Principal Audio/DSP Systems Engineer
Analog Devices · Boston, MA
About this role
Analog Devices is hiring a principal-level Systems Engineer in the operations function based in Boston, MA. The posting calls out experience with Python, C, TensorFlow, PyTorch. Compensation is listed at $200,000–$275,000 per year.
- Role
- Systems Engineer
- Function
- operations
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Boston, MA
- Posted
- May 16, 2026
More roles at Analog Devices
Job description
from Analog Devices careersAbout 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, 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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).
Principal Audio/DSP Systems Engineer
Responsibilities:
- Architect and optimize end-to-end deployment pipelines for compact audio AI models from trained model through quantization, profiling, and production deployment on DSP/NPU targets
- Define and drive DSP/NPU partitioning strategies, balancing workload allocation, memory bandwidth, latency, and power across processing elements on the SoC
- Own simulation-to-RTL validation flows: develop bit-exact reference models, collaborate with RTL teams on functional verification, and close gaps between algorithmic intent and hardware behavior
- Perform low-level implementation and optimization of signal processing and neural network kernels for fixed-point DSP and NPU instruction sets, maximizing utilization of MAC arrays, SIMD paths, and on-chip memory hierarchies
- Profile and optimize inference performance (cycles, memory footprint, power) under strict always-on and real-time constraints typical of hearable/wearable devices