DSP Embedded Software Engineer

Embedded Software Engineer Mid-level (L4 equivalent) 2-5 years

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The job description

Tech stack. C/C++, fixed-point arithmetic, SIMD (NEON/SSE/AVX), ARM Cortex-M with DSP extensions, TI C6000 or ADI SHARC, MATLAB/Python prototyping, CMSIS-DSP

About the role

You will join an audio technology company building noise-cancellation and voice-enhancement products for headsets and conference systems. The DSP team owns the signal processing chain that runs on every device: beamforming, echo cancellation, and adaptive filtering in real time. This role matters because audio quality is the entire product promise, and the difference between good and great lives in cycle counts, fixed-point precision, and filter tuning.

What you will achieve

Ship a production echo-cancellation and noise-reduction pipeline running at 48 kHz with end-to-end latency under 10 milliseconds on the shipping DSP, verified across the full operating temperature range
Drive a 30% reduction in DSP cycle budget by converting floating-point prototypes to optimized fixed-point with SIMD intrinsics, verified bit-exact against the reference, freeing headroom for the next-generation feature set
Reduce tuning time for new acoustic designs by building an automated filter-characterization harness, cutting per-SKU tuning from weeks to days, and document the tuning procedure for the applications team
Build bit-exact fixed-point test vectors that keep the embedded implementation matched to the MATLAB reference within 1 LSB across the full test corpus
Own the DSP validation suite covering 200+ acoustic scenarios, catching regressions before they reach listening tests and keeping release quality gates green, with new scenarios added for every customer-reported issue

What you will bring

Must-haves

2-5 years implementing DSP algorithms on embedded targets, not just MATLAB prototyping, with shipped product experience
Strong fixed-point arithmetic skills: quantization analysis, scaling strategy, and overflow prevention proven by test
Experience with SIMD optimization using ARM NEON or DSP-specific instruction sets, measured in cycles saved
Solid C with real-time audio or signal constraints: no dynamic allocation and deterministic execution paths
Understanding of core DSP theory: FIR/IIR filters, FFTs, and adaptive algorithms such as LMS/NLMS
Experience profiling and optimizing for cycle count on DSP or DSP-extended cores with hardware counters
Ability to read acoustic measurements and translate them into concrete filter requirements

Nice-to-haves

Experience with specific DSP families such as TI C6000, ADI SHARC/Blackfin, or Cadence HiFi
Knowledge of psychoacoustics or perceptual audio evaluation methods
Familiarity with audio frameworks such as ALSA or custom audio pipelines on RTOS