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Senior Solutions Engineer
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TensorWave·28 июля

Senior Solutions Engineer

🌍 УдалённоSeniorПолная занятость🌐 Глобал
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Наша компания

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

Чем предстоит заниматься

We're looking for a Senior Solutions Engineer to serve as the elite escalation point between our Global Operations Center (GOC) and our Core Engineering teams. You are the technical backstop for our most sophisticated customers teams training large models who cannot afford a single hour of downtime
You'll own the problems that go beyond runbooks, sitting at the intersection of customer success and engineering: resolving the hardest technical blockers and translating those findings into a more resilient product. If you're an engineer who loves the detective work of kernel-level debugging and high-performance networking, and who also thrives in the high stakes environment of customer-facing resolution, this is your role
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

Наши требования

5–9 years in Infrastructure Engineering, Platform Engineering, or SRE, with a specific focus on high-performance computing or large-scale AI stacks. Proven track record of managing complex production environments where system reliability is mission-critical
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
Prior experience in a customer-facing engineering role (e.g., Solutions Engineering, Technical Support Engineering)
Experience in high-uptime environments where 24/7/365 availability is required

Мы предлагаем

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
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws
T
TensorWave

ГрейдSenior
ЗанятостьПолная занятость
РегионНе Россия
ФорматУдалённо
ИсточникСкрыто
Опубликовано28 июля
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