Senior Embedded Software Engineer - Hybrid from San Francisco - job 2 of 2

As a Senior Embedded Software Engineer at Jobgether, your primary responsibilities include developing, porting, and maintaining operating systems, boot software, and device drivers specifically tailored for the Nvidia Jetson platform. You'll focus on optimizing performance, enhancing analysis tools, and integrating diverse sensors like GNSS and IMU into systems. Your role will involve collaboration with cross-functional teams to achieve seamless integration and continuous improvements.

To qualify for the Senior Embedded Software Engineer role at Jobgether, candidates should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field. Proficiency in programming languages such as C and C++ is crucial, along with an in-depth knowledge of system-level Linux and embedded systems development. Familiarity with CUDA/OpenCL programming and experience with CAN communication protocols are also highly regarded.

Success as a Senior Embedded Software Engineer at Jobgether will hinge on your strong programming skills in C and C++, a deep understanding of CPU and GPU architectures, particularly with ARM64 platforms, and experience in system design and implementation. Additionally, your ability to work with performance optimization and to integrate various sensors will be vital in advancing the capabilities of embedded systems.

At Jobgether, the work environment is collaborative, dynamic, and innovative. You can expect flexible work arrangements that promote a healthy work-life balance. The company offers a supportive atmosphere with opportunities for professional development, competitive salaries, and performance-based bonuses, alongside comprehensive health benefits and paid time off.

The hiring process for the Senior Embedded Software Engineer position at Jobgether involves an AI-powered 3-step screening process where applications are thoroughly examined for qualifications and relevance. The top candidates are automatically selected based on their CV and LinkedIn profiles. While only the best-matching candidates are invited for further steps, applicants not selected are considered for other similar opportunities in the future.

When answering this question, focus on specific projects where you designed or optimized embedded systems. Highlight the techniques you used for performance optimization and the results achieved, making sure to showcase your expertise with platforms like Nvidia Jetson or ARM64 architectures.

Share your methodology for debugging, such as using tools for performance analysis or tracing, breaking down the problem into manageable parts, and the importance of testing different scenarios to isolate issues. Offering a real-life example can provide insight into your practical problem-solving skills.

Discuss your proficiency in C and C++ in detail, citing specific projects where you've utilized these languages. Highlight any additional languages or tools you've used and how they contribute to embedded software functionalities.

Use this opportunity to narrate a specific project where you integrated multiple sensors into an embedded system. Discuss the challenges faced, your approach to overcoming them, and the successful outcomes achieved as a result of your efforts.

Elaborate on your experience working with Linux at the kernel level, including any specific contributions to developing drivers. Mention how your experience has enhanced your ability to develop and optimize software for embedded systems, particularly on the Nvidia Jetson platform.

Talk about the testing strategies you implement, such as unit testing, integration testing, and performance analysis. It’s essential to highlight how these practices ensure that code quality is maintained in your development process.

Bring attention to specific tools and software that you rely on for performance analysis, explaining their features and how they can be applied to optimize embedded systems. Offering examples of how you've used these tools effectively can strengthen your response.

Share a specific instance highlighting your collaboration with teams such as software, hardware, or product management. Focus on your role in the communication and the end result of that teamwork, emphasizing the project's overall success.

Provide an insightful perspective based on current trends in embedded systems, discussing the impact of advancements in AI, IoT, and mobile technology. Explain how these trends align with your career goals and how you aim to contribute to this evolving field.

Discuss your strategies for professional development, such as attending conferences, participating in online courses, following industry leaders on social media, and contributing to open-source projects, showcasing your commitment to continued learning and growth in this fast-paced field.