Senior Network Automation Engineer
TensorWave26 days ago
Las Vegas, NV, USASenior
Responsibilities
- Design automation for network deployment and lifecycle management.
- Build validation, testing, and reconciliation workflows.
- Develop CI/CD pipelines for network changes.
- Support the growth of large-scale Ethernet fabrics.
- Provide automated configuration and firmware-management support for networking equipment.
- Integrate NetBox as a source of truth.
Requirements
- Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- At least 5 years of networking automation or similar engineering experience.
- Expertise in Python, Java, Go, or Rust.
- Expertise with automation tooling including Ansible and NetBox.
- Experience with CI/CD pipelines and Git-based workflows.
- Multi-vendor experience with Juniper, Cisco, Arista, and Whitebox networking equipment.
- Experience with Junos, IOS/IOS-XE, NX-OS, EOS, and SONiC network operating systems.
- Preferred qualifications include experience with 100G+ environments, AI, GPU, or HPC systems, automated cabling validation, Zero Touch Provisioning, scale-up and scale-out architectures, very large Ethernet fabrics, and large edge and ingress networks.
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, including pet and legal insurance.
- Supplementary health benefits, including discounted virtual healthcare appointments and serious illness support.
- Flexible Spending Account and 401(k).
- Employee Assistance Program.
- Flexible PTO, paid holidays, and parental leave.
- Other in-office perks.
About TensorWave
TensorWave builds an AMD‑exclusive cloud platform for AI workloads, providing Instinct MI325X and MI355X GPU instances and tooling for training, fine‑tuning, and inference, including an inference engine. It sells infrastructure-as-a-service to startups and enterprises that need scalable AI compute. Founded in 2023 and headquartered in Las Vegas, Nevada, the company focuses on GPU‑accelerated cloud infrastructure for generative AI and machine learning teams.