About the RoleWe'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 AreRequired 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, 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 Offer- 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
- Employee Assistance Program
