What are the responsibilities and job description for the Network Engineer position at Gimlet Labs, Inc.?
About Us
Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them.
The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
About This Role
Gimlet Labs is seeking a Network Engineer to design, build, and scale the network infrastructure powering production-scale AI and distributed systems for frontier labs, hyperscalers, and other high-performance compute environments.
This is an opportunity to build the network foundation for systems serving real production traffic at massive scale, while also shaping the network architecture for the next generation of AI datacenters. You will help determine how future high-performance compute environments are designed, deployed, interconnected, and operated.
The ideal candidate has deep technical knowledge of modern data center networking and is comfortable operating across physical infrastructure, network architecture, deployment workflows, and operational troubleshooting. We are looking for someone who can operate independently, drive infrastructure improvements, and help build scalable networking foundations for high-performance compute and AI workloads.
What You Will Work On
Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them.
The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
About This Role
Gimlet Labs is seeking a Network Engineer to design, build, and scale the network infrastructure powering production-scale AI and distributed systems for frontier labs, hyperscalers, and other high-performance compute environments.
This is an opportunity to build the network foundation for systems serving real production traffic at massive scale, while also shaping the network architecture for the next generation of AI datacenters. You will help determine how future high-performance compute environments are designed, deployed, interconnected, and operated.
The ideal candidate has deep technical knowledge of modern data center networking and is comfortable operating across physical infrastructure, network architecture, deployment workflows, and operational troubleshooting. We are looking for someone who can operate independently, drive infrastructure improvements, and help build scalable networking foundations for high-performance compute and AI workloads.
What You Will Work On
- Design, deploy, and scale datacenter network infrastructure supporting AI workloads, distributed systems, and high-performance compute environments.
- Lead network provisioning, device configuration, connectivity validation, deployment testing, and production turn-up activities for new infrastructure builds and hardware expansions.
- Build and maintain scalable network topology designs, IP plans, deployment standards, operational documentation, and infrastructure readiness processes.
- Troubleshoot complex networking, routing, hardware, connectivity, and performance issues across physical infrastructure and distributed systems environments.
- Partner closely with infrastructure, systems, deployment, and operations teams to improve network reliability, deployment velocity, operational readiness, and infrastructure scalability.
- Drive automation and operational improvements across provisioning, configuration management, monitoring, deployment validation, and incident response workflows.
- Have experience designing, deploying, and operating production network infrastructure.
- Have strong networking fundamentals and can reason about routing, switching, connectivity, performance, and reliability issues.
- Are comfortable troubleshooting complex problems that span hardware, software, and distributed systems boundaries.
- You enjoy building systems and improving operational processes through automation.
- Thrive in highly collaborative environments and can work effectively across engineering and infrastructure teams.
- Take ownership of problems end-to-end and are comfortable operating in ambiguous, fast-moving environments.
- Experience with AI, HPC, GPU, or large-scale distributed infrastructure.
- Experience with Arista, Cisco, Juniper, or NVIDIA networking platforms.
- Experience with network automation using Python, Ansible, Terraform, or similar tooling.
- Familiarity with RDMA, RoCE, InfiniBand, or high-performance networking environments.
Salary : $250,000 - $320,000