Meta Looking For Network Engineer, Network Infrastructure Services at Menlo Park, CA Full Time

At Meta Connectivity (MCx), we partner with OEM’s and Connectivity Service Providers (CSP) to accelerate the development, deployment, and optimization of metaverse-ready networks in an economically and technically sustainable manner. Bringing high-quality XR experiences (e.g. AR calling, fully immersive VR) to large parts of the population is an extremely challenging task, limited by user device capabilities (size, weight, power), access network speed & latency, and the “experience” provider’s compute capacity. At MCx, we believe CSPs will play a significant and critical role in overcoming all three of the above limitations by building even smarter, more context-aware and compute-capable networks and evolving from being data pipes to becoming value-add partners that enable the metaverse.Meta’s Network Infrastructure Services (NIS) team is looking for a passionate network engineering lead to help us develop and execute test cases to optimize delivery of latency sensitive content over mobile and fixed wireless networks. NIS works closely with Meta Connectivity and Reality Labs teams to understand challenges and validate solutions in internal labs and in field trials with MNO and CSP partners. With the demands of new Metaverse applications we have entered a new era of unprecedented opportunities to re-think traditional networking and iterate quickly in our environment. This role offers a unique career opportunity to inform the high performing networks of the future.

Network Engineer, Network Infrastructure Services Responsibilities:

Develop automation test cases to understand the impact of network impairments on user Quality of Experience

Lead the implementation of isolated and e2e testbeds to measure and optimize Wi-Fi hardware, software, and configuration

Work with Data Engineering and analysis teams to create complex testing strategies and optimize performance for existing and future applications over mobile and fixed wireless networks

Work with Engineering and partnership teams to create product demos for OEMs, potential technology partners, and CSP’s

Interface with internal hardware and software teams to build, validate, and scale automated testing of Meta products over Wi-Fi and Cellular based connections

Ability to travel up to 10% required

Minimum Qualifications:
15+ years experience working with networks to include hardware OEMs, Internet Service Providers, or Mobile Network Operators

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Hands-on experience designing, configuring, optimizing, and troubleshooting Wi-Fi networks with knowledge of RF and latest 802.11 standards

Knowledge of future IEEE Wi-Fi releases such as Wi-Fi 7/802.11be

Expertise in troubleshooting Wi-Fi connectivity and performance issues using over-the-air packet capture analysis and spectrum analyzer

Knowledge of Wi-Fi protocols with respect to management, control and data plane including different topologies, appliance and cloud based controllers, LWAPP, CAPWAP, L2 over GRE, local breakout

Experience with LAN authentication technologies such as 802.1x, RADIUS, various EAP methods

Experience validating and benchmarking Wi-Fi network performance using common industry test tools and equipment (Iperf, Ixia, octoScope, Ekahau, AirMagnet)

Understanding of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6

Experience with container technologies (Docker, Kubernetes) and scripting and automation (Bash, Python, Perl, Ansible, Chef)

Proven experience managing multiple projects simultaneously and deliver against mission critical deadlines

Preferred Qualifications:
Experience in a coding/scripting languages such as Python, shell scripting etc. along with knowledge in code repository solutions

Experience with data visualization and analysis tools like Tableau and databricks

Experience configuring and deploying VMs (VMware) and Cloud Infrastructure (AWS, Azure)

Experience with Automation/regression L4-L7 testing

Experience building technical documentation to include methods of procedure, training materials, user guides, and customer documentation

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].