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.
We are seeking a Key Customers Solution Architect to join our client's team. This role offers the chance to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to sustainable AI infrastructure development.
Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML challenges
Guide customers in optimizing GPU performance for ML training and inference workloads, and being a single point of technical expertise for users
Partner with the sales team to identify new opportunities and promote the latest products
Act as a bridge to product teams, providing customer feedback and ensuring alignment with customer requirements
Engage with stakeholders, negotiate solutions, and drive alignment to address customer challenges
5+ years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads
Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible
Experience with Kubernetes and Python programming
Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL)
Customer-centric approach with a proven ability to build trust and foster long-term relationships
Strong ability to explain technical concepts to technical and non-technical audiences
Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers
Strong project management skills, with the ability to prioritize tasks and deliver on deadlines
Proven experience mentoring technical teams and driving team growth
Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration
Legal authorization to work in the United States on a full-time basis without sponsorship
Passion for AI and transformative technologies
A genuine interest in optimizing and scaling ML solutions for high-impact results
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
Communication and collaboration skills, with experience working in cross-functional teams
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 and stock options plan
Flexible remote work environment
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Company-paid short-term, long-term disability, and life insurance coverage
Up to $85/month for mobile and internet
Opportunity to work with cutting-edge AI technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)
Be part of a team operating 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
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 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.
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