Embedded Device Software
Building firmware and embedded control software with deterministic behavior, defined failure states, and the resource constraints device hardware imposes.
Custom Software
Hire Medical Device Software Engineers
Medical device software engineers build software that is part of a device or is itself a device. They work under documented lifecycle processes with requirements traceability, risk controls, and verification evidence, and they handle the embedded, connectivity, and safety engineering that software controlling or interpreting device function requires.
This differs from healthcare software generally in that failures are safety events and the development process is itself regulated. Engineers who have not worked under a quality system write competent code and inadequate records. Both are required, and the second cannot be added afterward. Our hire dedicated developers hub covers adjacent roles.
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What Medical Device Software Engineers Build
Work spans software inside devices, software controlling them, and software that is a device on its own. The work below reflects that range, with verification practices described in our quality assurance approach.
Device Control and Configuration Applications
Building software that configures or operates devices, where an ambiguous interface or unclear alarm delays clinical response.
Measurement and Calculation Software
Implementing calculations clinicians act on, verified against defined test vectors with documented handling of units, rounding, and boundaries.
Device Connectivity and Data Handling
Managing communication between devices and clinical systems, following approaches in our healthcare integration services.
Alarm and Safety Logic
Implementing alarm generation, prioritization, and escalation, where behavior affects whether a clinician responds to what matters.
Verification Evidence and Traceability
Producing requirements traceability and verification records during development, since reconstructing them afterward is expensive and less credible.
Regulatory and Clinical Context This Role Requires
Device software development is governed by lifecycle standards and produces evidence a regulator may examine. Engineers need working understanding of that without mistaking it for regulatory expertise. The context below spans the healthcare work you assign.
IEC 62304 Applies to Device Software Lifecycle
The standard governs medical device software lifecycle processes where applicable. It does not apply to every healthcare system, and scope should be established rather than assumed.
Software Safety Classification Drives Rigor
The level of process rigor follows from what harm software failure could cause. Classification affects documentation and verification depth substantially.
Risk Controls Must Be Traceable
Software implementing a risk control must link to the hazard it addresses, or the control gets removed during refactoring by someone unaware of its purpose.
Verification Evidence Is a Deliverable
Test records are regulatory artifacts rather than internal quality practice. They must be produced under controlled processes as work proceeds.
Change to Released Software Requires Assessment
Post-release changes require evaluation and approval. Same-day fixes may need documentation before deployment, which shapes sprint planning.
Cybersecurity Is Now a Safety Concern
Connected device security expectations sit alongside safety requirements rather than beneath them, including software bill of materials and vulnerability handling.
Technical Skills This Work Requires
The differentiating skills are lifecycle discipline and defensive engineering rather than general embedded or application development. The competencies below reflect that, informed by practices in our HIPAA engineering guidance where device software handles patient data.
Embedded and Constrained Environment Development
Building within memory, timing, and power constraints with deterministic behavior, where general application patterns do not transfer.
Defensive and Deterministic Programming
Writing explicit error paths and safe defaults, since device software must behave predictably under partial failure rather than relying on exception handling.
Requirements Traceability Practice
Linking requirements to design, implementation, and verification, maintained during development rather than assembled before a submission.
Verification Test Development
Building automated and manual tests that map to requirements and serve as regulatory evidence rather than only as internal quality assurance.
Device Communication Protocol Work
Implementing serial, BLE, and vendor protocols with reconnection, buffering, and timestamp accuracy across firmware variation within product lines.
Configuration Management and Reproducible Builds
Maintaining controlled dependencies and tagged builds, since released versions must be reconstructable years later for investigation.
How We Evaluate Medical Device Software Engineers
The distinguishing question is what they found difficult about working under a quality system. Engineers describing it as straightforward either have not experienced it or did not follow it. Our assessment centers on lifecycle discipline. Our delivery process includes review points where you can reassess fit.
Quality System Experience
We ask which controlled processes they worked within and what proved difficult. Specific complaints about real process indicate genuine exposure.
Risk Control Traceability
We ask about a control they implemented and the hazard it addressed. Engineers unaware of the link remove controls during refactoring.
Verification Evidence Practice
We ask how test records were produced. Engineers generating them before submission rather than during development produced weaker artifacts.
Failure Mode Reasoning
We ask what their software did under partial failure. Engineers relying on exception handling rather than explicit paths produced unpredictable behavior.
Change Control Adaptation
We ask how released software changes were handled. Engineers accustomed to continuous deployment may find controlled change obstructive rather than expected.
Verified Device Experience
We describe which device software each engineer built and their role. We do not claim regulatory or quality credentials for engineers.
Engagement Options for Device Software Work
Engagements should follow your regulatory strategy and quality system, since both determine what evidence is required. Structures below reflect that, and our engagement models accommodate project or ongoing arrangements.
Classification and Scope Confirmation First
Working from your regulatory advisors’ classification and safety class determination, since process rigor and evidence requirements follow from those.
A Single Engineer Within Your Quality System
Suits organizations with established processes needing development capacity that works within existing controls and documentation practice.
Engineer With Independent Verification
Pairing implementation with separate verification produces cleaner evidence than one engineer writing both the code and its approving tests.
