Staff Engineer
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Maskininlärning · Datavetenskap
I korthet
Qualcomm is seeking a Staff Engineer in Bangalore, India, to research, design, and implement components of machine learning frameworks and compilers. This role involves analyzing software requirements, optimizing performance, and addressing system-level integration issues within a fast-paced, cross-functional environment.
Ansvarsområden
- Research, design, develop, enhance, and implement machine learning framework and compiler components based on performance and code-size needs.
- Analyze software requirements and determine design feasibility within given constraints.
- Consult with architecture and HW engineers to implement software solutions optimized for Qualcomm's SOCs.
- Analyze and identify system-level integration issues.
- Interface with software development, integration, and test teams.
Krav
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 8+ years of Systems Engineering or related work experience.
- 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc.
- Experience with Source Code and Configuration management tools, git knowledge is required.
Önskade kvalifikationer
- Internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
- Experience in model level optimization using techniques like torch compile.
- LLVM or any industrial strength compiler development experience is a plus.
- Experience in MLIR is a plus.
- Knowledge of 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.
- Experience in Programming in memory is a plus.
- Hands-on Experience in C/C++, Python development (5+ years).
- Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years).
- Experience in neural network architectures + ML compiler workload synthesis, 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.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
Förmåner
- The opportunity to work on cutting-edge technologies like 4G, 5G, Edge Computing, and Deep Learning.
- Involvement in the full product life cycle from early design to commercial deployment.
- Working in a fast-paced environment requiring cross-functional interaction.
- Willingness to work in a cohesive software development environment.
- Ability to work on low-level implementation (code & test) and interfacing with hardware and simulators.
#Software Engineering#Machine Learning#Compiler#Framework#SOC