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Signal Integrity Engineer Remote Jobs in Michigan

Gentex

Software Engineering Project Manager

Zeeland, MI · On-site +1

This role is not eligible for remote work. WHAT YOU'LL DO * Lead 1-2 Gentex Engineering disciplines ... Maintaining high level of honesty, integrity, and confidentiality with respect to company matters.

Kiongroup

Controls Engineering Manager

Grand Rapids, MI · On-site +1

$121K - $182K/yr

Foster a culture of integrity, open communication, and collaboration within the team. * Set clear ... Ability to work independently and lead effectively with minimal supervision in remote, office, and ...

Kiongroup

Controls Engineering Manager

Grand Rapids, MI · On-site +1

$121K - $182K/yr

Foster a culture of integrity, open communication, and collaboration within the team. * Set clear ... Ability to work independently and lead effectively with minimal supervision in remote, office, and ...

Sbdinc

Account Manager, Engineered Products

Troy, MI · Remote

People with a sense of purpose and integrity. People with a relentless pursuit of excellence ... Join us! #LI-Remote #LI-LG1 We Don't Just Build The World, We Build Innovative Technology Too.

Kobie Marketing

Director, Product

Detroit, MI · Remote

$230K - $241K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Becton, Dickinson and Company

Responsible for the integrity of the programming/computing solutions for all assigned projects ... Remote or field-based positions will have different workplace arrangements which will be indicated ...

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Signal Integrity Engineer Remote information

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data science, or certain engineering management roles can earn $500,000 or more annually, especially with bonuses, stock options, or in high-demand industries. Achieving this level typically requires advanced skills, extensive experience, and often leadership responsibilities or working in high-paying sectors like technology or finance.

What are some common challenges Signal Integrity Engineers face when working remotely, and how can they be addressed?

Signal Integrity Engineers working remotely often face challenges such as coordinating with cross-functional teams across different locations, accessing specialized lab equipment, and troubleshooting complex hardware issues without in-person collaboration. To address these, engineers typically rely on advanced simulation tools, regular virtual meetings, and detailed documentation to ensure clear communication. Establishing strong lines of communication with on-site team members and leveraging remote access to lab setups can also help mitigate these challenges and maintain productivity.

How much do signal integrity engineers make?

Signal integrity engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in high-speed digital design or RF may have higher salaries, especially with certifications or advanced degrees. Remote positions often offer competitive compensation aligned with industry standards.

What are the key skills and qualifications needed to thrive as a Signal Integrity Engineer (Remote), and why are they important?

To thrive as a Signal Integrity Engineer working remotely, you need a solid background in electrical engineering, expertise in signal and power integrity analysis, and experience with high-speed digital design, usually supported by a relevant degree. Familiarity with technical tools such as simulation software (e.g., Ansys HFSS, Cadence Sigrity), PCB layout tools, and measurement equipment is essential. Strong problem-solving abilities, clear communication, and self-motivation are standout soft skills for remote collaboration and troubleshooting. These competencies ensure accurate analysis, effective remote teamwork, and the reliable performance of electronic systems.

How much does Apple signal integrity engineer make?

Signal Integrity Engineers at Apple typically earn between $100,000 and $160,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in high-speed circuit design and simulation tools may earn higher salaries, often supplemented with bonuses and stock options.

How can I make $100,000 a year working from home?

A Signal Integrity Engineer working remotely can reach a $100,000 annual salary by gaining specialized skills in high-speed digital and RF design, obtaining relevant certifications, and accumulating several years of experience. Many companies offer remote roles with competitive pay for engineers with expertise in signal integrity analysis, simulation tools, and industry standards, often requiring a bachelor's or master's degree in electrical engineering. Building a strong professional network and continuously updating technical skills can also help achieve higher compensation levels.

What is a Signal Integrity Engineer?

A Signal Integrity Engineer is a professional who specializes in ensuring the quality and reliability of electrical signals in high-speed digital circuits and systems. They analyze and address issues such as noise, interference, crosstalk, and electromagnetic compatibility to prevent signal degradation. Their work often involves modeling, simulation, testing, and troubleshooting to optimize the performance of printed circuit boards (PCBs) and interconnects. Signal Integrity Engineers play a crucial role in industries like telecommunications, consumer electronics, and automotive systems, especially as data rates and system complexity increase.
What are the most commonly searched types of Signal Integrity Engineer jobs in Michigan? The most popular types of Signal Integrity Engineer jobs in Michigan are:
What are popular job titles related to Signal Integrity Engineer Remote jobs in Michigan? For Signal Integrity Engineer Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Signal Integrity Engineer Remote jobs in Michigan look for? The top searched job categories for Signal Integrity Engineer Remote jobs in Michigan are:
Signal Integrity Engineer Remote jobs near you
Infographic showing various Signal Integrity Engineer Remote job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Detroit, MI • On-site, Remote

$152K - $158K/yr

Full-time

Re-posted 17 hours ago

Job description

Senior Product Manager, Life Sciences Data Products (Applied AI)

Location: U.S. (Remote-first) with optional hub-based hybrid
Employment: Full-time
Level: Senior IC (high ownership)
Start: ASAP / Flexible

Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use.

The Role

As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows.

This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities.

What You’ll Own

  • Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes.

  • Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services.

  • Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness.

  • AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling).

  • Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes.

  • Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects.

  • Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices.

What We’re Looking For

Required

  • 5+ years building data products or platforms for life sciences and/or healthcare customers.

  • Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership.

  • Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code).

  • Track record partnering with engineering and data teams to deliver complex, high-impact product work.

  • Excellent communication—credible with technical teams and clear with non-technical stakeholders.

  • Comfort operating in a fast-moving environment with evolving inputs and limited process.

Nice to have

  • 0→1 product experience or taking early products to scale in a regulated domain.

  • UX/product design sensibility with strong intuition for end-user workflows.

  • Prior experience in analytics, data science, or experimentation.

  • Familiarity with privacy, governance, and quality frameworks for sensitive datasets.

Why This Role

  • Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI

  • Meaningful influence over what becomes productized vs. service-heavy

  • Close collaboration with technical leadership and high visibility across the company

Compensation

Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)