Principal Embedded ML Algorithm Engineer

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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Principal Embedded ML Algorithm Engineer

Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena – sound, light, radio waves, voltages, currents, and motion – into high fidelity data. Our mission is to build the Intelligent Edge where AI transforms the way we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.

Analog Devices has established the AI Solutions Business Unit to deliver AI-enabled products to the vast array of markets we serve. The AI Solutions BU develops products at multiple layers of the technology stack, from AI-enabled software application to deeply embedded AI algorithms. The AI Solutions BU collaborates with our Market BUs to solve problems beyond the reach of pure semiconductor, circuit-level, or architectural innovation. 

Build Embedded Algorithm Software for the Intelligent Edge.

You will be a member of a core technology team within the AI Solution Business Unit and will be instrumental in designing an implementing cutting edge technology that will transform the semiconductor industry.

During the first year, you will be part of a team responsible for achieving the following milestones.

• Work with Machine Learning Research Scientists to architect, implement, and maintain novel ML algorithms and data pipelines for edge products
• Design and implement frameworks and compilers to scale team’s ability to solve algorithmic challenges across Analog Devices
• Propose appropriate system and hardware architectures for edge platforms taking into consideration market specific design constraints like power, memory and timing to support data collection, training and inference
• Become a thought leader in developing a company-wide strategy around product quality embedded algorithm architecture, verification, education and deployment

Desired Skills and Experience:

• Strong in Embedded Software and computer architecture
• Strong C/C++ programming skills
• Strong background in digital signal processing (DSP) and algorithm implementation experience
• Solid problem-solving and trouble-shooting skills

• Solid understanding of signal chains, sampling theorem, noise, time domain to frequency domain conversion, windowing and filtering.
• Background in ML algorithms (CNN, DNN) and experience in their embedded implementation.
• Knowledge of neural network accelerators and efficient execution of neural network on accelerators

Bonus Points for:

• Solid understanding of ADC and DAC principles of operation
• Experience with Linux, FreeRTOS and/or other embedded OSs
• Experience in FPGA development including design, synthesis, simulation, verification and timing analysis.
• Experience using ARM development tools such as Keil, IAR, Eclipse, mBed, GCC.

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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.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days