MathWorks is seeking an engineer with technical experience and interest in the areas of automotive Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD). By deeply engaging and partnering with automotive customers in this area, you will influence the way they develop and verify their systems using MathWorks tools. The work will involve recommending technical approaches using the existing products and developing proof of concept solutions for possible future products. The area of work will include simulation and verification of path planning, perception, and controls algorithms.
This position is located in Santa Clara, CA and travel can be expected up to 40%, generally throughout North America.
- Build instant credibility in front of customers by leveraging the industry experience and serve as a primary advisor to select customers for deep technical engagement
- Lead engagements with key Tier-1 suppliers and OEM's in the ADAS/AD area by presenting MathWorks' tools capabilities, vision, and lead them by defining technical proof of concept projects and driving them forward
- Work closely with sales and other customer-facing staff to provide technical guidance for successful adoption of MathWorks tools
- Advocate for the future direction of MathWorks products based on customer interactions
- A bachelor's degree and 7 years of professional work experience (or a master's degree and 5 years of professional work experience, or a PhD degree) is required.
- Proficiency with MATLAB
- Experience with Simulink
- Candidates must be willing to travel 25% to 50% of the time
- Customer facing experience
- Strong working knowledge of Simulink
- Experience in the automotive industry
- Experience in ADAS/AD area and signal processing
- Experience with radar systems
- Experience in structured and unstructured path planning
- Experience with multi-sensor data fusion for drivable path detection
- Experience in system level simulation
- Experience developing path planning algorithms
- Strong working knowledge of code generation for rapid prototyping