Senior Engineer Sensor Fusion

Sunnyvale, CA /
Connected & Autonomous – Autonomous Projects (4082) /
Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.

This role will support and drive algorithmic development in the sensor fusion team in order to bring SAE level 4 autonomous vehicles to the market safely. In our context, sensor fusion is the task of combining all information from external sensors such as camera, LiDAR, radar, ultrasound and others, in order to create a high-fidelity 360 degree model of the environment around a self-driving vehicle to facilitate downstream decision making.

Key Tasks & Responsibilities:

    • Developing robust and memory efficient real-time algorithms for sensor fusion and integrate software into test vehicles
    • Developing high-quality source code by applying best-practice software engineering methods, including code reviews, design guidelines, refactoring, unit and regression testing
    • Screening of state-of-the-art sensors and algorithms, especially regarding camera, LiDAR and radar data processing
    • Contributing to the overall architecture design of in-vehicle systems
    • Mentoring and supervising interns and colleagues with less experience
    • Writing patents and scientific papers and engage with the scientific community

Education & Experience:

    • Bachelors or higher degree in Physics, Computer Science, Electrical Engineering, Mechanical Engineering or similar
    • Strong mathematical and analytical skills, especially in statistics, estimation and optimization
    • Advanced programming skills in C/C++ and some scripting language (e.g. Python)
    • Advanced knowledge in general software engineering (code design, patterns, source code versioning tools such as git)
    • Solid knowledge about at least two sensor technologies relevant for self-driving vehicles (camera, LiDAR, radar, ultrasound)
    • Experience with state estimation concepts (Bayesian filters, Kalman, EKF, particle filters) and their implementation
    • Background in machine learning and deep learning concepts and algorithms
    • Hands-on experience with deep learning frameworks such as Tensorflow, PyTorch, Caffe
    • Ability to interact with remote locations over different time zones and create a link between remote locations and Silicon Valley
    • Valid driver license

Preferred Qualifications:

    • Knowledge in rapid prototyping frameworks, e.g. ADTF, DDS, ROS
    • Experience with real-time programming of embedded platforms and their operating systems
    • Experience with sensor fusion paradigms and algorithms
Why should you apply?
Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. Our benefits include medical, dental and vision insurance, 401k savings plan, tuition and fitness reimbursement programs and much more.  We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce.
MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location.  MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Thank you for your interest in Mercedes-Benz Research & Development North America. Please be aware the impact of COVID-19 could increase the amount of time it takes our HR and Hiring Team to process your application. We apologize for any inconvenience this may cause. We are dedicated to the health and safety of our employees and candidates. We appreciate your patience during this time.

Mercedes-Benz Research and Development North America, Inc.