Machine Learning Software Engineer
2 weeks ago
Silicon Labs is a leader in secure, intelligent wireless technology for a more connected world.
Salary and Benefits$120,000 - $180,000 per year, plus equity rewards, employee stock purchase plan, insurance plans, national pension scheme, flexible work policy, and childcare support.
Job DescriptionWe are seeking an experienced machine learning software engineer to join our embedded machine learning team. The ideal candidate will have expertise in edge-based machine learning and the ability to enable smart IoT products.
This role offers the opportunity to define, develop, and build next-generation multi-modal machine learning enabling devices in the IoT space.
The successful candidate will be working on developing smart IoT devices for industrial and smart home applications.
The key responsibilities of this role include:
- Implementation of Machine learning POCs on embedded platform
- Algorithmic and functional optimization of machine learning algorithms
- Optimization of machine learning modules and functions on target platform
- Working closely with hardware to evolve next-generation machine learning architecture and platforms
- Contribution towards overall software design and architecture
To succeed in this role, you will need:
- A Master's or bachelor's degree from a reputable university with 7-9 or 8-10 years industry experience respectively
- Good knowledge of state-of-the-art machine learning algorithms
- Excellent C and C++ programming skills
- Knowledge of embedded DSP architectures and accelerators
- Knowledge of any of the following ML frameworks: TensorFlow, TensorFlow lite, or Tvm
- Knowledge of Jenkins or any other CI/CD pipeline
- Providing technical leadership to junior members
Silicon Labs strives for good work/life balance and makes its environment welcoming and fun.
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