Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.
About the role
We're seeking a Technical Solutions Engineer on our Customer Experience team, you’ll be the front line of a high-performance support model that bridges traditional L1/L2 roles with the technical rigor demanded by AI infrastructure customers.
You’ll help enterprise ML engineers, DevOps teams, and CTOs solve complex challenges involving GPU workloads, infrastructure orchestration, and deployment at scale.
Your mission? Deliver timely, precise, and white-glove technical support that builds trust and accelerates adoption with the most exciting customer partners in the industry.
TensorWave is growing fast, and this role is a rare opportunity to get in early, grow with the team, and carve out your path as we scale.
Responsibilities
Act as first and second line of defense for technical issues - VMs, networking, API errors, orchestration tools, GPU utilization
Manage tickets, live chat, and calls across Premium/Platinum support tiers. Communicate clearly and empathetically to both technical and non-technical users
Escalate critical bugs, provide logs and context to engineering, and contribute to product improvement feedback loops
Write clear, technically accurate documentation and playbooks to improve support efficiency and self-service
Help us scale support by improving diagnostics tooling, chatbots, and macros to reduce MTTR
Support QBRs and onboarding sessions for top-tier customers alongside Customer Success Managers.
Required Experience
Bachelor’s degree in Information Technology, Computer Science, Network Engineering, or a related field, or equivalent hands-on experience
2+ years in technical support, cloud operations, or SRE environments
Experience with Linux environments - logs, bash, process, thread management
Experience with Cloud compute platforms - AWS/GCP/Azure or similar
Experience with Containerization or orchestration tools - Kubernetes, Docker, Terraform, SLURM
Experience with AI/ML workloads - inference, training, fine-tuning
Experience Troubleshooting APIs and REST/GraphQL calls
Strong communicator with the ability to simplify complex technical issues
Comfort in a fast-paced startup environment where priorities shift rapidly
Familiarity with GPU-accelerated cloud environments
What We Bring
Mission driven company
Competitive Salary
Stock Options
100% paid Medical, Dental, and Vision insurance
Flexible PTO
Paid Holidays
401(k)
Parental Leave
Flexible Spending Account
Short Term Disability Insurance
Life and Voluntary Supplemental Insurance
Mental Health Benefits through Spring Health
We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.
Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.
Top Skills
What We Do
TensorWave is a cutting-edge cloud platform designed specifically for AI workloads. Offering AMD MI300X accelerators and a best-in-class inference engine, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more.
Send us a message to try it for free.
