TensorWave
A Technical Solutions Engineer at TensorWave serves as a vital support resource for enterprise customers specializing in AI infrastructure, focusing on GPU workloads and cloud orchestration. This role involves managing technical issues, facilitating clear communication across support tiers, and collaborating with engineering for product improvements. Additionally, the engineer will create documentation, enhance diagnostic tools, and assist in customer onboarding to ensure efficient problem resolution and facilitate customer trust and adoption.
Headquarters
Las Vegas, Nevada, United States
Company Size
1-10 employees
Founded
2023
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.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
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
View leadership team, funding history,
and employee contacts for TensorWave.
TensorWave didn’t post a salary, so this is our estimate from similar listings.
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