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 role
We are seeking a Vice President of Engineering to lead all engineering functions across infrastructure, platform, hardware integration, and reliability.
This executive will partner closely with the CEO to set technical strategy, scale large GPU clusters, and deliver world-class performance and reliability for enterprise AI workloads.
This role is responsible for building and leading high-performing engineering teams, establishing strong technical standards, and ensuring TensorWave’s engineering organization can scale with the company’s growth while maintaining operational excellence.
Responsibilities
Own the engineering roadmap across compute infrastructure, software platform, networking, and data-center operations.
Lead, mentor, and scale high-performance engineering teams - infrastructure, systems, platform, SRE
Drive architecture and execution of large-scale AMD-based GPU clusters
Ensure reliability, performance, and security across all production systems
Collaborate with Product, Operations, and CEO on long-term technical strategy
Establish rigorous engineering processes, documentation, and quality standards
Manage budgets, hiring, and resource allocation to support rapid growth
Represent engineering in executive planning, customer discussions, and investor interactions as needed
Required Experience
Bachelor of Science in Computer Science, Computer Engineering, or a related technical field
15+ year of experience in software engineering, cloud computing, or related technical field
10+ years of engineering leadership in software engineering, cloud computing, or related technical field
Deep experience with large-scale compute systems, HPC, or GPU/accelerator infrastructure
Strong understanding of cluster orchestration, networking, distributed systems, and performance optimization
Proven ability to scale engineering organizations in high-growth environments
Exceptional communication and cross-functional leadership skills
Experience with AMD Instinct GPUs, Kubernetes, or high-bandwidth architectures
Preferred Experience
Master of Science in Computer Science, Computer Engineering, or a related technical field
Experience with a neocloud or hyper-scaler
Product minded
What We Bring
Mission driven company
Competitive Salary
Stock Options
100% paid Medical, Dental, and Vision insurance
Flexible PTO
Paid Holidays
401(k)
Parental Leave
Flexible Spending Account
Short Term Disability Insurance
Life and Voluntary Supplemental Insurance
Mental Health Benefits through Spring Health
We’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.
Top Skills
What We Do
TensorWave is a cutting-edge cloud platform designed specifically for AI workloads. Offering AMD MI300X accelerators and a best-in-class inference engine, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more.
Send us a message to try it for free.
