2 дня назад
Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Lead and scale the Inference Model Scaling engineering team responsible for ML model compilation, optimization, and high-performance kernel development on Cerebras hardware with an accent on technical leadership, organizational strategy, and cross-functional collaboration. Focus on defining technical roadmaps, hiring and mentoring engineers, and driving delivery of cutting-edge AI inference solutions.
Location
Location: Sunnyvale, CA or Toronto, Canada (Hybrid)
Company
Systems builds the world's largest AI chip, delivering industry-leading training and inference speeds that transform AI applications and user experience.
What you will do
- Define technical roadmap and strategy for the Inference Model Scaling team.
- Lead multiple engineering teams and establish engineering standards.
- Hire, mentor, and grow a high-performing engineering organization.
- Collaborate cross-functionally with cloud, ML, hardware, and product teams.
- Drive delivery and execution of ML compiler and high-performance kernel projects.
- Influence hardware/software co-design through model enablement insights.
Requirements
- Location: Must be based in or able to work from US or Canada offices
- BS, MS, or PhD in Computer Science, Computer Engineering or related field.
- 12+ years building compiler, ML systems, or infrastructure software.
- 5+ years leading engineering teams.
- Experience with modern compiler infrastructure (LLVM, MLIR, XLA, TVM, Torch FX, or similar).
- Strong skills in Python and C++ and delivering production-quality software.
Nice to have
- Experience building compiler frontends for AI accelerators.
- Familiarity with PyTorch, JAX, TensorFlow, or ONNX.
- Experience with LLM inference or training systems and distributed compilation.
- Experience working with hardware architects and leading teams through rapid growth.
Culture & Benefits
- Work on breakthrough AI platform beyond GPU constraints.
- Opportunity to publish and open source cutting-edge AI research.
- Join a fast-growing startup with job stability and vitality.
- Enjoy a simple, non-corporate work culture respecting individual beliefs.
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