TensorWave is an AMD-exclusive cloud platform designed specifically for AI workloads. Offering AMD Instinct MI325X and MI355X GPUs, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more.
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TensorWave

The AI & HPC Cloud powered by AMD Instinct™ Series GPUs. 🌊

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 workloadsBuild reliable, repeatable workload execution and orchestration patterns across shared GPU environmentsTroubleshoot performance, reliability, and scalability issues across the ML stackPartner 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 experienceExpertise supporting production ML systems using SLURM and KubernetesStrong understanding of GPU-accelerated workloads and distributed systems conceptsSolid Linux fundamentals and experience debugging infrastructure-level issuesAbility to build automation and tooling - Python, Go, etc. 

Preferred Qualifications

Experience working across schedulers, orchestration platforms, or cluster managersFamiliarity with large-scale GPU environments or HPC-style systemsExperience improving infrastructure reliability, utilization, or performance at scale

What we offer

Stock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

