Senior Network Engineer

TLDR

Design and operate large-scale RoCEv2 data center networks for AI and ML, ensuring high availability across multi-tenant environments with modern automation tools.

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 Senior Network Engineer focused on implementing and operating large-scale, Arista-based RoCEv2 data center networks powering next generation AI and ML infrastructure.

You’ll work hand-in-hand with our network architect to design the infrastructure that keeps over 8,000 GPUs burring, and play a critical role in the implementation and maintenance of our next generation systems, with cluster sizes reaching over 100,000 GPUs.

You’ll work hands-on with high-speed optics, switching, and routing in production clusters and implement modern automation and tooling critical to how the network is deployed, validated, and operated.

Responsibilities

  • Design, deploy, and operate large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100,000+ GPUs

  • Own congestion management and performance tuning across RDMA fabrics, including PFC, ECN, and DCQCN, in production environments

  • Implement and maintain automation, validation, and observability tooling using Python, Ansible, Terraform, and modern DevOps workflows

  • Ensure high availability and reliability across multi-tenant environments by leading operational excellence, incident response, and continuous improvement

Required Experience

  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience

  • Deep experience with RDMA and RoCEv2 in large-scale production data centers supporting AI or HPC workloads

  • Strong Arista expertise, including EOS, hardware platforms, and operating high-speed Ethernet fabrics

  • Proven knowledge of congestion management and performance tuning using PFC, ECN, and DCQCN

  • Hands-on experience with high-speed optics and cabling including 400G, 800G, and AEC, AOC, DAC, and structured cabling in dense environments

  • Automation and operations mindset, with experience using Python, Ansible, Terraform, Git, and observability tooling in always-on production systems

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.

Benefits

Health Insurance

100% paid Medical, Dental, and Vision insurance

Paid Parental Leave

Parental Leave

Paid Time Off

Flexible PTO

Wellness Stipend

Mental Health Benefits through Spring Health

TensorWave delivers a high-performance cloud computing platform that leverages AMD Instinct™ GPUs to supercharge AI research and advanced workloads. Tailored for developers and researchers in the AI space, our platform removes infrastructure hurdles, enabling innovators to focus on pushing the boundaries of technology.

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