Computational Sensing Research Engineer

Job Title

Computational Sensing Research Engineer

Role Summary

Join the Analog Garage Deep Tech Architecture group in Boston to develop intelligent sensing platforms that combine mixed-signal design, image-sensor readout, signal processing, and machine learning for application-driven sensing systems. The role focuses on architecting and prototyping sensor signal chains, driving design iterations, and integrating analog/digital/algorithm components to reduce data rate and latency while preserving required application information.

Experience Level

Senior / Experienced research role (experienced researcher; PhD-level preferred — see Education Requirements).

Responsibilities

Typical duties include research, architecture, prototyping, and cross-disciplinary collaboration to advance sensor platforms and signal-chain solutions.

• Architect optimized sensor signal chains to reduce data rate and latency while preserving application-specific information.
• Develop simulations and build prototypes to assess and validate advanced sensing concepts; analyze data to drive optimization and design iterations.
• Design readout integrated circuits for image sensors, ADC architectures, and circuitry for near-pixel processing.
• Contribute to IP generation and planning for advanced sensor platforms.
• Collaborate with sensor system architects, digital designers, algorithm researchers, software developers, and research scientists on domain-specific experiments.
• Document work rigorously and generate technical reports on concepts, approaches, and outcomes.
• Monitor advancements in mixed-signal design, image sensors, sensor signal processing, and machine-learning approaches for sensor data.

Requirements

Must-have technical skills, hands-on experience, and professional attributes for successful performance.

• Proven experience in sensor signal-chain design and mixed-signal circuit design, including noise analysis and mitigation.
• Experience with FPGAs and implementing signal-processing/ML approaches in resource-constrained hardware.
• Experience with CMOS image-sensor technology, including readout circuitry, calibration, and characterization.
• Deep background in signal and image processing, and practical experience applying modern machine-learning approaches to sensor data processing.
• Strong publication record in peer-reviewed journals and conferences demonstrating research impact.
• Excellent problem-solving skills, creativity, persistence, and ability to work independently and collaboratively in an interdisciplinary research environment.
• Strong verbal and written communication skills; able to present complex information clearly to diverse audiences.
• Willingness to travel approximately 10% of the time.

Education Requirements

PhD (preferred) or an experienced M.S. in Electrical Engineering with a focus on mixed-signal circuits; alternatively, a PhD in Computer Engineering or Physics with strong mixed-signal design 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.