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Audio DSP Deployment Engineer

Hark· Acoustics Engineering
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San Jose$120k - $300kfull-timePosted 4w ago

About the role

Role focused on implementing and optimizing on-device audio algorithms for embedded DSP cores, transitioning from desktop prototypes to real-time production code, and owning the on-device audio chain from design to shipping feature.

Responsibilities

  • Own the on-device design of the audio algorithm chain: what runs where, at what precision and block size, and within what compute, memory, and latency budget
  • Take algorithms from desktop prototype in MaxMSP, JUCE, Python, and MATLAB to production C/C++ running in real time on the embedded DSP cores, re-architecting them where the target demands it rather than transcribing them
  • Develop, tune, and extend algorithms directly on device, and propose new processing where measurement or listening says the current approach falls short
  • Optimize for the target DSP architecture: vector and SIMD intrinsics, fixed-point versus floating-point trade-offs, memory placement and DMA, cache and tightly coupled memory behavior, block size and latency tuning
  • Profile and budget performance, measuring cycle load, memory footprint, and end-to-end latency, and removing hot spots
  • Validate against both the reference implementation and measured and perceived audio quality, and build the test fixtures and regression scripts that prove it
  • Debug on-device audio issues using platform tuning, logging, and real-time trace tools
  • Work with the algorithm, acoustics, and hardware teams to shape what the on-device chain should do, not only how it gets built

Qualifications

  • Strong modern C/C++ for real-time, resource-constrained embedded systems
  • Solid DSP fundamentals: filtering, FFT and overlap-add processing, sample rate conversion, fixed-point arithmetic, and numerical precision
  • Ownership of on-device algorithm design decisions: restructuring processing to fit real-time constraints, choosing precision and topology, and knowing when to redesign rather than port
  • Comfort working from measurements and listening as well as from a reference implementation
  • Demonstrated experience porting reference algorithms from MATLAB, Python, or desktop C++ to an embedded DSP or SIMD target while meeting cycle and memory budgets
  • Fluency in an embedded toolchain: cross-compilation, on-target debugging, and profiling
  • Experience with embedded audio frameworks and real-time processing pipelines on an SoC platform
  • Ability to work directly with algorithm authors, acoustics, and hardware teams

Skills

Required:C/C++DSP fundamentalsOn-device algorithm designMeasurement-driven developmentMATLAB/Python/desktop C++ to embedded portingEmbedded toolchainEmbedded audio frameworksCollaboration with cross-disciplinary teams
Last updated Sep 24, 2026. Interested? Apply on the company site.
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