Job description
Our client is looking for an experienced Software Engineer who is interested in developing their computer vision and machine learning experience. The team you will be joining is developing key functionalities of next-gen sensing products within the interiors of automotives. This technology will significantly improve road safety and will transform our transportation experiences.Some features include detection of left-behind children and pets, peoples seating locations in a vehicle, and features that enhance comfort, wellness, and entertainment by reading occupants moods, emotions, and reactions.
Development activities range from early-stage prototyping to porting and deployment to a wide set of automotive embedded platforms.
What youll be Doing
- Develop and improve logic within C++ codebase for its interior monitoring and sensing solutions.
- Create and enhance features using computer vision and a variety of machine learning methods (detection, classification, temporal ML, activity/gesture recognition)
- Build and deploy the SDK on different platforms including optimizing the SDK runtime on automotive-grade SoCs (System on Chips)
- Investigate tradeoffs between accuracy and computational efficiency for edge/embedded environments and propose solutions to meet run-time requirements
- Develop and maintain KPI reports to measure and analyze model and feature performance.
- Proficiency in software development, C++, and Python.
- Familiarity with computer vision and machine learning concepts: deep learning, data science, statistics, 3D geometry
- CI/CD experience
- Experience with working within embedded, (embedded SoCs is even better!)
- Team collaboration and communication
- Deep learning frameworks (e.g., TensorFlow/Keras, PyTorch) and data science libraries (e.g., Pandas, scikit-learn, matplotlib)
- Cross-compiling for aarch64 and armv7 on Android and Linux.
- End-to-end development (design, planning, evaluation, deployment) of a machine learning-based system.
- Automotive industry experience
- Competitive Salary
- Stock Options
- 401(k) with match
- Free gym on-site
- Complimentary snacks, drinks, and a company-provided lunch once a week
- Opportunity to travel the world to our other sites
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