Luminar Technologies

Rating:
5/5
Luminar Technologies is a leading provider of cutting-edge, AI-driven solutions for corporations and organizations around the world. We specialize in developing advanced software and hardware solutions that enable our customers to better understand and interact with the world around them. As a leader in intelligent automation, our experts are constantly exploring and pushing the boundaries of what’s possible when it comes to connecting people, data, and machines. Our solutions encompass Computer Vision, Autonomous Systems, Robotics, and Intelligent Sensing – technologies that will shape the future of mobility, transportation, logistics, and retail in the years to come. We are harnessing the power of AI and machine learning to develop automated, advanced applications that allow everyday objects, vehicles, and machines to communicate with each other. In doing so, we provide our customers with real-time insights, improved safety outcomes, increased efficiency, and more efficient operations. Our team of highly skilled engineers, scientists, and technicians have extensive experience and knowledge in developing, deploying, and maintaining the software solutions and services we create. As a result, whether it’s programing AI for autonomous vehicles or creating applications for intelligent retail shopping, we are able to harness the power and potential of new technologies and apply it in practical ways. At Luminar Technologies, we are continually innovating and developing solutions that enable us to touch lives and make a difference in the way people interact and move. We believe that the right technology can open the door to a smarter, more efficient and connected world, and that’s why we’re focused on transforming current technologies with smarter solutions.

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1. Machine Learning Engineer

Average Work Hours (weekly unless noted): 40
Average Salary (yearly in dollars unless noted): 105000
Description: This position is responsible for developing and optimizing Luminar's machine learning algorithms and models. They are also responsible for data preparation, feature engineering, and model validation. The ideal candidate should have strong knowledge of programming languages such as Python and C++ as well as experience with popular deep learning frameworks.
Qualifications / Requirements: BS degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related field; experience in developing and optimizing machine learning models such as generative adversarial networks, recurrent neural networks, and supervised learning algorithms; familiarity with software development and engineering processes; experience working with advanced deep learning approaches such as reinforcement learning, meta-learning, and generative adversarial networks.
Locations: Munich, Amsterdam, San Jose, Seattle, Austin, Paris, Singapore, Tokyo, Shanghai
Career Paths: Software Engineer, Robotics Engineer, Autonomous Vehicle Engineer, Quality Assurance Engineer, Machine Learning Engineer, Data Scientist, Electrical Engineer, Mechanical Engineer, Computer Vision Engineer, Embedded Systems Engineer
Job Contacts: jobs@luminartech.com

Recent Reviews

John S.
4.5/5
4.5
I’ve been with Luminar Technoliges for a few years now and it’s easily been my favorite job. The work is very dynamic and challenging and I feel I’m growing as a programmer and IT professional every single day. There’s also great internal support, camaraderie and collaboration within the team, and I also feel like I’m making a real difference and helping to create something really special in the market for our clients.

Frequently Asked Questions

What are the job requirements for a software engineer at Luminar Technologies?
A software engineer at Luminar Technologies should have at least 5-7 years of experience, a Bachelor's or Master's degree in Computer Science, and strong programming skills in C/C++ or Python.
What experience is necessary to be a senior software engineer at Luminar Technologies?
A senior software engineer at Luminar Technologies should have 8+ years of engineering experience and a proven track record of designing, developing, and modifying complex software solutions.