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Senior Machine Learning Engineer

TensorWave· Engineering
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Las Vegas, Nevada, RemoteFull-timePosted 6mo ago

About the role

Senior Machine Learning Engineer to design, operate, and improve core ML infrastructure powering distributed training and inference on TensorWave’s GPU platform.

Responsibilities

  • Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads
  • Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments
  • Troubleshoot performance, reliability, and scalability issues across the ML stack
  • Partner with ML, systems, and platform teams to improve developer experience and operational efficiency

Qualifications

  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
  • 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 - Python, Go, etc.

Skills

Required:SLURMKubernetesGPU-accelerated workloadsLinuxAutomation tooling

Benefits

  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks
Last updated Jul 16, 2026. Interested? Apply on the company site.
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About TensorWave

Next-Gen AI Infrastructure

TensorWave: AI & HPC Cloud with AMD Instinct™

AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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