Augmenting Your Device Software Team
Where you own the quality system, staff augmentation adds capacity within your existing procedures and documentation standards.
Full Team for Device Software Programs
A dedicated healthcare development team covering development, verification, and documentation suits programs building device software under sustained requirements.
Fixed-Scope Component With Evidence
Where a component and its verification obligations are defined, a fixed-scope build delivers it with the documentation package.
Tell Us Your Classification and Quality System
Share your device classification, software safety class, and quality system status. Those determine process rigor more than functional scope does.
Safety, Clinical Authority, and Boundaries
Device software affects patient safety and operates under regulatory obligation. Where intended use may create diagnostic or treatment claims, SaMD classification is assessed during discovery with your regulatory advisors. Taction holds no FDA clearance for your product and guarantees no regulatory outcome.
01
Clinicians Retain Clinical Decisions
Software presents information and controls devices under clinical direction. It does not independently diagnose, prescribe, or determine treatment.
02
Risk Controls Traced to Hazards
Software implementing safety controls links to the hazard analysis, so the control’s purpose is documented for whoever maintains the code later.
03
Verification Evidence Produced Contemporaneously
Test records are generated as development proceeds rather than assembled before submission, since reconstructed evidence invites reviewer scrutiny.
04
Alarm Behavior Designed for Response
Alarms are designed for clinician response rather than for completeness, since an alert stream that gets silenced provides no safety benefit.
05
Sensitive Device Data Handling
Devices handling behavioral health context require additional restriction. We built CHIPSS, a behavioral health system, where such controls were foundational.
06
Software We Would Not Build
We would not build device software that acts on clinical determinations autonomously, omits risk control traceability, or ships without verification evidence.
Cost to Hire Engineers and Build Device Software
Cost exceeds equivalent unregulated development, and the difference is documentation, verification, and change control rather than features. Testing, validation, and regulatory work are separate. We publish no figures on submission outcomes or timelines.
- 01
MVP or Single Module
$40,000 to $80,000
One bounded component under lifecycle process with requirements, traceability, verification evidence, and documentation for inclusion in a submission.
- 02
Full Platform Build
$80,000 to $200,000
Multi-component device software with embedded and application layers, connectivity, risk control implementation, verification, and change management.
- 03
Enterprise Deployment
Starting at $200,000
Multi-device or multi-site deployment with quality system documentation, extended validation support, and lifecycle management across product lines.
- 04
Discovery Phase Scoping
Discovery is paid and time-boxed. It produces a technical assessment against your classification, evidence gap findings, and an itemized fixed-scope estimate.
- 05
Cost Drivers to Expect
Software safety classification, verification depth, embedded constraints, device connectivity variation, risk control scope, and quality system maturity.
- 06
Ongoing Support Costs
Released device software carries continuing obligations: change assessment, vulnerability management, periodic reverification, and post-market feedback handling.
Third-party licensing, cloud infrastructure, data subscriptions, and hardware are separate from engineering cost and itemised clearly.
Clinical validation, regulatory consulting, and submission preparation are entirely separate from our scope and cost.
Why Build Device Software With Taction
Two questions matter. Whether the vendor has built software under regulatory registration, and whether evidence is produced during development. Taction Software has built healthcare software since 2013, more than twelve years, with over 200 healthcare projects delivered and ISO 27001 certification. Leadership brings more than twenty years of personal experience in the field, which is separate from company age.
FDA-Registered Applications We Built
We built Revive Ease and PainKare, both FDA-registered applications. That is direct delivery under regulatory registration rather than adjacent experience.
Clinical Platform Depth
We built Voyant Health, an EHR platform. Understanding the clinical systems device software connects to shapes interface design and verification scope.
ISO 27001 Certified Information Security
Taction Software holds ISO 27001 certification covering our information security management, described under our certifications and compliance information.
Evidence Produced During Development
Traceability and verification records are generated as work proceeds, which is the difference between a defensible package and a reconstructed one.
We Will Say the Classification Is Lower
Where a narrower intended use reduces safety classification, we raise it with your advisors. That reduces process rigor and project cost considerably.
We Will Not Skip Verification for Schedule
Where a date pressures verification, we say the date must move rather than shipping device software with incomplete evidence.
FAQs
Frequently Asked Questions
We work from your regulatory advisors’ classification and safety class determination, assess your quality system, then present engineers with device experience.
One component runs $40,000 to $80,000, multi-component device software $80,000 to $200,000, and multi-device programs start at $200,000. Validation and regulatory work are separate.
Our delivery history includes the Voyant Health EHR platform, the CHIPSS behavioral health system, and the FDA-registered applications Revive Ease and PainKare, within more than 200 healthcare projects delivered since 2013.
Only if it qualifies as medical device software. Many healthcare systems do not, and applying device lifecycle process unnecessarily adds cost without benefit.
No. We produce engineering evidence your regulatory consultants and counsel incorporate. Submission preparation and agency interaction sit outside our scope.
That page covers regulated healthcare software broadly. This page addresses software that is part of a device or is a device, where embedded and safety engineering apply.
Share your device classification, software safety class, quality system status, verification expectations, and the engagement model you have in mind. We will produce evidence during development and say plainly if a timeline does not allow adequate verification. We do not provide regulatory consulting.