Staff Systems Engineer – Analog Garage

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, 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).

The Analog Garage is Analog Devices’ internal innovation lab, empowering ADI by creating breakthrough technologies. Bringing together engineers, research scientists, and business leaders, we develop new technologies and solutions in a fast-moving, experiment-focused startup atmosphere. The Garage works across domains including energy, industrial systems, life sciences, healthcare, and intelligent edge applications, translating emerging technology into impactful system-level prototypes and early products.

We are seeking an experienced Systems Engineer with a background in defining, designing, and integrating complex, multidisciplinary systems that interact with the physical world. Experience in domains such as industrial automation, control systems, energy systems, robotics, medical devices, or scientific instrumentation is highly relevant. Most important is the ability to apply system-level thinking to ambiguous problems, design informative experiments, and guide teams toward sound decisions about what to build next as constraints and understanding evolve.

This role is ideal for an engineer who thrives in ambiguity, enjoys building first‑of‑a‑kind systems, and wants to shape technologies that may define ADI’s future businesses.

• Serve as systems engineering lead for one or more Analog Garage programs from early concept through prototype and minimum viable product (MVP).
• Facilitate system-level thinking to help teams converge on what to build next—and what not to build—to maximize learning and progress.
• Make assumptions, constraints, tradeoffs, and uncertainties explicit to enable sound technical decision-making.
• Partner closely with the project manager, program champion, and business discovery lead to align system decisions with program goals and learning milestones.
• Contribute to a strong systems engineering culture by mentoring and sharing best practices.

System Definition & Experimentation

• Clarify ambiguous operational concepts, users, stakeholders, and system context to frame meaningful system requirements and experiments.
• Shape end-to-end architectures spanning sensors, signal chains, embedded, software, and algorithms that enable incremental build–measure–learn cycles.
• Drive development of use cases and functional requirements in service of hypothesis testing and learning.
• Decompose systems into subsystems and define clear interfaces and trade-offs, including build versus buy decisions.

• Continuously revise system artifacts in response to new learning and changing assumptions.

Execution & Integration

• Hands-on with system prototyping and integration, working closely across disciplines.
• Work with program teams to align on integration milestones, manage dependencies, and guide the system through staged integration, and identify resource needs and constraints.
• Evaluate technologies, engage vendors, startups and academic partners as needed.
• Ensure alignment across hardware and software teams through clear system interfaces, shared assumptions, and coordinated integration.

Required Experience

• 6–10+ years of industry experience with increasing system-level responsibility.
• Demonstrated experience designing and integrating multi‑disciplinary systems, with depth in at least one technical domain (e.g., electronics, embedded systems, signal processing, robotics, sensing, or software systems).
• Comfort working across hardware and software boundaries, including early‑stage prototypes.
• Quick to adopt new technologies with good problem-solving skills.
• Proven experience structuring ambiguity into executable system concepts.
• Excellent communication and collaboration skills; able to influence without authority in cross‑functional teams.
• Bonus points for simulation, modeling or signal chain analysis experience.
• Master’s degree, or equivalent experience, in Electrical Engineering, Computer Engineering, Computer Science, or related field.

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 pay equity, 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.