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# Software Engineer, Accelerator Solutions...

- **Company:** The Meta Game, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $181,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Layers, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Data Centers, Firmware, Python (Programming Language), Performance Tuning, Azure Machine Learning, SystemC, High Performance Computing, Pytorch, Information Technology, Modeling and Simulation, Hardware Acceleration, Hardware Infrastructure, Software Library
- **Published:** July 15, 2026
- **Apply:** https://www.juju.com/job/00000000gh6kmd

## About the Role

10. Currently has, or is in the process of obtaining a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

 11. 2+ years experience in developing C++ codebase

 12. 2+ years experience in developing Python codebase

 13. Understanding of performance, benchmarking measurement, and optimization on collective communications and distributed at-scale model training

 14. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Preferred Qualifications:

Preferred Qualifications:

 15. Understanding of the transport stack (e.g., RoCE) and its constraints particularly pertaining to interconnect and collective

 16. Experience with SystemC

 17. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

 18. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

 19. Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components for AI/HPC workloads)

 20. Full-stack experience and understanding of AI/HPC systems, with a focus on the application layer and performance optimizations

 21. Familiarity with relevant tools, libraries, and frameworks (e.g., PyTorch, CUDA)

 22. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

## Description

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 engineering team, collaborating with a large set of cross-functional and international partners. Meta's next-generation, super-cluster AI/ML platforms offer the opportunity to work in an fast-paced environment, enabling core technologies deployed in some of the world's largest scale clusters.

Required Skills:

Software Engineer, Accelerator Solutions & Technologies (PhD) Responsibilities:

 1. Contribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta's in-house accelerator programs

 2. Understand and contribute to the collective communications library, intended to be deployed on Meta's AI/ML superclusters

 3. Support networking and compute hardware acceleration techniques to improve ML inference and training model performance

 4. Perform architectural analysis to ensure system designs meet performance, scalability, and reliability requirements

 5. Implement simulation models for Meta's Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvements

 6. Collaborate with architects and engineers to integrate simulation results into system design processes

 7. Use instruction set simulators to define performant firmware for Meta's training/inference accelerators

 8. Collaborate with hardware and firmware teams to ensure accurate modeling and simulation of accelerator functionalities

 9. Analyze simulation results to guide firmware development and optimization efforts


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