Senior Solutions Engineer
RemoteFull-timePosted 2mo ago
About the role
Senior Solutions Engineer to act as the escalation point between GOC and Core Engineering, owning complex technical blockers for customers training large models, with a focus on kernel-level debugging, high-performance networking, and translating findings into a resilient product.
Responsibilities
- Resolve Complex Escalations: Act as the final authority on issues exceeding GOC scope, utilizing code-level debugging and architectural investigation.
- Direct Customer Engagement: Partner with customer technical leads to diagnose production issues, ensuring transparency and rapid resolution through active collaboration.
- Iterative Problem Solving: Develop diagnostic scripts and workarounds to maintain customer operations while long-term patches are in development.
- Drive Root Cause Analysis: Own end-to-end P1 resolution, partnering with TAMs to deliver clear, actionable post-incident analysis.
- Bridge to Engineering: Convert recurring customer pain points into evidence-based feature requests, influencing product roadmap to resolve systemic failures.
- Build Scalable Knowledge: Document non-obvious platform behaviors and refine GOC runbooks, ensuring institutional knowledge grows with every incident.
Qualifications
- 5–9 years in Infrastructure Engineering, Platform Engineering, or SRE, with a specific focus on high-performance computing or large-scale AI stacks
- Kubernetes Expert: Deep experience in cluster administration and scheduler internals; comfortable reading/modifying controller code
- AI/GPU Infrastructure Specialist: Proficient in orchestrating GPU workloads and diagnosing training job failures using ROCm or CUDA
- Network Pathologist: Skilled in RDMA/RoCEv2, SRIOV, and BGP; capable of interpreting switch telemetry to identify silent packet drops
- Linux Power User: Expert in kernel networking, hugepages, and cgroups; able to debug at the OS layer when applications are silent
- Builder Mindset: Proficient in Python and Ansible; capable of writing custom diagnostic tools to automate remediation
- Executive Communicator: Strong technical rigor when presenting findings to VPs of Engineering, maintaining trust while delivering difficult updates
Skills
Required:KubernetesAI/GPU infrastructureNetworking with advanced conceptsLinux system debuggingPython & AnsibleCommunication
Benefits
- Stock Options
- 100% paid Medical, Dental, and Vision insurance for Employees
- Company Health Savings Account Contributions
- 100% paid Short Term and Long Term Disability Insurance for Employees
- Life and Voluntary Supplemental Insurance Options
- Other Insurance Options, such as Pet & Legal Insurance
- Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
- Flexible Spending Account
- 401(k)
- Employee Assistance Program
- Flexible PTO
- Paid Holidays
- Parental Leave
- Other In-Office Perks
Last updated Jul 30, 2026. Interested? Apply on the company site.
About TensorWave
Next-Gen AI Infrastructure
TensorWave: AI & HPC Cloud with AMD Instinct™
AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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