The MTIA (Meta Training & Inference Accelerator) Software team is part of AI Infra PyTorch org. The team's mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. The team co-optimizes both SW (e.g., algorithms and numerics) and HW (e.g., platform and network) to come up with balanced system design. To develop new systems, requires understanding performance bottlenecks on existing systems. As a result, the team invests significantly into optimizing AI production models on existing systems. This has resulted in TCO wins for all key AI services.Team has been developing AI frameworks to accelerate Meta's DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way. As part of the AI acceleration software stack, we develop kernel libraries exploiting various hardware architectural features, achieving high performance for our inference and training workloads.
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Manager, Software Engineering, MTIA Software Responsibilities:
- Grow a team of domain experts in high performance deep learning kernel development, hardware/software codesign technologies.
- Manage diverse teams of researchers and developers, help them develop their careers, assigning them to projects tailored to their skill levels, long-term skill development, personalities, and work styles.
- Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
- Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement.
- Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
- Operate strategically and tactically. Develop the vision and strategy to help set direction for the team, while staying on top of the day-to-day software development.
- Work closely with dedicated recruiting staff to expand the team, including sourcing candidates, interviewing candidates, participating in conferences/events, and on-boarding new employees.
- At least 5 years of experience in managing a software team in a fast-paced capacity.
- Demonstrated experience in managing other managers.
- Proven understanding and experience executing full product life-cycles (prototyping, deployment, and support).
- Accelerator (GPU/ASIC) kernel development and optimization.
- Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc.
- Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming.
- Experience working closely with hardware architectures such as Intel SIMD, GPU, RISC-V, AI Accelerators etc.
- Experience in hardware-software development environments such as simulators, FPGA emulators etc.
- Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.
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