Analog Devices

semiconductor

StaffInsightsApplicationsEngineer

$0–0k Dublin, Ireland FULL TIME
The Brief

“Staff Insights Applications Engineer at Analog Devices. Skills: Hardware, Software, Algorithms, Data. Deploy hardware platforms. Support hardware platforms”

What You'll Achieve.

Make direct impact; Turn customer requirements into actionable engineering outcomes; Turn field observations into actionable engineering outcomes; Improve solution performance; Provide technical leadership; Provide technical execution

Industry & Context.

semiconductor
Problems you'll solve

Solve hardest problems; Solve complex cross-stack challenges

Eligibility Requirements

Occasional travel to customer sites, Occasional travel to ADI locations, Occasional travel to partner facilities, 20% travel, 25% of the time travel

What They're Looking For.

Must Have

Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field, 6 + years of relevant industry experience, Demonstrated experience spanning hardware, software, and algorithm development, hands-on experience with field deployment, experimentation, or applied engineering in real-world environments, Solid foundation in signal processing, machine learning, and algorithms, Experience building, deploying, and debugging data acquisition and processing pipelines, Experience with embedded systems, sensing platforms, or small-scale hardware deployments, Proficiency in Python, C/C ++, or similar languages, Experience in an Applications Engineer, customer-facing engineering, or technical customer experience role, Excellent communication and collaboration skills, Ability to operate independently in ambiguous environments, Ability to provide technical leadership and execution

Nice to Have

Experience with electrical grids, power systems

What You'll Do.

Deploy hardware platforms

Support hardware platforms

Configure data pipelines

Validate data pipelines

Deploy insight modules

Troubleshoot insight modules

Deploy algorithmic solutions

Test algorithmic solutions

Troubleshoot algorithmic solutions

Improve solution performance

Define technical next steps

Translate customer requirements

Translate deployment feedback

Translate field observations

Resolve cross-stack issues

Support production deployments

How You'll Work.

Team & Collaboration

Partner closely with machine learning teams; Partner closely with software engineering teams; Partner closely with systems engineering teams; Work effectively across disciplines

Communication Scope

Excellent communication skills; Technical execution; Communication

Free ATS check

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