Senior Engineer, AI/ML Software

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.

Duties

Design, develop and maintain scalable and efficient Artificial Intelligence/Machine Learning ("AI/ML") systems that solve complex problems. Collaborate with cross-functional teams, including product managers, UX designers, and software engineers to gather requirements and design appropriate solutions. Lead the development of end-to-end AI/ML pipelines, including data preprocessing, model training, prompt engineering, and performance evaluation. Participate in code reviews, architecture discussions, and technical planning. Optimize AI/ML model performance and ensure robustness, fairness, and explainability. Monitor AI/ML system performance, troubleshoot issues, and provide timely resolutions. Implement data security and privacy measures to protect sensitive information. Continuously evaluate and recommend improvements to our data infrastructure, tools, and processes. Stay up to date with emerging trends and technologies in the fields of AI and ML. Mentor junior engineers and contribute to best practices in AI/ML development.

In this role, these duties are performed in support of the team's AI/ML systems for tactile sensing and robot learning: developing end-to-end AI/ML pipelines over large multimodal datasets, including video, tactile, and time-series sensor data; training, evaluating, and optimizing models, including distributed multi-node training with checkpointing and fault recovery; optimizing and deploying trained models to their target compute environments, including GPU-accelerated and embedded runtimes; monitoring deployed model and system performance and resolving issues; and mentoring engineers on AI/ML development practices.

Engineering foundations

- 5+ years production infrastructure; strong Python plus one systems language (Go/Rust/C++)

- Expert Linux, networking, and debugging across the full stack

- Infrastructure-as-code (Terraform/Bicep) and containers, including GPU-enabled runtimes

Cloud & orchestration

- Production cloud experience (Azure preferred): IAM, storage, managed compute, cost control

- Kubernetes with GPU workloads: scheduling, autoscaling, quotas

MLOps

- Distributed training infrastructure: multi-node GPU, checkpointing, fault recovery

- Experiment tracking, model registry, dataset/artifact versioning

- ML CI/CD with automated evaluation gates and rollback

- Data pipelines for large multimodal datasets (video, tactile, time series)

- Observability: GPU utilization, drift, data quality

Edge deployment

- Model optimization for constrained targets: quantization, ONNX, TensorRT

- Deployment to embedded hardware (Jetson or similar) with OTA updates and rollback

- Awareness of latency constraints in closed-loop control

Collaboration

- Proven record turning research prototypes into supported production systems

- Mentoring engineers and driving practice adoption across a team

- Clear design docs and runbooks

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.

EEO is the Law: Notice of Applicant Rights Under the Law.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal payequity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.