Summary/Objective
Uhnder has developed the world’s first automotive digital Radar on Chip (RoC). Sensors based on Uhnder’s Digitally Coded Modulation (DCM) technology achieve new and unprecedented levels of performance for advanced driver assistance systems (ADAS) and autonomous driving solutions. Founded in 2015, its main engineering operations center is in Austin, Texas, USA with design facilities in India and China.
As a Data Collection Engineer, you will join a team of industry experts spanning mixed-signal, RF, digital, systems, and software experts to develop the next generation of electronics surrounding us and impacting us in our everyday lives.
Essential Functions
Participate in the specification, design and development of a new data collection, storage and curation project for radar development
Work with product management and engineering to define use cases for data collection
Develop an on-going capture plan and review results of recorded data
Record data on different platforms (lab, vehicles, robots, etc.), based on the capture plan
Review and analyze data for correctness
Ensure data is captured and stored in standard and custom formats, as needed
Curate data repository: catalog data, enable search, based on defined criteria and publish to stakeholders
Work with 3rd parties to label objects within recorded data, as required for specific development efforts
Plan and execute large-scale data collection efforts
Work with applications group to create demos based on curated data sets
Assist in system QA activities, based on captured data
Perform field testing of radar hardware and software, identifying potential areas for improvement
Support engineering in the root-cause debug of issues
Required Education and Experience:
Bachelors degree in Engineering/Computers/Science with 3-5 years of relevant experience
Programming experience in C++, Python & Linux
Demonstrated problem-solving skills
Basic understanding of robotics system including sensors, actuators, mechanical and software systems
Capable to apply objective, scientific methods, and critical thinking
Experience in real-time, performance-critical, applications (e.g. communications)
Valid driver license with a clean driving record
Preferred Experience:
Knowledge of and experience with automotive radar & lidar sensors
Experience in automotive ADAS and/or autonomous applications
Experience with testing of automotive systems
Experience with test and bug tracking tools (e.g. Atlassian Confluence, Jira)
Experience in technical writing, drawings, and documentation