Network Engineer
We are looking for a Network Engineer to design, deploy, and troubleshoot high-throughput, low-latency networks that support large-scale AI training and inference workloads. In this role, you'll work at the intersection of high-performance computing and hyperscale infrastructure, enabling next-generation AI systems through robust and scalable networking solutions.
You'll leverage advanced networking protocols and technologies-such as RoCEv2, Infiniband, and smartNICs-while applying foundational expertise in L2/L3 networking, telemetry, and diagnostics. A strong background in Linux-based systems, network automation (Python, Ansible, Terraform), and performance tuning is essential. This is a high-impact opportunity to shape the backbone of AI infrastructure at hyperscale.
Responsibilities:
- Design and deploy high-throughput, low-latency network systems to support AI training and inference infrastructure.
- Troubleshoot and optimize Linux-based networking stacks across thousands of nodes.
- Tune Linux kernel networking parameters for performance.
- Automate network provisioning, monitoring, and diagnostics using Python, Ansible, Terraform, or equivalent tools.
- Implement and manage L2/L3 network topologies, including EVPN, VLAN, BGP, OSPF, and static routing.
- Support and troubleshoot Infiniband, RoCEv2, SR-IOV, and/or smartNIC-based deployments.
- Analyze performance metrics to identify and resolve packet loss, congestion, jitter, and other network anomalies.
- Integrate telemetry and logging solutions using tools such as Prometheus, Grafana, and sFlow/NetFlow.
- Collaborate with security and platform teams to enforce network segmentation, ACLs, and policy enforcement.
- Participate in design reviews, capacity planning, and incident response for critical infrastructure.
Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.
Basic Qualifications:
- Minimum 5+ years of experience as a Network Engineer working in Linux-dominant environments.
- Strong understanding of TCP/IP stack, multicast, DNS, DHCP, NAT, and QoS.
- Hands-on experience with network configuration on Linux systems.
- Proven skills in scripting and automation.
- Experience deploying and managing enterprise-grade switches, routers, and NICs.
- Ability to troubleshoot across physical, data link, and network layers using tools.
- Bachelor’s degree or equivalent (minimum 12 years) work experience.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or equivalent experience.
- Experience in hyperscale or high performance compute infrastructure, supporting AI/ML or cloud-scale services.
- Familiarity with network and HPC monitoring/provisioning tools used by hyperscale platforms at scale.
- Understanding of network security principles, including firewalls, VPNs, microsegmentation, and secure provisioning.
- Experience with zero-touch provisioning, out-of-band management, and network bootstrap pipelines.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.