ML Engineer - Qualcomm - Grenoble, France
Tasks
- Analyze software requirements and feasibility
- Build machine learning compilers for performance
- Collaborate with integration and test teams
- Create neural network architectures and compiler workload synthesis
- Develop machine learning framework components
- Identify system integration issues
- Implement SIMD and multi threaded high performance code
- Implement software solutions for Qualcomm SOCs
- Optimize code size and performance
- Profile software and apply optimization techniques
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Co-design | Compiler technology | Git | GoogleTest | Hardware-Software Co-design | Hardware/software | High Performance | High-Performance Computing | LLVM | Learning frameworks | Linux | Machine Learning | Machine Learning Frameworks | Multi-threading | Network Architecture | Neural Network | Neural Network Architecture | Object-Oriented | Object-oriented design | Optimization | Performance Computing | Profiling | PyTorch | Python | RTOS | SIMD | SIMD Kernels | Software Co-design | System on chip | TensorFlow | Test-Driven | Test-Driven Development | Torch compile
Regions
Countries
States
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