Senior Network Automation Engineer
TensorWave20 hours 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 for networking gear.
- 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.
- 5+ years of networking automation or similar engineering experience.
- Demonstrated expertise in Python, Java, Go, or Rust.
- Expertise with automation tooling including Ansible and NetBox.
- Experience with CI/CD pipelines and Git-based workflows.
- Experience with Juniper, Cisco, Arista, and Whitebox networking environments.
- Experience with Junos, IOS/IOS-XE, NX-OS, EOS, and SONiC network operating systems.
- Preferred: experience with 100G+ environments, AI, GPU, or HPC systems.
- Preferred: experience with automated cabling validations, 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.
- Other insurance options, including pet and legal insurance.
- Supplementary health benefits, including 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.
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.