Production Systems Engineer, AI Network
- Pay
- $173,000 – $245,000 per year
- Location
- Austin, TX · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 8+ years
- Education
- Bachelor's degree
- Listed
- 29 days ago
Skills & highlights for this role
- TCP/IP
- Linux
- RDMA/RoCE
- hardware debugging
- iperf
Also useful
- AI server systems
- Network Interface Cards (NICs)
- scale-out topologies
About the role
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- Production Systems Engineer, AI Network
- Production Systems Engineer, AI Network
- Austin, TX +2 locations
- Engineering
- + 5 more
Meta is seeking a Systems Engineer to join our Release to Production New Product Introduction (RTP-NPI) team working on AI/ML initiatives supporting large-scale AI training and inference. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services.
The RTP team is responsible for the end-to-end hardware lifecycle of all Meta servers, including prototyping of experimental HW, pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning, and automated remediation of issues, ultimately certifying new platforms for mass production for AI at datacenter scale.
RTP Engineers have a large swath of cross-functional partners they work closely with, e.g., HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers.
We are looking for a candidate who can drive scale up and scale out network technologies for Meta AI systems that are powering Meta’s tremendous leaps in the AI space. An ideal candidate is knowledgeable about network technologies (NICs, Switches, Optics, DACs, Protocols-TCP/IP, RDMA) and has hands-on experience supporting them through at least a couple of hardware/software (firmware, driver) lifecycle phases: design and bring-up, server integration, system validation, supporting customer deployment, production issue triage, rolling out new features in FW/Driver.
Production Systems Engineer, AI Network Responsibilities
- Lead integration of scale up (e.g. NVLink, XGMI, RoCE) and scale out (e.g. NICs) interfaces for AI platforms
- Develop an understanding of collective communication patterns and AI workloads to incorporate this as part of NPI
- Proactively create experiments and tooling to detect, reproduce, and diagnose hardware/firmware/software issues
- Contribute to prototyping and proof-of-concept efforts for future technology explorations in the AI space
- Troubleshoot, diagnose, and root-cause system failures and isolate the components/failure scenarios while working with internal and external partners
- Develop visibility through data visualization and implement systemic solutions to hardware health issues
- Leverage production experience to drive external and internal teams to continuously improve product quality
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of work experience in one or more domains such as: AI/ML/HPC network evaluation and tuning, Network ASIC/Platform development (silicon/switch platform design or bring-up or characterization), Network product deployment and customer support (switches, NICs), Interconnect technologies (e.g., optics, DAC)
- Knowledge of TCP/IP and experience in using tools like iperf
- Knowledge of server architecture and components
- Experience working with Linux
- Hands-on troubleshooting and debugging experience
- Experience leading projects with large teams
Preferred Qualifications
- Understanding of AI training process and various scale-out topologies
- Experience working with RDMA/RoCE, including scale-out networks
- Experience working with AI server systems
- Experience working with large-scale deployments
- Experience working with Network Interface Cards (NICs)
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Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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United States of America: $173,000/year to $245,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Production Systems Engineer, AI Network role at Meta?
The Production Systems Engineer, AI Network posting at Meta states compensation of $173,000 – $245,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Meta's official career site.
Where is the Production Systems Engineer, AI Network job at Meta located?
This Production Systems Engineer, AI Network position at Meta is located in Austin, TX (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Production Systems Engineer, AI Network at Meta?
For the Production Systems Engineer, AI Network role, Meta highlights 8+ years of relevant experience; a bachelor's degree; experience with TCP/IP, Linux, RDMA/RoCE, hardware debugging, iperf. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Production Systems Engineer, AI Network position at Meta?
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