Customer Engineer

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential cloud infrastructure client in their search for a Customer Engineer to support strategic GPU cloud services customers across the United States and Canada. This is a remote position offering the opportunity to work with cutting-edge AI/ML infrastructure at scale.

In this role, you'll serve as a trusted technical advisor to clients deploying large-scale GPU workloads involving hundreds to thousands of GPUs. You'll help organizations design, deploy, and optimize AI solutions while collaborating closely with sales and product teams to drive customer success and business growth.

Responsibilities

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability
• Partner with the sales team to identify new opportunities, promote product capabilities, and deliver technical presentations
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges

What We're Looking For

Required qualifications:

• 5+ years in roles such as 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 both technical and non-technical audiences
• Authorization to work in the United States or Canada

Preferred qualifications:

• 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 major 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

How We Work With You

When you apply through Get A Job.ai, one of our recruiters will review your profile and conduct an initial screening conversation. If there's a strong match, we'll submit your candidacy to our client for consideration. Please apply exclusively through our platform and do not contact the client directly, as this allows us to best represent your interests throughout the hiring process.

Pay

Pay via Get A Job.ai: $179,500–$224,300 USD base compensation. Final offer will be determined based on experience, skills, qualifications, and geographic location.

Benefits include:

• 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) with up to 4% company match and immediate vesting
• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
• Up to $85/month remote work reimbursement for mobile and internet
• Company-paid short-term, long-term disability, and life insurance coverage

Equal Opportunity: Get A Job.ai and our clients are committed to fostering inclusive, diverse workplaces. We provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.