Staff Engineer, Automotive Software Algorithm Engineering

Job Title

Staff Engineer, Automotive Software Algorithm Engineering

Role Summary

Design, implement, and productize in-car infotainment audio algorithms for automotive platforms, owning the algorithm lifecycle from requirements through production deployment. Work on signal-chain features such as AEC, road-noise cancellation, personalized sound zones, in-car communication and voice enhancement, and ensure real-time, memory-efficient implementations on ADI DSP and ARM-based SoC platforms.

Collaborate with systems, firmware, QA, product, and customer teams to integrate and validate solutions in vehicle reference systems and support customer integration and verification.

Experience Level

Senior-level. The posting requests approximately 7–8 years of experience in audio signal processing and AI-enabled algorithm development on embedded platforms.

Responsibilities

Primary responsibilities include algorithm development, embedded implementation, and system integration for automotive cabin audio use cases.

• Define, design, prototype, and productize infotainment audio algorithms (AEC, voice enhancement, RNC, PSZ, ICC, VAD, trigger-word recognition, etc.).
• Lead algorithm lifecycle activities: requirements interpretation, design, simulation, development, validation, tuning, and documentation.
• Implement and optimize algorithms for real-time performance on ADI DSPs and ARM-based SoC platforms, considering latency and memory constraints.
• Integrate algorithms into embedded software stacks and automotive reference systems; support system-level verification and debugging across algorithm, firmware, and platform layers.
• Apply AI/ML methods to improve robustness and user experience where appropriate and use AI-enabled engineering tools to accelerate development while preserving traceability.
• Produce engineering deliverables aligned with automotive development practices (e.g., ASPICE) and contribute patentable innovations where applicable.
• Work independently, iterate rapidly via prototyping, and support customer validation in real vehicles.

Requirements

Must-have technical and professional skills; preferred items listed separately.

• Must have: Strong programming in Embedded C/C++ with experience in real-time, performance-critical development.
• Must have: Embedded systems fundamentals (RTOS concepts, concurrency, timing, low-level debugging).
• Must have: Experience implementing and optimizing algorithms on ADI DSPs and ARM-based SoC platforms; algorithm-to-embedded translation (floating/fixed-point, latency budgeting, memory/performance profiling).
• Must have: Practical experience applying AI/ML techniques in audio/signal-processing contexts.
• Must have: Experience with MATLAB-based modeling/simulation for signal processing workflows.
• Familiarity with system integration, verification, and debugging of multi-domain issues across algorithm, firmware, and platform layers.
• Strong problem-solving, communication, and collaboration skills; self-starter capable of handling multiple priorities.
• Willingness to travel approximately 10% for customer or integration activities.
• Preferred: Background in automotive infotainment audio projects and hands-on experience with AEC, beamforming, sound zones, or in-car communication.

Education Requirements

Bachelor's or Master’s degree in Electrical/Electronics & Communication, Computer Science, Signal Processing, Embedded Systems, or a related technical field — or equivalent practical experience. The posting associates this academic background with ~7–8 years of relevant industry experience.

About the Company

Company: Analog Devices

Headquarters: Norwood, Massachusetts, USA

Analog Devices is a leading global semiconductor company that bridges the physical and digital worlds, enabling breakthroughs at the Intelligent Edge. With a focus on innovation, ADI develops solutions that drive advancements in digitized factories, mobility, and digital healthcare. The company employs around 24,000 people globally and reported revenues exceeding $9 billion in FY24, creating technologies that transform lives across various sectors.