Real-Time DSP/Embedded Engineer

As a Real-Time DSP/Embedded Engineer at E-Space, you'll be responsible for implementing physical layer processing on DSP for efficient IQ signal processing, developing real-time control algorithms for embedded systems, and maintaining system functionality at the Linux application level. You'll also contribute to optimizing our chain model software and participate in hardware integration, testing, and validation to ensure the reliability of our innovative products.

To qualify for the Real-Time DSP/Embedded Engineer role at E-Space, candidates should have a Master's or Engineering degree in Telecommunications, Computer Science, or Electronics. A minimum of three years of experience in Embedded Software Engineering, firmware or DSP programming, and real-time systems is essential. Strong expertise in C embedded programming, along with familiarity in DSP/PHY-level algorithms, multi-core environments, and digital communications standards such as 5G, is required.

For the Real-Time DSP/Embedded Engineer position at E-Space, candidates should have strong experience in C embedded programming, especially in multi-core and multi-architecture environments. Proficiency in Python and MATLAB, particularly for modeling Tx/Rx chains, is also important. This combination of programming skills allows engineers to develop optimized and efficient solutions for our next-gen space-powered IoT systems.

At E-Space, collaboration is key to a successful product outcome. As a Real-Time DSP/Embedded Engineer, you will work closely with our hardware team to integrate and validate software components. Regular interactions with different teams ensure a seamless flow of ideas and troubleshooting processes, fostering an environment where innovation thrives, and new solutions can be rapidly tested and implemented.

E-Space is committed to the continuous personal and professional development of its team members, especially for roles like the Real-Time DSP/Embedded Engineer. Opportunities for growth include access to advanced training programs, proactive mentorship from experienced engineers, and the chance to engage in innovative projects that challenge your skills and push the boundaries of technology, aligning with your career aspirations.

When answering this question, focus on specific projects you've worked on that involved multi-core environments. Discuss the challenges you faced and how you overcame them, emphasizing your hands-on experience with C programming and the outcomes of your work.

Provide details about the specific DSP algorithms you've worked on, discussing the context and the results they achieved. Be sure to highlight your understanding of vectorial processing and fixed-point computations, linking your experience to the technologies used at E-Space.

Discuss your systematic approach to testing and validation, including any specific methodologies you've employed. Highlight your experience with creating test scenarios and performing lab verifications to guarantee that the product meets high reliability standards.

When approaching this question, illustrate your familiarity with Layer 1/2 digital communications standards. Share relevant work experiences where you applied these standards or any projects that required a deep understanding of real-time DSP-related technologies.

Share a specific example that demonstrates your ability to work with hardware teams, detailing the collaborative approach you took. Describe the communication strategies that worked well and how you ensured all teams were aligned on project objectives.

Explain the critical nature of real-time control in DSP systems, emphasizing its impact on system performance and reliability. Discuss any particular experiences you have that highlight your understanding of integrating real-time control algorithms in embedded systems.

Outline the steps you take to optimize chain model software, including analyzing performance metrics, experimenting with various approaches, and validating the outcomes. Give examples from your previous work that illustrate your ability to enhance system performance.

Discuss the modeling tools and techniques you are proficient in, particularly in Python (NumPy) and MATLAB. Give examples where you’ve utilized these tools to solve complex problems or improve system efficiency in your previous projects.

Convey your methodology for developing effective test scenarios and your hands-on experience during lab verifications. Highlight specific projects where your testing contributed to achieving project goals or enhancing product reliability.

Discuss your strategies for keeping current with DSP technologies, such as attending workshops, participating in online communities, or reading research papers. Share how you have applied new knowledge to your work and the outcomes of these applications.