Responsibilities

• Quickly adapt to a rapidly changing environment and learn new emerging networking technologies
• Design and deploy consistent large scale networks rapidly, leveraging automation
• Participate in peer reviews, design discussions, and architectural decisions
• Troubleshoot complex problems and support internal and external customers
• Share your knowledge and guide junior team members, fostering a culture of continuous learning and improvement
• Effectively collaborate across teams and areas of expertise

Requirements

• 7+ years of experience as a Network Engineer
• Experience managing Hyperscale Clos fabrics
• Networking OS Experience - Cumulus Linux, Sonic, Arista EOS, Junos, Cisco NX-OS
• Expertise with major routing protocols (BGP, ISIS, OSPF)
• Experience with encapsulation protocols (EVPN/VXLAN or Geneve)
• Experience automating configuration management (Ansible, SaltStack, home grown)
• Familiarity with scripting/programming (Shell, Python)
• Operational experience with Git
• Large scale network design, maintenance, and operations
• Experience leading complex projects as part of a team
• Deep understanding of TCP/IP
• Strong Linux skills

Nice-to-Haves

• College education in Computer Science, Electrical Engineering
• Certifications like CCNA, CCNP, JNCIA
• Experience with Kubernetes and CNIs (Calico, Cilium)

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You will instrument spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You'll own the observability and efficiency surface for Anthropic's network: from per-flow telemetry on backbone routers, to QoS policy on cross-region links carrying inference traffic, to cost attribution that tells a research team exactly what their checkpoint sync is costing.

This is a hands-on IC role. You'll write code (Python, Go), build dashboards, model capacity, and ship config changes to production routers. You'll also influence architecture: when the data says a traffic pattern is pathological, you'll be in the room root causing it and fixing it.

You will be working across three areas: network telemetry and observability, traffic engineering, and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third.

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As a Staff Network Security Engineer, you will:

Unravel and tackle network security challenges at an exhilarating global scale. Collaborate with exceptional network architects and engineers building the backbone infrastructure for the AI revolution. Enjoy the freedom and support to experiment, innovate, and significantly shape our approach to securing the underlay and overlay of our cloud.

In this role, you will: Conducting architecture reviews, protocol analysis, and design assessments to proactively identify and fix vulnerabilities in our backbone and data center fabrics. Developing robust, repeatable frameworks for network security automation (CoPP, ACL generation, Route Filtering) that make it easy for teams to build securely from day one. Collaborating closely with Network Engineering teams to integrate security checks and validation seamlessly into their CI/CD and config-push pipelines. Crafting clear, practical security guidance and documentation that empowers engineers to deploy secure routing policies and topologies. Actively participating in architectural discussions regarding peering, transit, and traffic engineering, providing insightful security recommendations. Occasionally, 'drawing the owl' - figuring out innovative solutions for securing massive throughput environments while navigating ambiguous situations.

You will be working with a talented team of network engineers, security experts, and AI researchers to build and deploy a highly scalable and secure cloud infrastructure.

If you are passionate about network security, cloud computing, and AI, and enjoy working in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.

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We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

Responsibilities

• Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
• Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.

Requirements

• Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
• Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.
• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Nice to Have

• SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
• Background on a cloud provider's networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative Projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability

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Your responsibilities will include designing, configuring, deploying, monitoring, and troubleshooting production network infrastructure and associated services, including LAN, WAN, Data Center, remote access, wireless, and firewall security. You will develop and maintain comprehensive documentation for network configurations, processes, security policies, and procedures.

You will define and lead networking strategy aligned with business growth, automation goals, and scalable AI infrastructure. You will implement automation tools and AI-driven solutions to optimize network operations and reduce manual intervention. You will utilize automation tools to standardize deployment configurations and environments for consistency and efficiency.

You will identify and resolve issues related to network and security infrastructure performance, efficiency, and availability. You will communicate effectively with stakeholders at all levels, translating complex technical topics into accessible insights.

As a Sr. Staff Network Engineer, you will enable secure, scalable, and highly available network infrastructure supporting Synopsys' global business operations. You will drive innovation through the adoption of automation and AI, enhancing network efficiency and reducing manual overhead. You will champion best practices and standards that elevate network reliability, security, and performance.

You will mentor and empower team members, fostering a culture of learning, collaboration, and technical excellence. You will contribute to strategic initiatives that align networking capabilities with company growth and emerging technologies. You will enhance stakeholder engagement through clear communication and the delivery of impactful solutions.

You will influence the direction of Synopsys' network architecture, ensuring it remains at the forefront of industry advancements.

To be successful in this role, you will need:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• 8+ years of experience in network engineering, with several years in senior staff or architecture-oriented roles
• Expertise in designing and supporting large-scale enterprise networks
• Deep understanding of network security systems and protocols (IPSec, IKE, GRE, TACACS, RADIUS, 802.1x, NAC, EAP-TLS)
• Expert-level knowledge of networking fundamentals: TCP/IP, switching/routing, BGP, OSPF, DMVPN, EVPN/VXLAN, SD-WAN, MPLS
• Proficiency in wireless standards and technologies: 802.11a/b/g/n/ac/ax, MIMO, beamforming, channel planning
• Experience with network configuration management and automation tools (Python, Ansible, OpenStack, Terraform, REST API)
• Extensive hands-on experience with Cisco, Aruba, Zscaler, Palo Alto Networks equipment and platforms
• Ability to analyze raw packet data to uncover network performance issues (latency, packet loss, application errors)
• Ability to work after hours for project and maintenance needs
• Program management skills to align cross-functional teams and drive results
• Understanding of AI, machine learning, LLMs, MCP technologies
• Relevant certifications (PCNSE, ZIA/ZPA, CCNP, CCDP, CCIE, CISSP, CCDE, CEH, Security+ or equivalent experience) are a plus

As a Sr. Staff Network Engineer, you will be a forward-thinking and innovative individual, always seeking to improve and streamline processes. You will be a collaborative leader and mentor, passionate about empowering others and sharing expertise. You will be an excellent communicator, able to bridge technical and non-technical audiences. You will be adaptable and resilient, thriving in dynamic environments. You will be strategic and detail-oriented, balancing big-picture vision with hands-on execution. You will be committed to integrity, excellence, leadership, and passion,core Synopsys values.

