The MTIA (Meta Training & Inference Accelerator) Software 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.

We are looking for a Software Engineering Manager to support a team of kernel engineers and drive high-performance DL kernel library development and performance tuning specific to the MTIA AI accelerator hardware.

Software Engineering Manager, ML/AI Frameworks Responsibilities

• Grow a team of domain experts in high performance DL kernel development.
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Operate strategically and tactically. Develop vision, strategy and help set direction for the team.
• Remain up-to-date on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.

Minimum Qualifications

• Experience with deep learning kernel development on CPU, GPU or AI accelerators
• 2+ years of experience in managing a team of kernel engineers of varied skill levels.
• Experience with cross functional collaboration with hardware or AI framework/compiler teams.
• Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management.

Preferred Qualifications

• 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, ML Accelerators etc.
• Experience in hardware-software development environments such as simulators, FPGA emulators etc
• Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$177,000/year to $251,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.