2 days ago
Remote, United StatesSenior
Base Salary
$210k - $262k/yr
Responsibilities
- Lead customer transitions from proof of concept to production and drive time-to-production and time-to-value.
- Ensure customer AI workloads are deployed, stable, scalable, performant, reliable, and cost-efficient.
- Understand customer architectures and use cases, identify bottlenecks, and provide actionable technical guidance.
- Act as the primary technical contact for production issues and coordinate incident resolution with internal teams.
- Work directly with customer engineering teams and provide structured feedback to Product and Infrastructure teams.
- Identify opportunities to optimize deployments and expand customer usage.
Requirements
- Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar.
- Solid understanding of cloud or infrastructure systems, distributed systems or high-load applications, and AI/ML workloads such as LLM inference.
- Ability to troubleshoot and reason about system performance.
- Experience working directly with technical customers, including engineering or ML teams.
- Strong communication, ownership, prioritization, and proactive problem-solving skills.
- Preferred experience includes GPU workloads, AI infrastructure, solutions engineering, SRE, or technical support in B2B environments.
Benefits
- Remote work from the United States.
- Company-paid medical, dental, vision, short-term disability, long-term disability, and life insurance coverage for employees and families where applicable.
- 401(k) plan with up to a 4% company match and immediate vesting.
- Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet.
- Career growth and learning opportunities in an international AI infrastructure environment.
Categories
Forward Deployed
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.