System engineer

Summary:

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads. These workloads expect a loss-less fabric interconnect with minimal latency. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, communications lib and scheduling infrastructure.

Required Skills:

AI/HPC System Performance Engineer Responsibilities:

Lead multi-disciplinary teams to develop solutions for large scale training systems. Assess trade-offs of various solutions and make pragmatic decisions

Ensure timely milestone delivery with teamwork and close collaboration

Responsible for the overall performance of the communication system, including performance benchmarking, monitoring and troubleshooting production issues

Defining technical vision and driving a multi-year roadmap to make progress towards the related objectives

Work with cross functional teams and provide guidance on the AI network architecture including topologies, transport, congestion control techniques

Minimum Qualifications:

Minimum Qualifications:

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

Experience with developing, evaluating and debugging host networking protocols such as RDMA

10+ years of experience in designing, deploying and operating networks

Experience with triaging performance issues in complex scale-out distributed applications

Preferred Qualifications:

Preferred Qualifications:

Experience with developing communication libraries, such as Message Passing Interface, NCCL, and UCX

Understanding of AI training workloads and demands they exert on networks

Understanding of RDMA congestion control mechanisms on InfiniBand and RoCE Networks

Understanding of the latest artificial intelligence (AI) technologies

Experience with machine learning frameworks such as PyTorch and TensorFlow

Experience in developing systems software in languages like C++

Public Compensation:

$213,000/year to $293,000/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 [email protected].