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AI/HPC System Performance Engineer
role at
Meta
Base pay range $213,000.00/yr - $293,000.00/yr
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.
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 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
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
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++
About Meta 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.
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.
$213,000/year to $293,000/year + bonus + equity + benefits
Seniority level Not Applicable
Employment type Full-time
Job function3> Quality Assurance
Industries Technology, Information and Internet
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AI/HPC System Performance Engineer
role at
Meta
Base pay range $213,000.00/yr - $293,000.00/yr
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.
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 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
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
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++
About Meta 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.
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.
$213,000/year to $293,000/year + bonus + equity + benefits
Seniority level Not Applicable
Employment type Full-time
Job function3> Quality Assurance
Industries Technology, Information and Internet
#J-18808-Ljbffr