Analog Devices · 2 months ago
Senior Engineer, AI/ML Software
US, MA, Wilmington
Full-time
Onsite
Mid, Senior Level
$109K/yr - $150K/yrAnalog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. The Senior MLOps Engineer will be responsible for designing and optimizing ML/AI operational capabilities and leading the development of major ML/AI operational features that span various aspects of the ML/AI developer experience.
DSPElectronicsLightingSemiconductor
Responsibilities
Foster and contribute to a culture of operational excellence: high-performance, mission-focused, interdisciplinary collaboration, trust, and shared growth
Drive proactive capability and process enhancements to ensure enduring value creation, analytic compounding interest, and operational maturity of the ML/AI platform
Design and implement resilient cloud-based ML/AI operational capabilities that advance our system attributes: learnability, flexibility, extensibility, interoperability, and scalability
Lead efforts for precision and systemic cost efficiency, optimized system performance, and risk mitigation — with data-driven strategy, comprehensive analytics, and predictive capabilities at both “tree” (component) and “forest” (system) levels of our ML/AI workload and processes
Architect and implement scalable AWS ML/AI cloud infrastructure to support end-to-end lifecycle of models, agents, and services
Establish governance frameworks for ML/AI infrastructure management (e.g., provisioning, monitoring, drift detection, lifecycle management) and ensure compliance with industry-standard processes
Define and ensure principled validation pathways (testing, QA, evaluation) for early-stage GenAI/LLM/Agent-based proofs-of-concept, across the organization
Lead and provide guidance on Kubernetes (k8s) cluster management for ML workflows, including choosing/implementing workflow orchestration solutions (e.g., Argo vs Kubeflow) and data-pipeline creation, management, and governance using tools such as Airflow
Design and develop infrastructure-as-code (IaC) in AWS CDK (in Python) and/or Terraform along with GitOps to automate infrastructure deployment and management
Monitor, analyze and optimize cloud infrastructure and ML/AI model workloads for scalability, cost-efficiency, reliability, and performance
Collaborate with engineering, product, science, design, security and operations teams to translate business requirements into scalable ML/AI solutions, and ensure smooth integration into production systems
Qualification
Required
Deep understanding of the Data Science Lifecycle (DSLC) and proven ability to shepherd data science or ML/AI projects from inception through production within a platform architecture
Expertise in feature stores, model registries, model governance and compliance frameworks specific to ML/AI (e.g. explainability, audit trails)
Experience with monitoring tools for ML/AI (latency/throughput SLAs, model drift, resource usage dashboards)
Expert in infrastructure-as-code and GitOps practices, with demonstrable skills in Terraform, AWS CDK (Python), Argo CD and/or other IaC and CI/CD systems
Hands-on experience managing Kubernetes clusters (for ML workloads) and designing/implementing ML workflow orchestration solutions and data pipelines (e.g., Argo, Kubeflow, Airflow)
Solid understanding of foundation models (LLMs) and their applications in enterprise ML/AI solutions
Strong background in AWS DevOps practices and cloud architecture — e.g., AWS services such as Bedrock, SageMaker, EC2, S3, RDS, Lambda, managed MLFlow, etc. Hands-on design and implementation of microservices architectures, APIs, and database management (SQL/NoSQL)
Proven track record of monitoring and optimizing cloud/ML infrastructure for scalability and cost-efficiency
Excellent verbal and written communication skills — able to report findings, document designs, articulate trade-offs and influence cross-functional stakeholders
Demonstrated ability to manage large-scale, complex projects across an organization, and lead development of major features with broad impact
Customer-obsessed mindset and a passion for building products that solve real-world problems, combined with high organization, diligence, and ability to juggle multiple initiatives and deadlines
Collaborative mindset: ability to foster positive team culture where creativity and innovation thrive
Preferred
Experience with Ray for end-to-end workflows to scale data processing, modeling (training, tuning, serving); and experience with scaling RL is a nice-to-have too!
Benefits
Medical, vision and dental coverage
401k
Paid vacation
Holidays
Sick time
Discretionary performance-based bonus
Company
Analog Devices
Analog Devices (NYSE: ADI) defines innovation and excellence in signal processing. ADI's analog, mixed-signal, and digital signal
Founded in 1965
10001+ employees
H1B Sponsorship
Analog Devices has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (307)
2024 (145)
2023 (180)
2022 (148)
2021 (139)
2020 (166)
Funding
Current Stage
Public CompanyTotal Funding
$4.6MKey Investors
U.S. Department of Defense
2025-04-11Post Ipo Debt
2024-09-18Grant· $4.6M
2012-04-02IPO
Leadership Team
Vincent Roche
Chief Executive Officer and Chair of the Board of Directors
John Hassett
SVP Industrial & Consumer Group
Recent News
2026-01-06
2025-12-22
2025-12-15
Company data provided by crunchbase