Staff Software Engineer, SIMD Kernels

The role

You will help productize the software stack for an AI compute engine. You will develop, enhance, and maintain software kernels for ML operators for next-generation AI hardware.

What you will do

• Develop, enhance, and maintain software kernels for ML operators such as softmax, layer norm, and activation functions
• Build solutions that make the SDK intuitive for developers to use and analyze performance

Required qualifications

• MS or PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience
• Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
• Proficient in C/C++ and Python development in Linux environment and using standard development tools
• Experience in implementing algorithms in C/C++ and Python
• Experience in implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CUDA, etc.
• Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, softmax, layer normalization, pooling, etc.
• Self-motivated team player with a strong sense of ownership and leadership

Nice to have

• Prior startup, small team, or incubation experience
• Experience with ML frameworks such as TensorFlow and/or PyTorch
• Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
• Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation
• Experiences in development for embedded SIMD vector processors such as Tensilica
• Work experience at a cloud provider or AI compute/subsystem company

About the company

d-Matrix has pioneered a memory-centric architecture that brings compute directly into memory. The team tackles AI infrastructure challenges by building chips, software, and rack-scale systems.