Technical Solutions Engineer

TensorWave(2 months ago)

HybridFull TimeMedior$121,436 - $161,461 (estimated)Engineering

About this role

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.

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Required Skills

Triaging
Resolution
Customer Communications
Cross-Functional Collaboration
Documentation
Enablement
Tooling
Automation
Success Partnership
Technical Support

+12 more

Qualifications

2–4 years in technical support, cloud operations, or SRE environments
Hands-on experience with Linux environments
Hands-on experience with Cloud compute platforms (AWS/GCP/Azure or similar)
Hands-on experience with Containerization or orchestration tools (e.g., Kubernetes, Docker, Terraform, SLURM)
Hands-on experience with AI/ML workloads
Hands-on experience troubleshooting APIs and REST/GraphQL calls
Familiarity with GPU-accelerated cloud environments

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.