Mission Of The Position
1. Deployed Computer Vision stacks in the embedded system.
2. Consider the limitation of hardware and make the deep learning algorithms work with an affordable and efficiency platform.
3. Reduce the risk level of safety-critical features
Role Summary
1. Algorithm development and performance improving the deep learning models.
2. Documents and archives software program releases to meet company software development and quality improvement process.
3. Maintain software version in different development phases.
4. Build a variety of tools for visualizing, debugging and performance improving.
5. Design a useful toolchain for localization model training to fulfill the requirement from different country.
6. Setup the required development equipments (server, cloud platform, simulator, etc.)
Requirement
1. Solid mathematical fundamentals, including: linear algebra, vector calculus, probability, and statistics.
2. Experience implementing the math theory on computer languages (eg Python, numpy, C++/Eigen, etc.)
3. Strong experience with Computer Vision technology such as intrinsic and extrinsic calibrations, homogeneous coordinates, projection matrices, and epipolar geometry.
Co-Work
Electronical Engineer
Controls Engineer
Systems Engineer
Software Engineer
Test Engineer
Project Manager
Experience
1. Bachelor in Engineering required - Electrical Engineering or Computer Science Engineering major
2. Strong C programming skills and documented system analysis, modular design and coding.
3. Problem-solving techniques
4. 3+ years of experience with any major deep learning framework.
5. Experience in GPU programming or GPU-accelerated libraries..
Qualifications (Better to have)
Training or certification on
IATF 16949
ASPICE
ISO 26262
Job Type: Full-time
Pay: From $80,000.00 per year
Benefits:
- 401(k) 2% match
- Dental insurance
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Schedule:
- Monday to Friday
Education:
- Bachelor's (Required)
Experience:
- major deep learning framework: 3 years (Required)
Work Location: In person