Opportunity Description
Shape the future of AI with a well-funded startup by becoming their next Graph Optimization Engineer. This position allows you to innovate hardware-agnostic compilers for varying accelerator architectures.
Join a pioneering team focused on optimizing the graph layer of an AI compiler. As a core engineer, you'll design transformation passes, improve throughput and latency, and maintain interfaces across hardware targets. The role provides opportunities to evolve intermediate representations in line with ML architectures.
Key Responsibilities:
• Design and implement graph-level transformation passes
• Define and evolve intermediate representation (IR) as ML evolves
• Analyze performance data to identify optimization gaps
• Build testing and validation infrastructure for optimizations
• Collaborate with teams for clean IR interfaces
Requirements:
• Degree in Computer Science or Engineering (BS, MS, PhD)
• Strong C/C++ skills in performance-critical areas
•...
Join a pioneering team focused on optimizing the graph layer of an AI compiler. As a core engineer, you'll design transformation passes, improve throughput and latency, and maintain interfaces across hardware targets. The role provides opportunities to evolve intermediate representations in line with ML architectures.
Key Responsibilities:
• Design and implement graph-level transformation passes
• Define and evolve intermediate representation (IR) as ML evolves
• Analyze performance data to identify optimization gaps
• Build testing and validation infrastructure for optimizations
• Collaborate with teams for clean IR interfaces
Requirements:
• Degree in Computer Science or Engineering (BS, MS, PhD)
• Strong C/C++ skills in performance-critical areas
•...
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