Hashlist is hiring: Sr. Infotainment / Audio DSP Developer in Auburn Hills

Join to apply for the Sr. Infotainment / Audio DSP Developer role at Hashlist 4 days ago Be among the first 25 applicants This range is provided by Hashlist. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100,000.00/yr - $200,000.00/yr CEO @ Hashlist / Automotive industry transformation partner. Source work & services with AI We are looking for an IVI-expert with experience in infotainment, audio, and DSP. About the Role Type : Direct employment / permanent Work mode & location : Onsite at least 3d/week in Auburn Hills, Michigan Responsibilities Architect and Design of Automotive Audio Sub-Systems for IVI and Cluster features, including Media, Telephony, Navigation Prompts, Voice Assistants, and Projection modes (CarPlay, Android Auto). Define and implement end-to-end audio signal chains and processing flows for pre/post-processing modules. Develop and optimize Audio HAL/PAL layers using AIDL, and interface with Android and Vera OS Audio Frameworks. Design and develop low-level audio drivers for DSPs (Qualcomm Hexagon, AWE), ARM processors, and external audio peripherals. Collaborate with cross-functional teams (System Architects, DSP Engineers, Hardware Engineers, and Platform Teams) for feature definition, design, validation, and integration. Qualifications Bachelor's Degree in Electrical, Mechanical, or Computer Engineering or related degree field. Minimum 8 years of relevant Software Design and Development life cycle, including a minimum of 8 years in one of the below Software domains (In-Vehicle-Infotainment, Audio, Android AOSP, Audio DSP). Required Skills Strong skills in C/C++/Java/Python. Strong with Audio Frameworks, codecs, DSPs (Qualcomm Hexagon DSP, Audio Weaver), and tuning and Debugging tools. Hands-on experience with IVI platforms (e.g., Android Automotive, QNX Hypervisor, AGL). Integrate third-party audio middleware (e.g., Dolby, etc.) and compliance with automotive standards. Experience in Audio System Architecture and Design reviews. Strong knowledge on Automotive SOCs and Microcontrollers. Debug complex issues in the audio stack spanning from HAL, drivers, middleware, to user-space applications. Experience with communication interfaces like Ethernet, UART, SPI, USB. Experience with CAN, SOME I/P, AVB, or A2B communication protocols is a plus. Knowledge on optimize audio latency, synchronization, and performance for multi-zone and multi-source playback scenarios. Support certification, compliance, and end-of-line (EOL) testing processes related to audio. Strong debugging skills using tools like GDB, strace, logs, and oscilloscopes/analyzers. Excellent problem-solving skills and ability to work in a fast-paced environment. Experience with SCM tools such as: Git, Gerrit, Jenkins, JIRA, RTC. Knowledge of Agile methodologies and software development life cycles (SDLC). Knowledge on 3rd party SW integration in multi-party supplier eco-system. Experience with premium branded audio system integration (e.g. Alpine, Harmon etc.). Experience with Voice Assistant Technologies (Alexa, Google, GSA, WuW). Familiarity with ISO 26262 or ASPICE-compliant development environments. Preferred Skills Minimum 8 years of experience in Automotive OEM or Tier-1 in In-Vehicle-Infotainment Audio. Experience in Architect and Design of Automotive Audio Sub-Systems for IVI and Cluster features, including Media, Telephony, Navigation Prompts, Voice Assistants, and Projection modes (CarPlay, Android Auto). Experience with SCM tools such as: Git, Gerrit, Jenkins, JIRA, RTC. Experience on 3rd party SW component integration in multi-party supplier eco-system. Experience in define and implement end-to-end audio signal chains and processing flows for pre/post-processing modules in DSP. Strong understanding of Agile Methodologies and software development practices. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Hashlist by 2x #J-18808-Ljbffr