Staff Kernel Optimzation Engineer
Remote • FullTime
Posted 8mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation.
Responsibilities
- Develop design specifications for new machine learning and linear algebra kernels and map them to the Cerebras WSE System using various parallel programming algorithms.
- Develop and debug kernel libraries of highly optimized low-level assembly instructions and C-like domain-specific language routines to implement algorithms targeting the Cerebras hardware system.
- Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system.
- Use mathematical models and analysis to measure software performance and inform design decisions.
- Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries.
- Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of state-of-the-art Neural Networks.
- Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next-generation systems.
Requirements
- Bachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields.
- Understanding of hardware architecture concepts and comfort learning new hardware architectures.
- Skilled in C++ and Python programming languages.
- Good knowledge of library and/or API development best practices.
- Strong debugging skills and knowledge of debugging complex software stacks.
- Experience in kernel development and/or testing.
- Familiarity with parallel algorithms and distributed memory systems.
- Experience in programming accelerators such as GPUs and FPGAs.
- Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch.
- Familiarity with HPC kernels and their optimization.
Benefits
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Simple, non-corporate work culture that respects individual beliefs.