Systems Engineer Intern

As a Systems Engineer Intern at Plus, your responsibilities include defining system requirements for SAE levels zero to four driving automation, decomposing external stakeholder requirements into subsystem requirements, designing test cases to verify and validate system software on both bench and vehicle platforms, and documenting requirements using tools like JAMA/Polarion. Collaboration with software developers and communicating results to stakeholders are also key components of this role.

To qualify for the Systems Engineer Intern position at Plus, you must be pursuing a Master's or PhD in Electrical Engineering, Systems Engineering, or Robotics. This academic focus ensures that candidates have the necessary theoretical foundation and technical skills to contribute effectively to our cutting-edge projects in automated driving systems.

Candidates for the Systems Engineer Intern position at Plus should possess strong organizational and communication skills. Familiarity with vehicle-level verification and validation of software for ADAS and autonomous vehicles is crucial. Additionally, proficiency in programming languages like Python and C++, as well as an understanding of vehicle communication networks such as CAN, is preferred. Experience with platforms like Ubuntu, ROS, and Linux can be beneficial but is not mandatory.

Interns at Plus can expect to gain hands-on experience in advanced driver assistance systems and autonomous vehicle technologies. You'll learn how to apply theoretical knowledge in a practical environment, develop critical problem-solving skills, and collaborate with experts in the field. This experience not only enhances your resume but also prepares you for a successful career in automotive engineering.

The hourly pay for a Systems Engineer Intern at Plus ranges from $19 to $65. This range is based on various factors, including your location, educational level, and prior experience. Plus values your contribution and aims to provide competitive compensation for your work while you learn and grow in the field.

When responding to this question, express your enthusiasm for advanced driver assistance systems and autonomous vehicle technologies. Highlight specific projects at Plus that excite you and explain how the role aligns with your career goals in automotive engineering.

Provide specific examples of how you've interacted with vehicle communication protocols. Discuss any projects or coursework that involved using CAN. Demonstrate your understanding of how these networks operate and their importance in autonomous vehicle technology.

Outline a systematic approach to defining requirements, including gathering input from stakeholders, analyzing existing regulations, and breaking down requirements into manageable subsystems. Emphasize the importance of clear documentation and communication in this process.

Discuss your approach to designing test cases, drawing on your understanding of software functionality and user scenarios. Emphasize your ability to think critically and anticipate edge cases, ensuring that tests are thorough and effective.

Explain your method for prioritizing tasks, such as using a matrix for urgency and importance or leveraging project management tools. Illustrate with examples where you successfully managed competing deadlines.

Mention specific tools such as JAMA or Polarion, and explain how you've used them in past experiences. Discuss your understanding of the importance of clear requirement documentation in the development process.

Share an anecdote about a relevant project, detailing your specific contributions, challenges faced, and what you learned. Emphasize your passion for autonomous technology and how it shaped your interest in this internship.

Discuss your proficiency in Python and C++, providing examples of how you've used them in your projects or studies. Highlight any software development or testing experiences relevant to automotive systems that showcase your coding skills.

Address key safety considerations such as compliance with regulatory standards and thorough testing of features in different scenarios. Focus on the significance of ensuring reliability and safety for end-users in autonomous driving systems.

Convey your openness to feedback and its importance in personal growth and team productivity. Share experiences where you've successfully incorporated feedback into your work, demonstrating adaptability and a willingness to learn.