TensorWave

ML Solutions Engineer

TensorWave

4 months ago
Remote
Full Time
Senior
0 applicants
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TensorWave
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About this role

The ML Solutions Engineer at TensorWave focuses on GPU portability and performance optimization, specifically migrating and enhancing CUDA workloads to run efficiently on ROCm and AMD hardware. This senior role involves collaborating with internal teams and third-party developers, profiling and debugging GPU kernels, and contributing to ROCm enablement across open-source ML frameworks. The engineer provides technical guidance on best practices, creates documentation, and acts as a liaison to ensure customer needs are met effectively while advancing the ROCm ecosystem.

Skills

TensorWave

About TensorWave

tensorwave.com

TensorWave is a cloud computing platform specializing in artificial intelligence (AI) and high-performance computing (HPC) services powered by AMD Instinct™ GPUs. The company provides a scalable and memory-optimized infrastructure designed to facilitate the deployment and management of demanding AI workloads, including low-latency inference and large language models. With a focus on efficiency and cost-effectiveness, TensorWave's offerings include bare-metal solutions and managed inference services, tailored to meet the needs of enterprises looking to harness the power of next-generation AI technologies.

About TensorWave

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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