tools from industry leaders (NVIDIA, AWS, Azure, Google)

• Bachelor's degree in a relevant field (advanced degree is a plus)

• Excellent communication skills 

Key Attributes for Success

• Passion for AI and transformative technologies

• Results-driven mindset and problem-solver mentality

• Adaptability and ability to thrive in a fast-paced startup environment

• Comfortable working with an international team and diverse client base

Why Join?

• Competitive compensation: $140,000-$175,000 per year

• Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan with a 4% match program with immediate vesting

• Company-paid short-term, long-term, and life insurance coverage

• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers

• Company-paid short-term, long-term, and life insurance coverage

• Flexible remote work environment

• Up to $85/month for mobile and internet

• Startup culture with stability: excitement and innovation of a startup backed by the resources of an established company

• Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)

• Be part of a team that operates one of the most powerful commercially available supercomputers

• Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings

Interviewing Process

• Level 1 - Interview with the Talent Acquisition Lead (General fit. Q&A)

• Level 2 - Interview with the Hiring Manager (Skills assessment)

• Level 3 - Interview with the C-level (Final)

• Reference and Background Checks: conducted after successful interviews

• Job Offer: provided to the selected candidate

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.