Principal Software Engineer - Kernels

The Role: Principal Software Engineer - Kernels

What you will do

The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML and systems) and hardware (mixed signal, DSP, and CPU) experts in the company.

What you will bring

Minimum

• MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or a 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 environments and using standard development tools.
• Experience implementing algorithms in high-level languages such as C/C++ and Python.
• Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc.
• Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.
• Experience with development for embedded SIMD vector processors such as Tensilica.
• 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/orPyTorch.
• 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.
• Work experience at a cloud provider or AI compute/subsystem company.

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.