Senior Software Engineer

Responsibilities

Define, Develop, prototype, and productize automotive in-car infotainment audio algorithms across the cabin audio signal chain, including (but not limited to) algorithms like Acoustic Echo Cancellation (AEC), Acoustic voice cancellation, Road Noise Cancellation (RNC), Personalized Sound Zones (PSZ), In-Car Communication (ICC), Voice activity detection, trigger word recognition, etc.

Apply AI/ML methods where beneficial (e.g., model-assisted estimation, adaptive scene classification, learning-based enhancement, Data set creation for training) to improve robustness and user experience (role requirement).

Own algorithm lifecycle activities: requirements interpretation, algorithm design, simulation, development, validation, and tuning, translating concepts into robust, production-ready implementations

Execute embedded implementation and optimization of algorithms on target ADI DSP platforms and relevant SoC platforms (ARM-based and similar), ensuring real-time performance and memory efficiency

Integrate audio algorithms into automotive embedded software stacks and frameworks, ensuring functionality, performance, and reliability on target platforms and reference systems

Contribute to system-level integration and verification of real-time automotive products, including debugging complex multi-domain issues spanning algorithm, firmware, and platform layers

Collaborate with cross-functional stakeholders (systems, firmware/platform, QA, product, customer teams) to refine feature requirements, validate behavior in real vehicles, and support customer integration needs

Use agentic and AI-enabled productivity tools across the engineering lifecycle (e.g., AI-assisted coding, test generation, documentation acceleration, and automated analysis) to improve quality, throughput, and traceability (role requirement).

Document engineering work products (design notes, configuration/guidelines, verification evidence) in alignment with structured development expectations (like ASPICE) typically used in automotive software programs

Demonstrate strong ownership: ability to work independently, address change requests, and iterate quickly via rapid prototyping to validate hypotheses

Ability to create solutions and add value to customer audio system problems through patentable IPs and innovative methods

Qualifications

Education / Academic Record

Bachelor s or Master s degree in Electrical/Electronics Communication, Computer Science, Signal Processing, Embedded Systems, or equivalent with 8-10 years of experience in audio signal processing and AI enabled algorithm developments on embedded platforms

Strong fundamentals in signal processing and algorithmic thinking; exposure to MATLAB-based modeling/simulation is valuable

Core Technical Skills (Must Have)

Strong programming skills in Embedded C/C++ with a disciplined approach to real-time and performance-critical development

Good exposure to AI/ML methods and tools to automotive noise cancellation and audio applications

Solid embedded systems fundamentals including RTOS concepts , concurrency, timing, and debugging

Demonstrated ability to develop and integrate software on ADI DSPs and ARM-based SoC/ASSP platforms interfacing with ADI parts and automotive reference systems

Experience in algorithm-to-embedded translation : floating/fixed-point considerations (as applicable), latency budgeting, memory/performance profiling, and platform-aware optimization (role requirement).

Audio / Automotive Domain Skills (Strongly Preferred)

Background in automotive audio infotainment software projects and/or cabin audio use cases

Hands-on familiarity with one or more: AEC/voice enhancement , RNC/ANC-style adaptation , beamforming/sound zones , in-car communication , and related cabin audio processing

AI / Tooling Skills (Expected for This Role)

Practical exposure to applying AI/ML techniques in signal processing / audio enhancement contexts (role requirement).

Comfort using AI-enabled and agentic engineering tools to accelerate coding, testing, debugging, and documentation while maintaining engineering rigor and traceability (role requirement).

Professional Soft Skills

Strong problem-solving and critical thinking skills; able to break down ambiguous problems and converge on pragmatic solutions

Effective communication and collaboration skills with cross-functional teams and customer-facing stakeholders when needed

Self-starter mindset with strong ownership, ability to handle multiple tasks in parallel , and a learning-oriented attitude

Job Details

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

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