Algorithms and Signal Processing Intern

Algorithms and Signal Processing Intern


Date Posted: 
February 21, 2018
Velodyne LiDAR, Inc
San Jose, CA, US
Contact Person: 

Algorithms and Signal Processing Intern

Velodyne LiDAR is exploding in size as the company is aiming to bring LiDAR sensor technology for self-driving cars to the market as soon as 2020. Velodyne is gearing up for mass production now! Help Velodyne’s team during this exciting time!

Job Summary

Velodyne LiDAR, Inc. is looking for an Algorithms & Signal Processing Intern to work on a wide variety of sensor signal processing and computation problems.

Job Responsibilities

The successful candidate will collaborate with R&D personnel to develop and implement sensor signal processing algorithms that gets implemented in analog, mixed signal, digital chips. He/she also has to provide detailed performance models.


Job Requirements


Must have:


· Background in LiDAR and Radar Systems.

· Background in communication theory, signal processing, error correcting codes, information theory, probability and random processes.

· Proficient in C/C++ and MATLAB.

· Project experience in developing efficient algorithms and models for analog, mixed signal and digital signal processing.

· Working knowledge with Verilog/System Verilog.

· Good analytical and problem solving skills.

· Self-motivated individual with little guidance and with the ability to work and communicate effectively within a development group is desired.

· Ability to work in a team environment and negotiate solutions with Hardware / Software Engineering and Systems Engineering is preferred.

· Excellent written and verbal communication skills.

Possessing any of the below skills will be an added advantage

Previous experience in computer vision and robotics

Knowledge of low-level optimization techniques e.g. threading, vectorization

Education and Work Experience Requirement

· MS/PhD student in Mathematics/Physics/Electrical Engineering/Computer Engineering plus relevant industry experience in DSP, algorithm design and implementation.