Staff Embedded Software Engineer at Iterative Health

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AIIndustries

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience)
7+ years experience leading complex software systems from start to finish and across multiple release cycles, including conceptualization, deployment, integration, monitoring, and upgrades
Proven experience in full stack software engineering and AI model deployment
Deep expertise in Linux, and hardware/software co-design
Proficiency in Python and Modern C++ for system-level programming and hardware API integration
Experience with computer vision tools (OpenCV, PyTorch) and edge AI deployment (TensorRT, DeepStream)
Hands-on experience building automated testing infrastructures for complex, distributed systems
Experience participating in root cause analysis and effective investigation practices
Preferred Qualifications
M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
Experience with cloud, IoT and secure edge deployment
Advanced understanding of DevOps practices and technologies (Docker, Kubernetes, CI/CD, release management)
Experience in medical device, health tech industry with SDLC, Software as Medical Device (SaMD), ISO14971 and ISO 62304
Experience working in a startup environment

Responsibilities

Develop and optimize software that interfaces with CV hardware like GPUs and video capture cards, enabling high-performance data processing
Deploy and optimize AI models and computer vision pipelines (OpenCV, PyTorch, TensorFlow, ONNX Runtime) on edge devices and IoT endpoints
Architect and implement secure, robust IoT systems, ensuring reliable communication and data flow between distributed devices and central platforms
Implement security best practices for device firmware, network communication, and data storage, ensuring compliance with industry standards and protecting IoT ecosystems
Design and maintain testing frameworks to automate unit, module and system level tests to ensure quality and reliability of software
Work with hardware, ML, DevOps, QA, RA, and product teams to deliver integrated, high-performance solutions. Ensure SW development complies with regulatory requirements
Proactively manage and resolve issues by engaging the appropriate internal teams when needed to help resolve issues with the device or external stakeholders
Research current technology trends and make recommendations for the overall technical direction of product development
Own and drive innovation at the intersection of AI and high-performance hardware. Lead all aspects of software design and delivery including high level architecture design, implementation, testing, and maintenance in accordance with Iterative Scopes Software Development standards

Skills

Key technologies and capabilities for this role

Embedded SoftwareEdge AIComputer VisionIoTUbuntuLinuxOpenCVPyTorchTensorFlowONNX RuntimeGPUsCybersecurityAutomated Testing

Questions & Answers

Common questions about this position

What is the salary for this Staff Embedded Software Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What are the key required skills for this position?

The role requires 7+ years of experience leading complex software systems, deep expertise in Ubuntu/Linux, computer vision, cybersecurity, and designing automated testing infrastructures, plus skills in edge AI deployment with OpenCV, PyTorch, TensorFlow, ONNX Runtime, and IoT integration.

What is the company culture like at Iterative Health?

The company emphasizes relentless innovation in gastrointestinal care using AI and clinical research, with a collaborative environment involving cross-functional teams like hardware, ML, DevOps, QA, RA, and product.

What makes a strong candidate for this Staff Embedded Software Engineer role?

A strong candidate has a Bachelor’s or Master’s in Computer Science or Engineering (or equivalent), 7+ years leading complex software systems across full lifecycle, and proven full stack engineering experience with expertise in embedded software, edge AI, computer vision, IoT, and cybersecurity.

Iterative Health

AI-driven solutions for gastrointestinal care

About Iterative Health

Iterative Health focuses on improving gastrointestinal (GI) care through the use of artificial intelligence (AI) and machine learning (ML). Their main product, SKOUT®, is an FDA-cleared device designed to help doctors detect adenomas, which are precursors to colorectal cancer. This device works alongside physician judgment to enhance the accuracy of diagnoses. In addition to SKOUT®, Iterative Health provides services that optimize clinical trials by using AI-enabled documentation technology, which improves patient care and ensures high-quality reporting across different healthcare institutions. This technology aims to make advanced care more accessible, especially to underserved populations. Unlike many competitors, Iterative Health combines AI technology with a strong focus on colorectal cancer prevention and clinical trial efficiency. The company's goal is to deliver top-tier GI care and improve health outcomes for patients worldwide.

Boston, MassachusettsHeadquarters

2017Year Founded

$182.1MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Vision/Dental/ Medical Insurance

Life/Disability Insurance

Parental Leave

Stock Options

Flexible Work Hours

Unlimited Paid Time Off

Risks

Competition from tech giants in AI medical imaging threatens Iterative Health's market share.

Rapid expansion and partnerships may strain operational capabilities and resources.

Reliance on AI exposes Iterative Health to potential ethical and regulatory scrutiny.

Differentiation

Iterative Health uses AI to enhance GI care, focusing on colorectal cancer prevention.

Their SKOUT® device aids in adenoma detection, improving diagnostic accuracy in endoscopy.

AI-enabled documentation technology optimizes clinical trials, enhancing research quality and continuity.

Upsides

AI-driven predictive analytics in gastroenterology allow for personalized, effective patient care.

Partnerships with Gastro Health and One GI® expand clinical research capabilities in GI care.

$150M Series B funding accelerates AI innovations, transforming gastroenterology care.

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