Senior Machine Learning Engineer @ TensorWave

Senior Machine Learning Engineer @ TensorWave - Back to TensorWave’s Job Listings Senior Machine Learning Engineer Location Las Vegas, Nevada; Remote Employment Type Full time Location Type On-site Department EngineeringMachine Learning About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We’re looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave’s GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. What You’ll Do 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 Who You Are Required 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. Preferred Qualifications Experience working across schedulers, orchest