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# Staff Software Engineer, SIMD Kernels

- **Company:** d Matrix
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Compilers, Nvidia CUDA, Computer Programming, Computer Engineering, Data Structures, Linux, Programming Tools, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Tensorflow, Server Administration, Software Engineering, System Software, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Machine Learning Operations, MLIR (Multi-Level Intermediate Representation)
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-simd-kernels-santa-clara-ca--9eece686-7ebf-4856-9516-0d8aa88c56db

## About the Role

Software Engineering, Kernel Programming, Energy Efficiency, Memory Hardware, Artificial Intelligence (AI), Computer Architecture, Software Administration, Performance Analysis, Kernel Programming, Hardware Architecture, * 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.

Preferred:

 * 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.