You will join a dynamic global network engineering team responsible for designing and supporting all network services,including LAN, WAN, Data Center, remote access, wireless, and firewall security. This collaborative group is focused on delivering secure, scalable, and resilient network solutions, embracing automation and AI to drive continuous improvement. As a mentor and leader, you will help shape a culture of innovation and learning within the team.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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We are seeking a motivated and passionate Network Engineer to join our team. As a Data Center Networking Specialist - Sr Staff, you will be responsible for leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.

What You'll Be Doing:

• Leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.
• Developing strategy and architecture for DC engineering, influencing standards and technology direction across data centers and clouds.
• Program managing complex cross-functional projects, aligning stakeholders and driving collaboration to achieve strategic goals.
• Owning the end-to-end data center design lifecycle, from blueprinting through day2 operations, and creating repeatable templates for broader team support.
• Implementing automation tools and AI-driven solutions to streamline network operations and improve efficiency.
• Establishing and tracking key performance indicators (KPIs) to measure network efficiency, effectiveness, and driving continuous improvements.
• Mentoring and guiding junior engineers, fostering a culture of knowledge sharing and continuous learning.
• Staying current with industry trends and emerging technologies in data center and cloud networking, evaluating their impact on operations.
• Developing and maintaining comprehensive documentation for network configurations, processes, and procedures.
• Communicating effectively with stakeholders at all levels, conveying complex concepts to both technical and non-technical audiences.

The Impact You Will Have:

• Driving innovation in data center and cloud network architectures, ensuring Synopsys remains at the forefront of technology.
• Enhancing operational efficiency and scalability through automation and AI-driven solutions.
• Shaping the standards and technology direction for global data center initiatives.
• Improving network reliability, security, and performance for mission-critical business applications.
• Fostering a high-performing, collaborative engineering culture through mentorship and leadership.
• Enabling seamless integration of emerging technologies and adapting strategies to evolving business needs.
• Reducing manual intervention and operational risks, supporting robust and resilient infrastructure.
• Ensuring documentation and processes are streamlined, accessible, and actionable for all stakeholders.

What You'll Need:

• BS in Engineering or related field; MS preferred.
• 10+ years of experience in network engineering/data center infrastructure with significant production ownership of large-scale networks.
• Expert-level proficiency in DC and service provider grade protocols: BGP, ISIS, MPLS, Segment Routing, EVPN, VXLAN, QoS, traffic engineering.
• High proficiency with Cisco ACI (Application Centric Infrastructure) solutions, including Multi-Pod/Multi-Site architecture and ACI automation (APIC REST/SDK/Ansible collections).
• Proficiency in Python and Ansible for automation.
• Experience integrating telemetry (gNMI/streaming) and flow analytics (NetFlow/IPFIX/sFlow) with platforms like Elastic/Grafana.
• Demonstrated leadership and mentoring abilities, with successful program management experience.
• Strong organizational skills, capable of managing multiple projects and priorities.
• Good to have: Relevant certifications (e.g., CCNP, CCIE – Data Center, AWS certified solution architect), DC operations experience, strong security mindset, ITIL change/incident familiarity.

Who You Are:

• Self-driven and proactive, consistently finding ways to contribute beyond your charter.
• Excellent communicator, able to convey complex concepts to both technical and non-technical audiences.
• Collaborative team player, inspiring and mentoring others.
• Adaptable and agile, thriving in a fast-paced, evolving environment.
• Innovative thinker, always seeking to improve and future-proof network solutions.
• Organized, detail-oriented, and results-focused.
• Strong leader with a passion for continuous learning and development.

The Team You’ll Be A Part Of:

The Synopsys Network and Datacenter team is responsible for the design, vision, and driving major initiatives for Data Center and Cloud. You’ll be joining a diverse, high-impact group of experts who collaborate across global sites to deliver scalable, secure, and innovative network solutions. The team values knowledge sharing, continuous improvement, and a culture of excellence, empowering each member to make a meaningful impact on Synopsys’ technological landscape.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Datacenter Networking Technician, AI Compute Deployment - Stargate

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Scaling

Compensation

• $86.4K – $228K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team:

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality.

About the Role:

We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments.

Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

In this role you will:

• Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria.

• Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time.

• Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations.

• Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams.

• Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses

• Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning.

You might thrive in this role if you:

• Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation.

• Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices.

• Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues.

• Adapt quickly to changing build conditions and enjoy learning emerging networking technologies.

• Communicate clearly with construction, engineering, and operations teams to drive projects to completion.

• Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects.

Preferred Skills:

• Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation.

• Experience with hyperscale Clos fabrics or large-scale network design.

• Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting.

• Industry certifications such as BICSI, CCNA/CCNP, or equivalent.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we are building a team of talented individuals who share our values and are passionate about making a positive impact on the world.

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