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Remote Medical Imaging Software Engineer Jobs in Detroit, MI

Ford Motor Company

Software Engineer

Dearborn, MI · On-site +1

$138K - $178K/yr

Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new ... Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · On-site +1

$138K - $179K/yr

Senior Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ... Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new ...

Huntington

Software Development Engineer (Lead)

Detroit, MI · On-site +1

$70K - $140K/yr

Description Lead Software Development Engineer Job Profile Summary The Lead Software Development ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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All JobsMedical Imaging Software Engineer JobsRemote Medical Imaging Software Engineer JobsRemote Medical Imaging Software Engineer Jobs in Detroit, MI

Remote Medical Imaging Software Engineer information

See Detroit, MI salary details

$62.9K

$146K

$203.4K

How much do remote medical imaging software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote medical imaging software engineer in Detroit, MI is $146,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $171,300.00 per year, depending on experience, location, and employer.

What does a remote medical imaging software engineer do?

A Remote Medical Imaging Software Engineer designs, develops, and maintains software used to process and analyze medical images, such as X-rays, MRIs, and CT scans. Working remotely, they collaborate with healthcare professionals, researchers, and other engineers to create tools that assist in diagnosis, treatment planning, and research. Their tasks may include writing code, troubleshooting software issues, ensuring regulatory compliance, and integrating new imaging technologies. Strong knowledge of image processing algorithms, programming languages, and healthcare standards is essential for this role.

What are the key skills and qualifications needed to thrive as a remote medical imaging software engineer?

To thrive as a Remote Medical Imaging Software Engineer, you need a strong background in computer science, mathematics, and medical imaging concepts, often supported by a relevant degree and experience in software development. Expertise in programming languages (such as Python or C++), familiarity with image processing libraries (like ITK or OpenCV), and knowledge of regulatory standards (such as DICOM and HIPAA) are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills are vital for collaborating with remote teams and healthcare professionals. These skills and qualities ensure the development of accurate, secure, and user-friendly imaging solutions that support clinical workflows and patient care.

How do remote medical imaging software engineers typically collaborate with radiologists and other healthcare professionals to ensure software meets clinical needs?

Remote Medical Imaging Software Engineers often work closely with radiologists, clinicians, and medical technologists through virtual meetings, feedback sessions, and collaborative documentation platforms. They gather user requirements, discuss workflow pain points, and receive feedback on prototypes or released features to ensure the software aligns with actual clinical practices. Regular communication and agile development cycles help engineers rapidly address issues, incorporate user suggestions, and maintain compliance with healthcare regulations. This collaborative approach ensures the software supports accurate diagnosis and integrates smoothly into healthcare environments.

What is the difference between Remote Medical Imaging Software Engineer vs Remote Medical Device Software Engineer?

AspectRemote Medical Imaging Software EngineerRemote Medical Device Software Engineer
Required CredentialsBachelor's in Computer Science, Biomedical Engineering, or related; experience with imaging algorithmsBachelor's in Software Engineering, Biomedical Engineering, or related; experience with device firmware
Work EnvironmentHealthcare tech companies, hospitals, research institutionsMedical device manufacturers, healthcare providers, regulatory agencies
Industry UsageDevelops imaging software for diagnostics and analysisDevelops software for medical devices like pacemakers or infusion pumps
Common Search & ComparisonOften compared based on software development focus in imagingFocuses on device safety and compliance

The Remote Medical Imaging Software Engineer primarily develops imaging analysis and visualization software used in diagnostics, while the Remote Medical Device Software Engineer focuses on software for medical devices ensuring safety and compliance. Both roles require technical expertise but differ in their application and industry focus.

What are the most commonly searched types of Medical Imaging Software Engineer jobs in Detroit, MI?

The most popular types of Medical Imaging Software Engineer jobs in Detroit, MI are:

What are popular job titles related to Remote Medical Imaging Software Engineer jobs in Detroit, MI?

For Remote Medical Imaging Software Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Medical Imaging Software Engineer jobs in Detroit, MI look for?

The top searched job categories for Remote Medical Imaging Software Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Medical Imaging Software Engineer jobs?

Cities near Detroit, MI with the most Remote Medical Imaging Software Engineer job openings:

Remote Medical Imaging Software Engineer jobs near you

Principal Software Engineer, Power Applications

Utilidata

Ann Arbor, MI • Remote

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The Power Applications team takes power control and orchestration algorithms from idea to production. We own the complete end-to-end process: developing power control and orchestration algorithms, translating them into deployable applications, and owning the deployment and maintenance of those applications in the field. As the Technical Lead, Power Applications, you will coordinate data scientists and software engineers to produce these applications, define repeatable and scalable workflows that let the team deliver efficiently, and act as the technical interface to other teams on the stack.
This is a leadership role. While you will still spend meaningful time in the codebase, a large part of the work is communication, coordination, and project management. Your leverage comes from the designs you set, the standards you hold, the engineers you develop, and your ability to keep cross-functional work moving.
Success in this role is measured by driving continuous delivery, building for scale and resilience, and navigating the demands of a rapidly growing company. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements.
Responsibilities
  • Enable the Power Applications team to own the end-to-end lifecycle of Utilidata's power control and orchestration applications, from algorithm development, through translation into deployable software, to deployment and ongoing maintenance in production
  • Directly contribute to the Power Applications codebase and work with the team to define and own code quality standards and engineering workflows
  • Serve as the senior individual contributor coordinating data scientists and software engineers, aligning the group on design and quality through architecture and code review
  • Design continuous delivery workflows that bridge algorithm development and production, including the path from prototype code (e.g., Python) to the deployed application's language (e.g., Rust), so work moves to production smoothly and repeatably
  • Act as the technical interface between Power Applications and other teams on the stack, establishing clear system boundaries, data contracts, and power application SLAs
  • Contribute to system architecture discussions for the Karman platform as a whole, ensuring the subsystems that support power-flow control fit coherently into that wider architecture
  • Build for reliability and scale so power applications run continuously across experimentation, staging, and deployed environments.
Minimum Qualifications 
  • 10+ years of software engineering experience, including a track record of technical leadership on complex production systems
  • Demonstrated ability to lead engineers through architecture, code review, and mentorship, and to raise the technical bar of a team
  • Excellent written and verbal communication skills, with substantial experience working directly with stakeholders across teams
  • Strong project management and technical planning skills — sequencing work, managing cross-team dependencies, translating product requirements into technical designs
  • Strong foundation in distributed systems and reliability engineering: fault tolerance, graceful degradation, observability, and testing for systems that cannot go down
  • Experience taking software from prototype to hardened production, ideally where the platform and requirements were still evolving
  • Proficiency in Python and at least one systems language (C++, Rust, or Go)
  • Willingness to travel up to 10% of time
Enhanced Qualifications (Nice to Have) 
  • Hands-on experience with real-time, low-latency, or control systems : software that must respond within strict time bounds and behave predictably under load
  • Experience with edge or embedded computing, especially on NVIDIA platforms (Jetson-class devices, CUDA, or NVML)
  • Background in power systems, energy, industrial control, robotics, or another physical-world real-time domain)
  • Experience productionizing ML models or algorithms in collaboration with data science teams
Salary Range: $180,000 to $220,000 base compensation depending on experience and level, plus stock options. This role spans multiple job levels; final level and compensation will be determined based on the candidate's experience.
Location: This position can be performed remotely from anywhere in the United States. 
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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