Software Engineer Perception Algorithm

CKGP/PW & Associates, Inc.; Fremont (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative engineering services provider is seeking a talented individual to develop cutting-edge perception algorithms for autonomous driving systems. This role involves optimizing deep learning algorithms using camera and LiDAR data, ensuring robust integration with cross-functional teams, and enhancing future autonomous driving capabilities. Join a dynamic and interdisciplinary team of experts dedicated to shaping the future of mobility and industrial solutions. If you have a strong foundation in deep learning and a passion for technology, this is the perfect opportunity to make a significant impact in the automotive industry.

Qualifications

• Strong expertise in deep learning algorithms for autonomous systems.
• Proficient in Python for scalable software development.
• Experience in designing evaluation pipelines for ML models.

Responsibilities

• Develop and optimize perception algorithms for autonomous driving.
• Collaborate with teams for seamless integration of algorithms.
• Test and deploy algorithms into production programs.

Skills

Deep Learning Algorithms

Python

Object Detection

Tracking

Segmentation

Machine Learning Model Debugging

Communication Skills

Education

Bachelor’s degree in Computer Engineering

Bachelor’s degree in Electrical Engineering

Bachelor’s degree in Automotive Engineering

Bachelor’s degree in Mechanical Engineering

Ph.D. in a related field

Tools

PyTorch

TensorFlow

MXNet

Job description

Description

Who we are:

The EDAG Group is a globally leading, independent engineering services provider that combines excellent engineering with the latest technology trends.

With a global network of some 60 branches, the EDAG Group realizes projects in the Vehicle Engineering, Electrics/Electronics and Production Solutions segments. Drawing on more than 50 years of engineering experience, EDAG's proprietary 360-degree development approach has become a hallmark of quality in the holistic development of vehicles and smart factories. The company's interdisciplinary expertise in the areas of software and digitization provides it with crucial skills to actively shape dynamic transformation processes as an innovative partner.

With an interdisciplinary team of around 8,600 experts, the EDAG Group develops unique mobility and industrial solutions for customers that include the world's leading automotive and non-automotive companies. The company is listed on the stock exchange since 2015 and generated revenues of € 796 million in 2022.

This is how you will grow:

• Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
• Research and integrate BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
• Test, release, and deploy perception algorithms into Lucid production programs.
• Support the validation and verification of perception algorithms using prototype and pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving capabilities.

Requirements

This is how you will take us forward:

• Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
• Proficient in Python with a focus on clean, efficient, and scalable software development.
• Comfortable working with large codebases and debugging complex machine learning models.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
• Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
• Excellent communication skills and a strong team player.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
• Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.
• Advanced degrees are preferred.