Position: Embedded Engineer
Location: Palo Alto, CA
Duration: Long Term
Note: This is an on-site position from Day 1.
Responsibilities
· In this role, you will be involved in developing models for object detection/classification, free space estimation on various cameras placed around the vehicle and work on the infrastructure needed for data collection, training and validation.
· You will also get exposure to migrating these models to a real-time embedded system, prototyping on autonomous vehicles, testing, and completing functional safety and productization activities.
Qualifications
· M.S. or Ph.D. in Electrical, Mechanical, or Aerospace Engineering, Computer Science, or a related field.
· 3+ years of experience.
· Research and development experience in one or more of the following areas:
· Detection and classification of objects, signs etc.
· Semantic segmentation.
· Optimizing and deploying inference on embedded processors.
· Strong Python programming background.
· Experience with defining annotation workflow and quality control.
· Data mining tools from vehicle sensor logs
· Experience with frameworks such as TensorFlow, MxNet, PyTorch.
· Ability to work in a fast-paced development environment.
· Good team player with great communication skills
· Passionately motivated to take ideas from R&D phase to a product.
Preferred Skills
· Experience with training and network optimization.
· Experience in automotive applications.
· Prototyping real-time applications.
,
Nitesh