Prin Electrical Engineer

ATR ID:

ATR224956

Job Title:

Prin Electrical Engineer

Job Level:

Electrical/Hardware Engineers

Duration:

24 months

Location:

Mounds View

MN 55112

Education:

A Bachelor degree in electrical engineering is required

Email:

Forrest, Preston

Phone:

980-270-6225 Pay rate: $70.00 - $100.00 (Hourly)

Benefits:

Benefits Full-time employees (working an average of 30 hours or more) are eligible to select from different benefits packages Packages may include medical, dental, and vision benefits, a 401(k) retirement savings plan with employer match (available after 1 year of employment), commuter benefits, employee discount and referral programs, and life and supplemental income insurance Paid sick leave is provided in accordance with applicable state and local laws. Compensation Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience, as well as the benefits package you select. Work Authorization ATR International, Inc cannot sponsor work visas (H-1B, F-1 STEM OPT with I-983, or similar) Candidates must have valid U.S work authorization. ATR International, Inc is an equal opportunity employer We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description:

Can you please confirm the 3 main responsibilities/day to day activities required for this role? Execute hardware test, characterization, and debug activities to support electrical design development, integration, and issue resolution. Develop and drive formal characterization and verification efforts, including test planning, execution, data analysis, and documentation. Implement and apply AI-enabled tools and workflows to accelerate engineering design, development, test, analysis, and documentation activities. Experience with AI in hardware development such as embedded intelligence, edge AI, or AI-enabled hardware systems is a strong plus. What products (if any) will this role support? Cardiac implantable devices such as implantable monitors, pacemakers, and/or implantable defibrillators Responsibilities may include the following and other duties may be assigned. Researches, develops, designs, integrates, and tests electrical components, equipment, systems, and networks for medical devices and related platforms Designs electrical hardware, assemblies, PCBAs, power architectures, sensing and acquisition circuits, embedded hardware, and system-level electrical interfaces for regulated products Applies strong systems engineering discipline across requirements development, architecture, design, risk management, integration, verification, validation, and design transfer Leverages AI-enabled engineering tools to improve engineering productivity, quality, and decision-making in areas such as requirements analysis, documentation generation, data analysis, test development, failure investigation, and workflow automation Uses practical experience with AI/ML concepts to support electrical and hardware development, including edge or embedded AI, real-time inference considerations, model optimization for constrained compute, and hardware/software co-design Creates and improves automated methods for engineering tasks related to functional expertise, including test automation, data reduction, reporting, and design process efficiency Partners cross-functionally with systems, software, mechanical, quality, manufacturing, regulatory, and supplier teams to deliver robust, compliant, and scalable solutions This is a contract position supporting the Electrical Systems Design Group.

SPECIALIST CAREER STREAM

Typically an individual contributor with responsibility in a professional discipline or specialty spanning electrical systems design, electrical hardware development, and AI-enabled engineering methods for medical devices Delivers and/or manages projects assigned and works with other stakeholders to achieve desired results May act as a mentor to colleagues or direct the work of lower-level professionals The majority of time is spent delivering and overseeing projects from design through implementation while adhering to policies, quality system requirements, and specialized knowledge and skills normally acquired through advanced education and relevant industry experience.

DIFFERENTIATING FACTORS

Autonomy:

Recognized technical specialist, managing medium to large projects or processes Exercises considerable latitude in determining deliverables, methods, tools, and technical approaches, with limited oversight from manager Makes sound engineering decisions across electrical architecture, hardware design, integration, verification, and use of AI tools for engineering workflows Coaches, reviews, and delegates work to lower-level specialists when appropriate.

Organizational Impact:

Contributes to defining the direction for new products, processes, technical standards, and operational plans based on business strategy, with significant impact on work group results Helps shape how AI-enabled tools and automation are adopted within the Electrical Systems Design Group to improve speed, consistency, traceability, and design quality May manage large projects or processes that span outside the immediate job area.

Innovation and Complexity:

Problems and issues faced are difficult, moderately complex, and often undefined, requiring detailed information gathering, analysis, and investigation Develops solutions to moderately complex problems and/or makes moderate to significant improvements to processes, systems, or products independently to enhance performance of the job area Applies engineering judgment to balance safety, reliability, performance, manufacturability, compliance, and schedule Evaluates and implements practical AI/ML approaches for engineering and hardware use cases, including workflow automation, analysis of large datasets, model-assisted engineering, and deployment considerations such as latency, local compute limits, quantization, distillation, model size, and real-time behavior.

Communication and Influence:

Represents the organization as a primary contact for specific projects and initiatives; communicates with internal and external customers, suppliers, and vendors at various levels Communicates complex electrical systems, hardware, and AI-related concepts clearly and effectively to technical and non-technical stakeholders May negotiate with others to reach understanding or agreement, and influence decision-making related to architecture, risk, verification strategy, supplier engagement, and engineering tool adoption.

Leadership and Talent Management:

Typically provides guidance, coaching, and training to other team members within the job area Typically leads major or moderately complex projects involving delegation of work and review of work products, at times acting as a technical team leader In a contract capacity, is expected to provide strong technical leadership, elevate team capability, and share best practices in electrical systems development, AI tool utilization, and engineering automation.

Requirement:

Must Have A Bachelor degree in electrical engineering is required One or more years' experience in medical device product development or equivalent is required Solid understanding of engineering fundamentals and proven hands-on electronic/mechanical skills. Can you please confirm your top 3 skills sets required?

Hardware Engineering:

Strong foundation in electrical hardware design, hardware characterization, bench testing, troubleshooting, and debug

AI Tool Development and Utilization:

Ability to develop, adapt, and apply AI-enabled tools to improve engineering design, development, analysis, and test workflows.

PCB Design and Circuit Modeling:

Experience with PCB design, schematic capture, circuit simulation, and modeling to support robust hardware development. Formal test planning, execution, and documentation in medical device or similarly regulated industry What is your target years of experience? 3+ years of relevant experience in electrical hardware engineering, including design, characterization, testing, debug, and integration 1+ years of experience applying automation, scripting, AI tools, or AI-enabled workflows to engineering development, analysis, or test activities is preferred.

Required Knowledge and Experience:

Requires mastery of a specialty area and full knowledge of industry practices, typically obtained through advanced education combined with experience Must have strong experience in electrical hardware and electrical systems development for medical devices, including system architecture, analog and digital design, power and signal integrity, embedded hardware, integration, bench testing, and root-cause analysis Must have practical experience using AI tools to improve engineering output and automating functionally relevant workflows through scripting, data analysis, test automation, requirements support, documentation generation, or similar applications Experience with AI/ML for hardware-related use cases is strongly preferred, including edge or embedded AI, real-time inference on constrained hardware, model optimization, quantization, distillation, hardware/software co-design, and evaluation of AI performance in production-like environments Working knowledge of design controls, risk management, verification and validation, and regulated product development is required; familiarity with standards and frameworks such as

IEC 60601, ISO

13485, and FDA-regulated development environments is preferred May have broad knowledge of project management Requires a University Degree and minimum 7 years of relevant experience, or an advanced degree with a minimum of 5 years of relevant experience. How to

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