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.
Preferred 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 Disability 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 race, color, religion, sex, disability, age, national origin, or veteran status.
Top Skills
What We Do
TensorWave is a cutting-edge cloud platform designed specifically for AI workloads. Offering AMD MI300X accelerators and a best-in-class inference engine, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more.
Send us a message to try it for free.
