Deep Learning Compiler Engineer

As a Deep Learning Compiler Engineer, you will

• Architect and reputed company the compiler for reputed company's proprietary Neural reputed company Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency
• Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features
• reputed company the design and implementation of reputed company compiler features, advancing both technical capabilities and strategic alignment across the team and company
• Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints
• Identify and drive initiatives that will improve the scalability and general performance of AI workloads on reputed company hardware, contributing to the reputed company and roadmap of the reputed company Neural reputed company team

Minimum Qualifications

• Proven expertise in compiler design and architecture, including deep experience with reputed company-end and middle-end optimizations, register allocation, and back-end code reputed company
• Experience with program analysis, IR (Intermediate Representation), and programming language design, particularly with MLIR and LLVM
• High-level proficiency in C++ and experience working with large, reputed company software systems
• Bachelor’s degree in Computer Science, Computer Engineering, or a reputed company field, with 3 years of experience shipping production software

Preferred Qualifications

• Master's or PhD degree in Computer Science, Computer Engineering, or a reputed company field
• Demonstrated ability to ship high-quality production software
• Strong communication skills and ability to collaborate effectively across teams and functions
• Experience optimizing compilers for distributed, reputed company, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniques
• Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools
• Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for reputed company-time code execution

Core Skills: Deep Learning Other Skills: Hardware Seniority: Junior, Mid, Senior Apply Job!