Principal Research Scientist; Hybrid - Shakopee, MN

Principal Research Scientist (Hybrid - Shakopee, MN) page is loaded## Principal Research Scientist (Hybrid - Shakopee, MN) locations:
MN, Shakopeetime type:
Full time posted on:
Posted Todayjob requisition :
R27150#
** Principal Research Scientist
** Shakopee, MN – GN North American Headquarters (Hybrid)
In the role of
** Principal Research Scientist
** on our GN research team, you will contribute to our purpose of Bringing People Closer.

You will be one of the technical anchors for our signal processing roadmap – designing, implementing, and validating state‑of‑the‑art audio and hearing‑aid algorithms that significantly improve speech intelligibility, listening comfort, robustness, and sound quality in challenging real‑world environments.

You will help set the technical direction for core hearing‑aid features and turn complex ideas into reliable solutions used daily by people with hearing loss worldwide.
** The team you will be part of:
** You will join a high‑impact research team within GN, working closely with signal processing, machine learning, acoustics, audiology, data science, and spatial sound in Shakopee and across our global organization.

Our culture is ambitious, open, and customer‑obsessed. We:
* Use scientific rigor and data to challenge assumptions.
* Collaborate across disciplines to solve hard technical problems.
* Take pride in shipping robust, well‑engineered features – not just prototypes.
* Aspire to continuously raise the bar on our technology and ourselves, and we expect you to play an active role in shaping both.
** Your contribution is appreciated, and you will:
*** Own the design and optimization of advanced digital signal processing algorithms for hearing instruments, including (but not limited to) multi‑band amplification, adaptive feedback cancellation, single‑ and multi‑mic noise reduction, beamforming, and speech enhancement.
* Lead the end‑to‑end algorithm lifecycle: from concept and simulation in Matlab/Python, to fixed‑point implementation in C/C++/assembly on embedded hearing‑aid platforms to verification in lab and field.
* Act as a key binding link between research, development, electro‑acoustic engineering, audiology, and product management, translating user and business needs into clear algorithm requirements and concrete technical designs.
* Drive and support the development of machine‑learning‑based features for noise reduction and speech enhancement, including dataset strategy, feature design, evaluation metrics, and integration of models into embedded platforms.
* Design and analyze perceptual listening tests to evaluate intelligibility, sound quality, and user preference in realistic acoustic environments, and use the results to iterate algorithm design.
* Document architectures, design rationales, and test results with a level of clarity that enables reuse, maintenance, and regulatory documentation.
* Act as a senior technical mentor – reviewing designs and code, sharing best practices in DSP, and helping grow the competence level of the broader engineering organization.
** To perform well in the role, we imagine that you:
*** Have a PhD in Applied Physics, Electrical Engineering, Acoustics, Signal Processing, or a related field, with a strong focus on audio, speech, or hearing technologies.
* Have deep, hands‑on expertise in digital signal processing for audio and speech, including core algorithms such as:  + Adaptive feedback/echo cancellation  + Multi‑band dynamic range compression  + Single‑ and multi‑channel noise reduction  + Beamforming and microphone array processing  + Speech enhancement in non‑stationary noise
* Are very comfortable moving between theory and implementation: deriving, analyzing, and simulating algorithms – and then implementing, profiling, and debugging them on constrained embedded platforms.
* Have strong programming skills in Matlab and C, and solid experience with at least one of C++, Python, R, or embedded assembly on DSP platforms.
* Understand hearing‑aid‑relevant electro‑acoustics in practice and can design, execute, and interpret electro‑acoustic measurements, including test setups, calibration, and regression test design.
* Bring experience…