Senior software validation engineer
1 week ago
Synopsys is a worldwide leading supplier of horizontal IP which is used by our customers to design semiconductor integrated circuits. The IP product portfolio includes ARC processors, high-performance Vector DSP processors, industry-leading neural network processors, USB, DDR, and Ethernet interface controllers and much more.
We are seeking an experienced senior verification engineer to work on Machine Learning/Computer Vision/Neural Networks projects. The successful candidate will lead the verification efforts in Neural network compilers and tools for Synopsys NN processors and accelerators.
- Create and execute verification and test plans
- Generate backend test models and reference data
- Assume responsibility for the completeness of the Product/release verification
- Support integration testing with other components of the system
- Generate advanced verification reports as a part of the standard CI/CD flow and for specific releases
- Driving pragmatic, but structural verification process
- Support colleagues developing benchmarking and accuracy test flows
The R&D team is globally distributed, and the verification lead will interface with stakeholders from many locations in Europe, Asia and North America.
Key Requirements:
- Programming skills inPython
- Familiar with at least one popular Machine Learning framework (ONNX, PyTorch or TensorFlow)
- Experience in test automation and CI/CD (e.g. Jenkins, GitLab CI)
- Proven skills in writing verification and test plans
- Proficient skills in various test techniques
- Maintain regression test suites and release jobs
- Experience in execution, tracking and reporting of the verification process
- Excellent communication skills and fast learning capabilities
- Good level of both verbal and written English
Optional qualifications :
- Familiar with model quantization and/or accuracy testing of the neural networks
- Skills in source code management and revision control tools (Perforce, Git)
- Experience in compute grids and Linux compute clusters (e.g. SGE/UGE)
- Experience with both Linux and Windows software CI/CD environments
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