June 25
🏢 In-office - Bay Area
• 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 tool chain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design. • You are able to 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, Systems) and hardware (mixed signal, DSP, CPU) experts in the company.
• MS or PhD in Computer Engineering, Math, Physics or related degree with 3+ 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 implementing algorithms in high level languages such as C/C++, Python. • Experience 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, 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.
• Offers Equity • Offers Bonus
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