Meta is seeking an experienced software engineer to join our Accelerator Solutions & Technologies group, supporting the development of Meta’s accelerators collective communications software library and optimizing distributed AI/ML workloads’ performance. This is an opportunity to work with a highly skilled engineering team, collaborating with a large set of cross-functional and international partners. Meta’s super-cluster AI/ML platforms offer the opportunity to work in an extremely dynamic environment, enabling core technologies deployed in some of the world’s largest scale clusters.
Software Engineer, Accelerator Solutions & Technologies Responsibilities:
- Contribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta’s in-house accelerator programs.
- Understand and contribute to the collective communications library, intended to be deployed on Meta’s AI/ML superclusters.
- Support networking and compute hardware acceleration techniques to improve ML inference and training model performance.
- Perform architectural analysis to ensure system designs meet performance, scalability, and reliability requirements.
- Implement simulation models for Meta’s Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvements.
- Collaborate with architects and engineers to integrate simulation results into system design processes.
- Use instruction set simulators to define performant firmware for Meta's training/inference accelerators.
- Collaborate with hardware and firmware teams to ensure accurate modeling and simulation of accelerator functionalities.
- Analyze simulation results to guide firmware development and optimization efforts.
Minimum Qualifications:
- Masters or doctorate degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5+ years of programming experience in C++.
- 5+ years of programming experience in Python.
- Understanding of performance and benchmarking measurement and optimization on collective communications and distributed at-scale model training.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
- Full-stack experience and understanding of AI/HPC systems, from hardware and infrastructure through the application layer, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA).
- Experience in one or more of the following ML domains: hardware accelerators, AI Infrastructure, and/or high performance compute (HPC), particularly pertaining to interconnect and collective.
- Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads).
- Understanding of the transport stack (e.g., RoCE), its constraints and performance measures and how transport considerations enable the collective communications stack.
- Experience with SystemC.
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.
$70.67/hour to $208,000/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.
