Las Vegas, Nevada; Remote · hace 11 meses
Diseñarás, operarás y mejorarás la infraestructura detrás del entrenamiento e inferencia de ML distribuidos a gran escala en la plataforma GPU de TensorWave, resolviendo problemas de rendimiento y fiabilidad en toda la pila.
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 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 Are Required 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 • Stock Options • 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 • 401(k) • Employee Assistance Program • Flexible PTO • Paid Holidays • Parental Leave • Other 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.
Publicada el 16 nov 2025
