Staff Embedded Base Software Engineer – Audio Systems
Software EngineerSoftware Engineering
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Quick Summary
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.
Requirements Summary
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,
Technical Tools
Software EngineerSoftware Engineering
About the Role
~1 min readResponsibilities
~1 min read- →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.
Requirements
~2 min read- 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.
Location & Eligibility
Where is the job
United States
On-site within the country
Who can apply
US
About this job
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- November 4, 2026
- First seen
- November 4, 2026
- Last seen
- November 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 57%
- Scored at
- November 4, 2026
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