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Audio Dsp Software Application Engineer Jobs (NOW HIRING)

As a Manufacturing Software Engineer, you will support Ava MO manufacturing machining projects and ... software application upgrades; and diagnoses and resolves network, server, and related issues as ...

As a Manufacturing Software Engineer, you will support Ava MO manufacturing machining projects and ... software application upgrades; and diagnoses and resolves network, server, and related issues as ...

... Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered ... Audio DSP Programming, Video Walls, GPU Remote computing (PCoIP), enterprise design experience in ...

DSP Software Engineer

San Carlos, CA · On-site

$150 - $200/hr

The Role We're looking for a DSP Software Engineer to develop the real-time signal processing algorithms that power our space-based communications and sensing systems. In this role, you'll design ...

DSP Software Engineer

San Carlos, CA · On-site

$172K - $201K/yr

The Role We're looking for a DSP Software Engineer to develop the real-time signal processing algorithms that power our space-based communications and sensing systems. In this role, you'll design ...

Expected to meet high level software engineering standards in a timely manner * Creates periodical status reports for key functions * Works as part of a software engineering team using source control ...

DSP Software Engineer

Carmel, IN · On-site

$131K - $172K/yr

Senior Embedded Software Engineer - DSP Software Join our Innovative Team Want to do more than just imagine the ways our world will move tomorrow? Here's your opportunity. Join the technology company ...

DSP Software Engineer Tucson, AZ Applications will be accepted on an ongoing basis. ICR is seeking a experienced DSP Software Engineer in the Tucson, AZ area. The ideal candidate will have ...

$150 - $200/hr

As Audio AI Engineer, you own the real‑time audio pipeline on the robot, the models that turn ... The role can emphasize conversational AI, audio ML modeling, or embedded audio DSP. We expect depth ...

DSP Software Engineer

Carmel, IN · On-site

$131K - $172K/yr

Senior Embedded Software Engineer - DSP Software Join our Innovative Team Want to do more than just imagine the ways our world will move tomorrow? Here's your opportunity. Join the technology company ...

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Audio Dsp Software Application Engineer information

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How much do audio dsp software application engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for audio dsp software application engineer in the United States is $48.53, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $56.73 per hour, depending on experience, location, and employer.

What are popular job titles related to Audio Dsp Software Application Engineer jobs?

For Audio Dsp Software Application Engineer jobs, the most frequently searched job titles are:

Staff Embedded Base Software Engineer - Audio Systems

Auburn Hills, MI • On-site

Stellantis
IT Services

$124K - $163K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Lead bring-up and integration of audio subsystems on new SoC platforms and hardware revisions.

  • Design and implement low-latency, multi-zone, multi-stream audio routing architectures.

  • Debug and resolve complex audio issues across the stack, including latency, synchronization, and power-state transitions.


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers


Job description

About the Role:
We are seeking an accomplished Staff Embedded Software Engineer to play a key role in the development of next-generation automotive infotainment platforms. As a Staff Engineer, you will provide both technical leadership and hands-on expertise in the design, integration, and optimization of embedded audio software for our QNX-based infotainment HPC, running on Qualcomm Snapdragon SoCs. This role focuses on software below the application layer-encompassing the audio DSP stack, QNX audio resource managers and drivers, and SoC-level audio hardware enablement-to deliver robust, low-latency audio platforms that support multi-zone playback, voice/phone integration, navigation and ADAS chimes, and other advanced in-vehicle audio experiences.
Key Responsibilities:
  • Lead bring-up and integration of audio subsystems on new SoC platforms and hardware revisions, working closely with Qualcomm FAE/support, QNX/BlackBerry support, and internal hardware teams.
  • Design and implement low-latency, multi-zone, multi-stream audio routing architectures to support features such as simultaneous navigation prompts, phone calls, media playback, ADAS chimes, and multi-speaker/zone output.
  • Debug and resolve complex audio issues across the stack - pops/clicks, latency, synchronization, underruns/overruns, power-state transitions, and audio-video sync.
  • Define and enforce automotive-grade quality practices: functional safety considerations, startup/boot time budgets, resource/power constraints, and long-term serviceability.
  • Collaborate cross-functionally with application-layer teams (Android Automotive / AAOS or other infotainment frameworks), hardware/EE teams, and Qualcomm partner engineering.
  • Mentor mid-level and senior engineers, perform design and code reviews, and set technical standards and best practices for the audio domain within base software.
  • Partner with your manager on technical roadmap planning, estimation, and hiring/growth of the audio competency within the team.
  • Drive root-cause analysis and resolution of field/production issues related to audio.
  • Support the architecture and technical roadmap for audio software on our QNX-based infotainment HPC (Qualcomm Snapdragon SoC), spanning audio DSP (ADSP/QDSP6), QNX audio drivers/resource managers, and audio HAL/middleware integration.

Basic Requirements:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 8 years of professional embedded software development experience, with a significant focus on audio software on Qualcomm Snapdragon (or similar Qualcomm) SoC platforms.
  • Deep, hands-on experience with the Qualcomm audio stack: ADSP/QDSP6, AudioReach (or QACT/ACDB tooling), and integrating it into a QNX environment.
  • Hands-on experience with QNX software development: resource managers (io-audio or equivalent), QNX audio driver architecture, IPC (message passing, pulses), and BSP-level bring-up on QNX.
  • Strong C/C++ programming skills and comfort working across QNX resource manager/driver, HAL, and DSP firmware/config boundaries.
  • Solid understanding of audio signal chains: codecs, amplifiers, DSPs, sample rate conversion, mixing/routing, echo cancellation, and low-latency audio paths.
  • Experience debugging with tools such as JTAG/T32, QNX Momentics/System Analysis Toolkit, oscilloscopes/audio analyzers, logic analyzers, and Qualcomm-specific diagnostic/tracing tools.
  • Track record of technical leadership: driving architecture decisions, mentoring engineers, and working across hardware/software boundaries.
  • Experience in automotive or another safety/quality-regulated embedded industry (automotive, aerospace, medical devices, industrial) preferred.

Preferred Requirements:
  • Experience with QNX Platform for Digital Cockpits (QNX PDC) or QNX Hypervisor in an automotive HPC context.
  • Familiarity with automotive audio standards and use cases: multi-zone audio, active noise cancellation, engine sound enhancement, external mic/speaker arrays, phone/voice assistant integration.
  • Experience with functional safety standards (ISO 26262) as applied to software development, including relevant QNX safety-certified configurations.
  • Familiarity with AUTOSAR Adaptive, or other automotive middleware frameworks, and how they interface with a QNX-based audio subsystem.
  • Experience with CI/CD for embedded targets, automated audio validation/test frameworks.
  • Experience leveraging generative AI tools (e.g., Claude, GitHub Copilot, or similar) to accelerate embedded software development - code generation/review, debugging, test-case generation, and documentation.

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