Senior Audio System Engineer
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On behalf our customer GreenWaves People in Action is looking for a
GreenWaves Technologies is a fabless semiconductor company founded in 2014 and based in Grenoble, France. They design and market ultra low power processors for energy constrained products such as hearables, wearables, IoT & medical monitoring products.
GreenWaves’ system-on-chips enable companies to develop and bring to market products with new to world features enabled by state of the art machine learning and digital signal processing techniques. The leading edge development tools enable audio and machine learning developers to productively harness the power of GAP processors.
GreenWaves GAP9 processor powers features such as neural network based noise removal and adaptive noise cancellation, multi-channel spatial sound and listening enhancement technologies in next generation earbuds and headphones with market leading energy efficiency.
As a growing, talented and highly multicultural team with sharp personalities, they are proud of what they do and how they do it. Their non-hierarchical culture means living their core values: ownership, collaboration, agility, dedication to customers and engagement. They believe that work is more than just a to-do list. You are empowered to build a leading company and to share its success!
We are looking for talented, enthusiastic, and committed people to be a part of the GreenWaves family starting up in Denmark.
The audio integration framework is based on a software component model, which allows to describe an audio transformation graph in the form of a set of sources (audio interfaces, memory), nodes (performing the transformations), and destinations (audio interfaces and memory). The "deployment" of an audio graph consists in executing these processing nodes on different components of the GAP architecture: the main CPU, the cluster (parallel processor and inference accelerator for neural networks), and the SFU (low latency audio DSP). This audio framework will be made available to the customers under an Apache-type open-source model.
We are looking for an experienced engineer with a strong background in real-time embedded software and experience of audio application integration, to reinforce the development of this audio framework. You will in particular contribute to:
This position requires numerous interactions with the different teams of the company: SDK, audio signal processing, AI applications, etc.
Please send your CV to
Applications are evaluated continuously
Senior Audio System engineer
GreenWaves Technologies is a fabless semiconductor company founded in 2014 and based in Grenoble, France. They design and market ultra low power processors for energy constrained products such as hearables, wearables, IoT & medical monitoring products.
GreenWaves’ system-on-chips enable companies to develop and bring to market products with new to world features enabled by state of the art machine learning and digital signal processing techniques. The leading edge development tools enable audio and machine learning developers to productively harness the power of GAP processors.
GreenWaves GAP9 processor powers features such as neural network based noise removal and adaptive noise cancellation, multi-channel spatial sound and listening enhancement technologies in next generation earbuds and headphones with market leading energy efficiency.
As a growing, talented and highly multicultural team with sharp personalities, they are proud of what they do and how they do it. Their non-hierarchical culture means living their core values: ownership, collaboration, agility, dedication to customers and engagement. They believe that work is more than just a to-do list. You are empowered to build a leading company and to share its success!
We are looking for talented, enthusiastic, and committed people to be a part of the GreenWaves family starting up in Denmark.
The audio integration framework is based on a software component model, which allows to describe an audio transformation graph in the form of a set of sources (audio interfaces, memory), nodes (performing the transformations), and destinations (audio interfaces and memory). The "deployment" of an audio graph consists in executing these processing nodes on different components of the GAP architecture: the main CPU, the cluster (parallel processor and inference accelerator for neural networks), and the SFU (low latency audio DSP). This audio framework will be made available to the customers under an Apache-type open-source model.
We are looking for an experienced engineer with a strong background in real-time embedded software and experience of audio application integration, to reinforce the development of this audio framework. You will in particular contribute to:
- Management of dynamic creation of links between components (bindings)
- Selection/implementation of methods to optimize the life cycle of a component (promotion of constant inputs or not towards closer memories, etc.)
- Development of real-time execution strategies by combining offline scheduling and online scheduling, taking into account the real-time constraints of the application
- Assessment of the framework performances on real use cases, and support to end-users
This position requires numerous interactions with the different teams of the company: SDK, audio signal processing, AI applications, etc.
Required skills:
- Experience in SW integration of real time applications, preferably audio
- Knowledge of scheduling strategies (static, dynamic) with timing deadlines
- Understanding of RTOS and low-level drivers
- Strong team spirit and communication, happy to collaborate and share with your teammates, even remotely
- Work comfortably in an international environment, exchanging by e-mail, telephone or conf-calls
- Good level in English
Desired skills:
- Previous experience in MCU with HW accelerators
- Familiarity with debugging on boards (oscilloscope, logic analyzer, etc.)
- Previous experience in multicore applications
Are you interested?
Please send your CV to
Applications are evaluated continuously
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Jobbet er oprettet på vores service den 24.2.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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