Senior Software Engineer

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Responsibilities & Scope

• 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 - Academic Background, Experience, Skillset & Soft Skills

• 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-embeddedtranslation: 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 (e.g., feature extraction, classification, learning-based estimators) (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

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.