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About the Role

As a Software Engineer II: AI Compiler Engineer, you will work with complex high-performance SoCs and contribute to an AI graph compiler that optimizes Neural Networks (NNs) from frameworks like PyTorch or TensorFlow into executable code for specialized and embedded platforms. Cadence is recognized as a Fortune 100 Best Companies to Work For.

Responsibilities

• Develop a deep learning compiler stack that converts neural network descriptions (CNNs/RNNs) from frameworks such as Caffe, PyTorch, TensorFlow, etc., into optimized code for special-purpose and embedded platforms.
• Utilize modern compiler frameworks like LLVM and MLIR.
• Develop optimized implementations of neural network operations and integrate them into a runtime framework.
• Develop new optimization techniques and algorithms for mapping CNNs onto Xtensa processors and specialized hardware.
• Benchmark end-to-end network performance on DSP and special-purpose accelerator platforms.
• Enhance the framework to improve functionality and performance on various hardware platforms.
• Devise multiprocessor/multicore partitioning and scheduling strategies.
• Develop complex programs to validate the functionality and performance of the CNN application programming kit.
• Collaborate with hardware designers to identify opportunities for hardware acceleration of neural network functions.
• Work with industry-leading partners and customers to design and standardize neural network APIs.

Requirements

• Bachelor's degree in Computer Science or Computer Engineering, or equivalent experience.
• 3-5+ years of experience with C and C++ programming.
• Expertise in software development on Linux and Windows systems, including test, debug, and release.
• Knowledge of and experience with state-of-the-art compiler stacks such as LLVM and MLIR.
• Experience implementing compilation techniques like loop optimization, polyhedral models, and IR construction/transition/lowering techniques.

Skills

• C
• C++
• Linux
• Windows
• LLVM
• MLIR
• Python
• ONNX
• NNEF
• CNNs
• RNNs
• TensorFlow
• Caffe
• PyTorch

Location

• Hybrid

Work Type

• Full-time
• Hybrid

Experience Level

• 3-5+ years
• 3+ years

Education Level

• Bachelor's degree
• Master's degree
• PhD

Benefits

• Competitive benefits

About the Company

• Cadence is the only company that provides the expertise and tools, IP, and hardware required for the entire electronics design chain, from chip design to chip packaging to boards and to systems.
• We enable electronic systems and semiconductor companies to create innovative products that transform the way people live, work, and play.
• Our products are used in mobile, consumer, cloud datacenter, automotive, aerospace, IoT, industrial and other market segments.
• Cadence is a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences.
• Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For.
• Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.

Equal Opportunity

• Cadence is committed to equal employment opportunity throughout all levels of the organization.
• Cadence is proud to be an equal opportunity employer.
• All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.