Senior Solutions Engineer

About the Company

TensorWave's mission is to deliver seamless, secure, reliable, and resilient AI compute at scale. They have built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation.

Responsibilities

• Resolve complex escalations acting as the final authority on issues exceeding GOC scope
• Partner with customer technical leads to diagnose production issues and ensure rapid resolution
• Develop diagnostic scripts and workarounds to maintain customer operations
• Drive end-to-end P1 root cause analysis and deliver actionable post-incident analysis
• Convert recurring customer pain points into evidence-based feature requests for the product roadmap
• Document platform behaviors and refine GOC runbooks to build scalable knowledge

Requirements

• 5–9 years in Infrastructure Engineering, Platform Engineering, or SRE
• Deep experience in Kubernetes cluster administration and scheduler internals
• Proficiency in orchestrating GPU workloads and diagnosing training job failures using ROCm or CUDA
• Skilled in RDMA/RoCEv2, SRIOV, and BGP networking
• Expert knowledge of Linux kernel networking, hugepages, and cgroups
• Proficient in Python and Ansible for automation and diagnostic tool development
• Strong technical communication skills for presenting findings to executive leadership

Preferred Qualifications

• Prior experience in customer-facing engineering roles such as Solutions Engineering or Technical Support Engineering
• Experience working in high-uptime environments requiring 24/7/365 availability

Benefits

• Stock Options
• 100% paid Medical, Dental, and Vision insurance
• Company Health Savings Account Contributions
• 100% paid Short Term and Long Term Disability Insurance
• 401(k)
• Flexible PTO and Paid Holidays
• Parental Leave