Be part of the team that helps productize the SW stack for our AI compute engine.
Responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware.
Build and scale software deliverables in a tight development window.
Work with a team of compiler experts to build out the compiler infrastructure.
Collaborate with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.

Requirements

MS in computer engineering, math, physics, or a related degree with 7+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ 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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

CC++PythonLinuxalgorithmsFPGAsDSPsGPUsAI acceleratorsSIMD

self-motivatedteam playerownershipleadership