Senior Machine Learning Engineer in Las Vegas

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Job DescriptionJob Description

Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.

About the role

We are seeking a Senior Machine Learning Engineer to build and operate the core systems that power large-scale ML training and inference across TensorWave’s GPU platform.

This role spans workload orchestration, cluster operations, performance optimization, and developer enablement for production ML workloads.

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

Required Experience

• 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.

Experience

• Experience working across 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

What We Bring

• Mission driven company

• Competitive Salary

• Stock Options

• 100% paid Medical, Dental, and Vision insurance

• Flexible PTO

• Paid Holidays

• 401(k)

• Parental Leave

• Flexible Spending Account

• Short Term Insurance

• Life and Voluntary Supplemental Insurance

• Mental Health Benefits through Spring Health

We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.

Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to , , , , , , , or veteran status.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.