Responsibilities
- Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks.
- Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
- Analyze and identify system level integration issues, interface with the software development, integration and test teams.
Basic qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 4+ years Systems Engineering or related work experience.
Preferred qualifications
- Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
- Has experience in model level optimization using techniques like torch compile.
- LLVM or any industrial strength compiler development experience is a plus.
- Knowledge of the structure and function of the compiler internals.
- Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
- Hands-on experience implementing DSP Kernels a plus
- Hands-on Experience in C/C++, Python development (3+ years)
- Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (3+ years)
- Experience with Source Code and Configuration management tools, git knowledge is required
- Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators
- Experience in neural network architectures + ML compiler workload synthesis, a plus
- Experience in Programming in memory is a plus.
- Prior working experience of hardware accelerators and hardware software co-design
- Experience in using C++ 14/17 (advanced features)
- Experience at both the firmware (RTOS) and system level (Linux) in SOC
- Experience of profiling software and optimization techniques
- Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
Tags & focus areas
Used for matching and alerts on DevFound Ai Machine Learning Deep Learning