Radar Data Analyst

Austin, TX, US

Job Description / Skills Required

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, curation and analysis 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

· Setup and maintain database and cloud compute in AWS

· 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: 

· Bachelor’s degree in Engineering/Computers/Science with 2+ years of relevant experience

· Experience setting up and working with cloud compute and database platforms like AWS EC2, S3, PostgreSQL, Docker or similar

· Programming experience in Python & Linux

· Demonstrated problem-solving skills

· Capable to apply objective, scientific methods, and critical thinking

· Valid driver license with a clean driving record


 Preferred Experience:

· Knowledge of and experience with automotive radar & lidar sensors

· Experience working with ROS

· Experience in real-time, performance-critical, applications (e.g. communications)

· Basic understanding of robotics system including sensors, actuators, mechanical and software systems

· 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