Note: The job is a remote job and is open to candidates in USA. Berkeley Lab, through NERSC, operates high-performance computing and networking infrastructure supporting advanced scientific research. The Network Engineer will engineer, automate, monitor, optimize, and secure high-performance data center and HPC/AI networks, with Level 4 responsibilities additionally focused on architecture, technical leadership, and AI/ML-driven network operations.
Responsibilities
- Implement, operate, maintain, and improve network automation and observability solutions
- Contribute to Data Center modernization efforts and NERSC’s Smart Facility initiative
- Support efforts to design and deliver network services to address emerging needs (e.g., American Science Cloud, new Edge services)
- Continuously monitor and optimize network performance, focusing on reducing latency, maximizing throughput, and improving fault tolerance
- Create and maintain comprehensive network documentation, including physical and logical topology diagrams
- Collaborate with the Security Group to implement security measures for data integrity and privacy, ensuring high availability and reliability through redundancy and failover mechanisms
- Share on-call rotation with colleagues and serve as an escalation contact for service incidents
- Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of multiple variables
- Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results
- Build effective working relationships with technical partners and stakeholders across disciplines
- Architect, develop, and establish technical direction for network automation, observability, and self-healing capabilities
- Lead Data Center modernization efforts in support of NERSC’s Smart Facility initiative and emerging needs e.g., American Science Cloud Design, develop, and maintain automation frameworks, infrastructure-as-code, and software solutions to manage, optimize, and self-heal the HPC and data center network
- Build and integrate AI/ML-driven observability, predictive analytics, and automated remediation capabilities into network operations
- Independently develop technical approaches to complex and novel networking problems
- Exercise significant technical judgment when evaluating architecture, tools, and implementation approaches
- Establish methods and technical practices for new or ambiguous assignments
Skills
- Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience
- 5+ years of IP networking experience in Data Center or LAN environments
- 2+ years of experience with network automation and/or network performance optimization
- Project management experience in developing technical project scope, schedule and budget
- Strong written, verbal, listening, and presentation skills; effective collaboration skills with technical peers, vendors, and customers
- Ability to resolve complex issues in creative and effective ways
- Ability to network and collaborate with key contacts outside their own area of expertise
- Demonstrated ability to work effectively as part of a cross-disciplinary team
- Typically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience
- 10+ years of IP networking experience in Data Center or LAN environments
- 4+ years of experience with network automation and/or network performance optimization
- Demonstrated project management expertise, specifically, in leading the development of technical project scope, schedule and budget
- Excellent written, verbal, listening, and presentation skills; excellent communication and collaboration skills with technical peers, vendors, and customers
- Expert-level capabilities in configuring, troubleshooting, and using IPv4/IPv6 routing protocols, preferably BGP, VXLAN, L3VPN, OSPF, and/or ISIS in a WAN or LAN environment
- Strong software development skills in Python or Go and experience with network automation tools (Ansible, Terraform, eAPI, etc.)
- Demonstrated experience with AI-driven networking, intent-based networking, or ML-based network optimization
- Demonstrated experience in leading network technology migrations or upgrades in high-performance computing environments
- Demonstrated experience in automating the network's daily operational, deployment and monitoring tasks
- Demonstrated experience with RDMA (Remote Direct Memory Access), InfiniBand, HPC Protocol, RoCE (RDMA over Converged Ethernet)
- Demonstrated experience working with Network Management platforms like Arista CloudVision, NVIDIA UFM, Dell SFM
- Demonstrated experience in designing and implementing network security architectures, including segmentation (e.g., VRFs, micro-segmentation), access control (ACLs), encryption (IPsec/MACsec), and threat detection/mitigation in large-scale enterprise or HPC environments
- Demonstrated experience in hybrid cloud networking, including connectivity models (VPN, Direct Connect/ExpressRoute), multi-cloud architectures, and integrating on-prem HPC or data center networks with public cloud environments
Benefits
- Exceptional health and retirement benefits, including pension or 401K-style plans
- Opportunities to grow in your career through the Tuition Assistance Program
- A culture where you’ll belong - we are invested in our teams!
- Accruing vacation and sick time
- Winter Holiday Shutdown every year
- Parental bonding leave (for both mothers and fathers)
- Pet insurance
- Flexible work mode; hybrid schedules may be considered
- In rare cases, full-time telework or remote work modes may be considered
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