TensorWave
Senior Machine Learning Engineer
Las Vegas, Nevada +1 · On-site · Senior · Full-time · Posted Nov 17, 2025
- Location
- Las Vegas, Nevada
Remote - Education
- Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- Visa sponsorship
- Offers are contingent upon verification of identity and authorization to work in the United States, as required by law.
About the job
Build and operate core ML infrastructure for large-scale training and inference across TensorWave’s GPU platform.
What you'll do
- Design, operate, and improve infrastructure for distributed training and inference.
- Build repeatable workload execution and orchestration patterns in shared GPU environments.
- Troubleshoot ML-stack performance, reliability, and scalability issues; partner with ML, systems, and platform teams to improve developer experience and operational efficiency.
What they ask for
- 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 infrastructure debugging experience.
- Ability to build automation and tooling using Python, Go, etc.
Nice to have
- Experience with schedulers, orchestration platforms, or cluster managers.
- Familiarity with large-scale GPU environments or HPC-style systems; experience improving infrastructure reliability, utilization, or performance at scale.
Tools
SLURM, Kubernetes, Linux, Python, Go
AI focus
Supports large-scale ML training and inference on GPU infrastructure.
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