As an senior software engineer, you will be responsible to develop, implement, and test software for high impact projects that are aligned to  Self driving vehicle technology.

Your Missions

• Own and develop high quality embedded software solutions as part of a larger team; leading and participating in future development
• Collaborate with Systems Engineers in architecting requirements
• Conduct design and code reviews for C++14 and/or Python projects
• Lead and participate in embedded SW implementation, applying strong SW development principles
• Conduct software verification (unit testing, simulation, test automation, on hardware and in-vehicle as needed)
• Provide clear and complete documentation per the software development process
• Collaborate with team members through Scrum/Agile.  Utilize agile software development methodologies including continuous integration and continuous deployment.
• Take ownership of each project, make design and implementation decisions autonomously, and mentor junior members

Let's talk about you!

• 8+ years designing and developing production software in C++, including C++14
• 3+ years of automotive embedded software development or similar
• Development experience in another language (e.g. Python, C#)
• Experience developing unit tests based on GTest and GMock
• Experience in object-oriented software development, algorithms, and data structures, design patterns
• Experience working with large code bases, developing entirely new code and maintaining existing code, within a CI/CD environment
• Experience with agile software development
• Experience providing technical guidance to team members
• Ability to investigate issues based on limited information.  Demonstrated high level of analytical ability to resolve complex problems.
• Creative, disciplined, strong sense of responsibility
• Strong leadership and interpersonal communication skills, proven ability to collaborate effectively with team members locally and remotely
• Minimum Education Required: Bachelor’s Degree in Computer Science, Mechatronics, Software, Electrical or Computer Engineering. Advanced degrees preferred.

Preferred Skills and Experience

• Understanding of major automotive vehicle systems such as Advanced Driver-Assistance (ADAS)
• Exposure to Automotive Platforms (Ethernet/CAN/LIN, AUTOSAR, QNX)
• Knowledge of vehicle architectures, serial and ethernet data communication, and hardware/software interfaces
• Experience with Machine/Deep Learning algorithms
• Experience with Data Visualization and Business Intelligence tools (e.g. HUE, Jupyter, PowerBI)
• Experience with big data databases (e.g. Hadoop/SQL/NoSQL)
• Exposure to sensors or embedded devices – e.g. cameras, radars, LiDARs
• Exposure to GPU computing
• Experience with SAFe methodologies
• Experience with OBDII, ISO26262 functional safety control systems