ML Cluster Operations Engineer
TensorWaveLas Vegas, Nevada, United States
Posted November 17, 2025
Full Time
About the Company
TensorWave provides a cloud platform optimized for AI workloads, delivering high-performance compute through AMD MI300X, MI325X, and MI355X accelerators. The platform supports end-to-end machine learning pipelines, including training, fine‑tuning, and inference, enabling teams to accelerate model development and deployment. By focusing exclusively on AI workloads, TensorWave offers tailored infrastructure and simplified integration that reduces operational complexity compared to general‑purpose cloud services. Its emphasis on cutting‑edge AMD hardware and cloud‑native orchestration makes it a preferred choice for organizations seeking scalable, cost‑effective AI solutions.
Job Description
TensorWave is seeking a senior Machine Learning Engineer to lead the evolution of our managed Slurm and Kubernetes offerings, as well as internal health checking and cluster automation.
Requirements
- 5+ years of experience in cloud infrastructure, HPC, or machine learning roles
- Significant hands-on experience with Slurm in production HPC/ML environments
- Strong knowledge of distributed ML languages and frameworks
- Understanding of node lifecycle, including health checks, prolog / epilog scripts, and draining
- Deep understanding of security, compliance, and resilience in containerized workloads
Benefits
- Stock Options
- 100% paid Medical, Dental, and Vision insurance
- Life and Voluntary Supplemental Insurance
- Short Term Disability Insurance
- Flexible Spending Account
- 401(k)
- Flexible PTO
- Paid Holidays
- Parental Leave
- Mental Health Benefits through Spring Health