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 roleWe'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.ResponsibilitiesAct as first and second line of defense for technical issues - VMs, networking, API errors, orchestration tools, GPU utilizationManage tickets, live chat, and calls across Premium/Platinum support tiers. Communicate clearly and empathetically to both technical and non-technical usersEscalate critical bugs, provide logs and context to engineering, and contribute to product improvement feedback loopsWrite clear, technically accurate documentation and playbooks to improve support efficiency and self-serviceHelp us scale support by improving diagnostics tooling, chatbots, and macros to reduce MTTRSupport QBRs and onboarding sessions for top-tier customers alongside Customer Success Managers.Required ExperienceBachelor’s degree in Information Technology, Computer Science, Network Engineering, or a related field, or equivalent hands-on experience2+ years in technical support, cloud operations, or SRE environmentsExperience with Linux environments - logs, bash, process, thread managementExperience with Cloud compute platforms - AWS/GCP/Azure or similarExperience with Containerization or orchestration tools - Kubernetes, Docker, Terraform, SLURMExperience with AI/ML workloads - inference, training, fine-tuningExperience Troubleshooting APIs and REST/GraphQL callsStrong communicator with the ability to simplify complex technical issuesComfort in a fast-paced startup environment where priorities shift rapidlyFamiliarity with GPU-accelerated cloud environmentsWhat We BringMission driven companyCompetitive SalaryStock Options100% paid Medical, Dental, and Vision insuranceFlexible PTOPaid Holidays401(k)Parental LeaveFlexible Spending AccountShort Term Disability InsuranceLife and Voluntary Supplemental InsuranceMental Health Benefits through Spring HealthWe’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.