SteelSeries, Inc. Careers, R&D Engineer /researcher

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nathan sl

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Sep 15, 2021, 4:11:24 AM9/15/21
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Join a young and growing research team [<30 Y/O, ~8 people]

Keyword
: audio, machine learning, video games

Please apply here :  https://jobs.jobvite.com/careers/steelseriescareers/job/o8RSgfwR?__jvst=employee&__jvsd=sfng9jwP&__jvsc=LinkedIn&bid=ne13tWwc

About Steelseries
Gaming? Check. Esports? Check. Hardware? Check. Software? Check. We could go on and on.  The point is we've been helping gamers get better since 2001.  In fact, Esports pros have won more money using SteelSeries products than any other brand and we're just getting started. Esports and Gaming are multi-billion-dollar industries, and we're going to continue supporting them through innovative gear and software gamers need and love.  We believe in being true to the gaming community, which means being true to ourselves. We create products that help the best of the best be better, and products that help the not-so-good feel not-so-bad.  Most of us are gamers, but you don't have to be, we promise!  Just don't be surprised if you become one within a few weeks of starting!

Want to see what we're up to? Find us on social media, where we're highlighting our community, amazing partners, and products!

Position
As a member of the R&D team, you will actively participate in the development of future SteelSeries products.
Your line manager will be the R&D Director of the Software & Services division, and you will be based in Lille.
You will be expected to carry out projects related to audio and digital signal processing, independently or in collaboration with other members of the R&D team.

You will be responsible for :
  • Develop technology concepts and algorithms that support SteelSeries' product strategy
  • Deliver prototypes that can be easily tested by product managers and integrated by software development engineers
  • Develop and maintain test and measurement tools to assess the quality of algorithms, both objectively and subjectively
  • Deliver qualification and benchmarking reports
  • Manage audio and DSP discussions with product managers and software development engineers
  • Identify patentable concepts
  • Monitor technological developments in the audio and DSP fields through active technological and competitive intelligence
  • Develop and maintain scientific expertise in several of the following areas: audio signal processing, acoustics (especially spatial) and psychoacoustics, statistics and probabilistic mathematics, artificial intelligence (computer vision and machine learning)
  • Working independently with different teams in different countries.
And, subject to hierarchical authorization, if in accordance with the roadmap and budget, or with the intellectual protection and communication strategies:
  • Participate in scientific conferences
  • Writing and publishing scientific papers
  • Supervising trainees or PhD students.

Technical background
To access this position and ensure the success of your missions, you must have
  • An engineering degree or master's degree (Bac+5) in the field of audio (digital signal processing, acoustics or machine learning)
  • At least 3 years of professional experience (or a PhD in the above-mentioned fields)
  • Sound knowledge and know-how in the field of audio, especially digital audio signal processing (biquad, FFT, short term FFT analysis/synthesis, Wiener filtering, etc.)  
  • Solid knowledge and know-how in the field of spatialization & sound virtualization (HRTF, reverberation, Ambisonics, object-oriented formats, etc.)
  • Strong knowledge and expertise in the field of signal restoration, especially speech restoration (denoising, echo cancellation, antenna processing, etc.)
  • Proven experience in the development of effects and audio processing chains
  • Proven experience with software development tools: Python, Matlab, C/C++/C#, Git, etc.
  • Advanced notions in the field of machine learning: statistics, applied mathematics, regression, SVM, supervised and unsupervised learning, neural networks and deep learning (MLP, CNN, RNN), etc.
  • A personal interest in science, technology and innovation, especially technological innovation
  • Healthy curiosity, open-mindedness and the ability to learn new skills quickly
  • Team spirit and the ability to collaborate proactively
  • The ability to tackle several tasks in parallel independently.



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