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 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.
What you will bring:
Minimum:
MS or PhD in Computer Engineering, Math, Physics, or related degree with 10+ 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++ and 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
Preferred:
Prior startup, small team, or incubation experience.
Experience with ML frameworks such as TensorFlow and/or PyTorch.
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 comp.
Skills Required
- MS or PhD in Computer Engineering, Math, Physics, or related degree
- 10+ 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
- Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators
- Experience in implementing operators commonly used in ML workloads
- Experience with development for embedded SIMD vector processors such as Tensilica
What We Do
We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.
