Computer Vision Engineer
- Full-time
Company Description
We are searching for several talented Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available
We have numerous roles across several key teams, including Computer Vision.
Job Description
We are looking for excellent problem solvers to:
- Contribute to multi-sensor data collection and processing systems
- Develop, deploy and optimize machine learning algorithms for the radar system
- Build software infrastructure for large scale data storage and processing on AWS
- Communicate requirements and specifications to the hardware and software teams
- Collaborate with team members to build full-stack automotive software solutions
- Perform other duties as necessary for completion of projects and achievement of goals
Qualifications
- B.S/M.S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry
- 2+ years of experience with machine learning, computer vision, and signal processing
- Firsthand experience with a variety of learning approaches (supervised, unsupervised, reinforcement, etc.) and neural network architectures (convolutional, fully-connected, recurrent, etc.)
- Excellent programming skills, especially in C/C++ and Python
- Familiarity with common cloud computing resources
Preferred:
- Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs
- Previous work with autonomous vehicles, multi-sensor data collection, or large-scale data processing.
- Knowledge of the physics of radar and sensor systems
- Interesting projects on Github or similar
Additional Information
Perks + Benefits:
- Competitive salary package
- Stock options for every employee
- Healthcare + dental + vision (Free for employee/heavily discounted for family)
- 401k plan
- Catered lunch + healthy snacks + beverages
- Generous paid vacation + holidays
- Relocation assistance + reimbursement
- Free parking + transportation incentives
- Social events + happy hours + team parties