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Customer Engineer (L2)
TensorWaveLas Vegas, United Statesfull_timeVerifiedPosted 5 May 2025
About the role
TensorWave is looking for a Customer Engineer (L2) to ensure our customers get the most out of our high-performance GPU cloud platform. This is a technical, post-sales engineering role, where you will support enterprise customers in deploying, optimizing, and troubleshooting their GPU clusters, as they work to optimize their AI/ML workloads. As the primary technical contact for customers, you will work closely with Customer Success, Engineers, Solutions architects, and Support teams to resolve issues, provide best practices, and help customers efficiently utilize Tensorwave systems.
Your role will be critical in bridging the gap between customers and our engineering team, ensuring that feedback is incorporated into data center, and cluster improvements, and optimization.
This position is ideal for a technically strong engineer who enjoys problem-solving, working directly with customers, and helping organizations optimize infrastructure and customer experience.
Responsibilities:
• Customer Support & Troubleshooting: Act as the first line of technical support for customers, diagnosing issues related to setup and GPU performance.• Performance Optimization: Help customers identify bottlenecks and suggest improvements for customer ease of use.• Customer Enablement & Training: Develop documentation, conduct training sessions, and create best-practice guides to help customers get the most from TensorWave’s platform.• Collaboration with Engineering: Work closely with MLE, MLOps, and infrastructure teams to escalate and resolve complex technical issues.• Feedback & Continuous Improvement: Gather customer insights and provide input on feature improvements, usability enhancements, and emerging AI infrastructure needs.
We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at Tensorwave. Join us as we redefine the possibilities of intelligent computing.
Your role will be critical in bridging the gap between customers and our engineering team, ensuring that feedback is incorporated into data center, and cluster improvements, and optimization.
This position is ideal for a technically strong engineer who enjoys problem-solving, working directly with customers, and helping organizations optimize infrastructure and customer experience.
Responsibilities:
• Customer Support & Troubleshooting: Act as the first line of technical support for customers, diagnosing issues related to setup and GPU performance.• Performance Optimization: Help customers identify bottlenecks and suggest improvements for customer ease of use.• Customer Enablement & Training: Develop documentation, conduct training sessions, and create best-practice guides to help customers get the most from TensorWave’s platform.• Collaboration with Engineering: Work closely with MLE, MLOps, and infrastructure teams to escalate and resolve complex technical issues.• Feedback & Continuous Improvement: Gather customer insights and provide input on feature improvements, usability enhancements, and emerging AI infrastructure needs.
Preferred Requirements:
- Equivalent of a Bachelor’s Degree in Computer Science, AI/ML, or a related field, or a combination of education and experience in Technical Customer Support.
- 2-3 years of experience in Linux system administration and support, Enterprise Hardware management, or Infrastructure support.
- Post-Sales Customer Support in a B2B or B2C environment.
- Strong technical aptitude and interest in learning new concepts and technology.
- Ability to work with technical and non-technical team members, customers, and capability to communicate technical concepts in a way that non-technical people can understand.
- Strong communication and problem-solving skills, with a customer-first mindset.
- Experience in a fast-paced startup environment is a plus.
- Experience in AI/ML Ops is a plus.
We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at Tensorwave. Join us as we redefine the possibilities of intelligent computing.
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