Embedded Firmware Engineer - RDL

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed‑signal processing. Our rockstar team thrives on solving complex challenges with innovative end‑user solutions for the world’s top consumer brands. Cirrus Logic is also known for its award‑winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn.

But we couldn’t do it without our extraordinary workforce – and that’s where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!

Cirrus Logic is seeking a highly skilled Embedded Software Engineer to design and develop critical internal and customer‑facing algorithms, along with configuration, calibration, and test tools, for our industry‑leading mixed‑signal ICs. In this role, you’ll build sophisticated demonstration, calibration, and tuning tools, as well as testing platforms that showcase our IP, help win new business, and ensure system quality. You’ll also collaborate closely with field application engineers and customers to integrate our technology into next‑generation consumer products and provide customers tools for their development and production processes.

• Design and develop algorithms, real‑time testing and tuning software for Cirrus Logic ICs.
• Build host‑side Python applications to test, configure and demonstrate Cirrus Logic ICs.
• Collaborate with cross‑functional teams including hardware, software tools, applications, and SQA.
• Support customer integration and field engineering efforts.

• BS or MS in Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in audio signal processing and interfacing with hardware and drivers on Windows platforms.
• Customer‑facing development experience in the Laptop/Desktop PC space.
• Advanced proficiency with Python application development, particularly hardware interfacing, and solid C/C++ experience.
• Excellent communication and documentation abilities.

• Experience with audio related electronics (codecs, filters, amplifiers, etc.)
• Strong lab experience with acoustic measurement and audio quality evaluation metrics.
• Experience with classical machine learning techniques and modern neural network architectures for audio processing.