Customer Engineer

at Nebius

📍 Canada
📍 United States

USD 179,500-224,300 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 AWS @ 3 Ansible @ 6 Azure @ 3 CUDA @ 7 Deep Learning @ 4 GPU @ 7 HPC @ 4 IaC KubeFlow @ 4 Kubernetes @ 4 Machine Learning @ 7 Mentoring @ 4 OpenCL @ 7 Project Management @ 7 PyTorch @ 4 Python @ 4 Slurm @ 4 TensorFlow @ 4 Terraform @ 6

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting data and model training through production deployment. The Customer Engineer will support strategic GPU Cloud services customers as a trusted technical advisor, helping them design, deploy, and scale AI solutions involving large-scale GPU workloads.

Responsibilities

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

Requirements

5+ years of experience in roles such as Solutions Architect, Technical Account Manager, or Customer Engineer.
Hands-on experience with cloud services and AI/ML workloads.
Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
Experience with Kubernetes and Python programming.
Strong understanding of GPU computing, including machine learning training, inference workloads, and GPU stacks such as CUDA and OpenCL.
Customer-centric approach with the ability to build trust and foster long-term relationships.
Ability to explain technical concepts to technical and non-technical audiences.

Preferred Qualifications

Hands-on experience with HPC/ML orchestration frameworks such as Slurm and Kubeflow.
Experience with deep learning frameworks such as PyTorch and TensorFlow.
Familiarity with machine learning tools from NVIDIA, AWS, Microsoft Azure, and Google Cloud.
Strong project management skills and the ability to prioritize tasks and deliver on deadlines.
Experience mentoring technical teams and driving team growth.
Expertise in stakeholder negotiation to support problem resolution and collaboration.

Benefits

100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan with up to a 4% company match and immediate vesting.
Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
Remote work reimbursement of up to $85 per month for mobile and internet.
Company-paid short-term, long-term, and life insurance coverage.
Career growth and learning opportunities, flexibility and ownership, a collaborative culture, and the opportunity to work on impactful AI projects.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility. Nebius is an equal opportunity employer.