Senior ML Infrastructure Engineer - GPU & Scale

TensorWave; Las Vegas (NV); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive Salary

Stock Options

100% paid Medical, Dental, and Vision insurance

Flexible PTO

Paid Holidays

401(k)

Parental Leave

Flexible Spending Account

Short Term Disability Insurance

Life and Voluntary Supplemental Insurance

Mental Health Benefits

Job summary

A cutting-edge technology company is seeking a Senior Machine Learning Engineer to build and operate systems that power large-scale machine learning training. This role includes designing ML infrastructure, optimizing performance, and enhancing developer experiences. Candidates should have a Bachelor’s degree in Computer Science and expertise in SLURM, Kubernetes, and GPU workloads. The company offers competitive salary, stock options, full medical benefits, flexible PTO, and a mission-driven culture promoting inclusion.

Qualifications

• Expertise supporting production ML systems using SLURM and Kubernetes.
• Strong understanding of GPU-accelerated workloads and distributed systems concepts.
• Solid Linux fundamentals and experience debugging infrastructure-level issues.
• Ability to build automation and tooling.

Responsibilities

• Design and improve ML infrastructure systems supporting distributed workloads.
• Build workload execution and orchestration patterns across GPU environments.
• Troubleshoot performance and scalability issues.
• Partner with teams to improve developer experience.

Skills

Production ML systems

Performance optimization

Cluster operations

Workload orchestration

Automation tooling

Education

Bachelor of Science in Computer Science or related field

Tools

SLURM

Kubernetes

Python

Go

Job description

A cutting-edge technology company is seeking a Senior Machine Learning Engineer to build and operate systems that power large-scale machine learning training. This role includes designing ML infrastructure, optimizing performance, and enhancing developer experiences. Candidates should have a Bachelor’s degree in Computer Science and expertise in SLURM, Kubernetes, and GPU workloads. The company offers competitive salary, stock options, full medical benefits, flexible PTO, and a mission-driven culture promoting inclusion.