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Meta · 4 months ago

Software Engineering Manager, MTIA

Menlo Park, CA

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. In this role, you will lead and manage a team of software engineers, driving technical innovation and developing strategies to achieve business objectives while fostering a culture of continuous learning and improvement.

Computer Software

Comp. & Benefits

Responsibilities

Lead and manage a team of software engineers to deliver high-quality products and solutions

Collaborate with cross-functional teams to drive technical innovation

Develop and implement technical strategies to achieve business objectives

Foster an environment of continuous learning, growth, and improvement

Qualification

Technical managementHigh performance computingAI/ML systemsGPU programmingML frameworksCoachingPerformance managementMentoringTeam leadership

Required

8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management

Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management

Bachelor of Science/Masters in Computer Science or equivalent practical experience

Experience supporting, coaching, mentoring, and developing software engineers

2+ years of experience in managing a team of engineers with varied skill levels

Preferred

Experience in leading teams working on high performance computing (HPC) and AI/ML systems, including: GPU/ASIC-based kernel development and optimization (e.g. CUDA, ROCm), distributed systems for large scale training and serving, and systems architecture and performance

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 bring-up development environments such as simulators, FPGA emulators etc

Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc