Principal Software Engineer, Kernels

What you'll do

• Develop, enhance, and maintain software kernels; map algorithms and AI-framework computational graphs to hardware architectures.
• Optimize operators for specialized hardware and make hardware-software co-design trade-offs across the full-stack toolchain.
• Collaborate with compiler, ML, systems, and hardware teams to build compiler infrastructure and scale software deliverables.

What they ask for

• MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience, or PhD in one of these areas with 5+ years of industry experience.
• Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
• Proficiency in C/C++ and Python development in Linux environments; experience implementing algorithms in high-level languages.
• Experience implementing algorithms for specialized hardware, ML workload operators, and embedded SIMD vector processors such as Tensilica.

Nice to have

• Prior startup, small-team, or incubation experience.
• Experience with ML frameworks or compilers, deep learning models, or work at a cloud provider or AI compute/subsystem company.

Pay

$195K – $285K USD base salary

Tools

C/C++, Python, Linux, FPGAs, DSPs, GPUs, CUDA, Tensilica

AI focus

Developing and optimizing kernels and operators for AI inference hardware, including mapping ML computations to the architecture.