Summary:

Meta is seeking an Engineer to join our Release to Production (RTP) team working on AI/ML initiatives. 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 pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues. RTP team also helps in exploring, developing and productizing high-performance software and hardware technologies for AI at datacenter scale.RTP-NPI team in RTP work closely with 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 also work across service and hardware architectures for new AI systems, build prototypes to demonstrate the value, enable go/no-go decisions and optimize these systems in production.

Required Skills:

Production Systems Engineering, RTP Responsibilities:

1. Interact with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures

2. Working with end users and cross functional partners to execute full product life-cycles (prototyping, deployment and support)

3. Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues

4. Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders

5. Continuously improve cross functional collaboration with partnership teams to improve quality and efficiency for NPI

Minimum Qualifications:

Minimum Qualifications:

6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

7. Demonstrated experience in one or more domains such as ASIC development (Silicon design or bring up or characterization), compute (ARM, x86), AI-ML hardware/software (GPUs, TPUs)

8. Knowledge of server architecture and components across Compute/AI systems

9. Experience in strategic implementation and planning for risk and growth

10. Developing and managing requirements, and making data-driven decisions

Preferred Qualifications:

Preferred Qualifications:

11. 10+ years of experience with some of the following modules/domains: Servers, CPU, GPU, DRAM (DDR4/5 or HBM), PCIe, Network

12. 5+ years of experience in hands-on SW/FW/HW areas to build systems/products for data-center environments, consumer devices/HW, or similar

Public Compensation:

$163,000/year to $225,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 accommodations-ext@fb.com.