Staff Software Engineer, RapidAI

iOS

$190-210k

iOS

Swift

Git

SwiftUI

Expert level

San Francisco Bay Area

Using AI to combat vascular & neurovascular conditions

Be an early applicant

Using AI to combat vascular & neurovascular conditions

201-500 employees

HealthcareB2BArtificial IntelligenceAnalyticsMedTech

Be an early applicant

$190-210k

iOS

Swift

Git

SwiftUI

Expert level

San Francisco Bay Area

201-500 employees

HealthcareB2BArtificial IntelligenceAnalyticsMedTech

Company mission

To deliver software tools that healthcare professionals around the world can use to successfully identify and diagnose more cerebrovascular disorders than ever before possible.

Job

Company

Role

Who you are

Bachelor’s degree in CS/EE or equivalent
10+ years of commercial experience building mobile applications for iOS
10+ years of general commercial software engineering experience
High level of skill in Swift programming
Deep knowledge of the iOS SDK and device capabilities
A good understanding of the unique challenges of mobile development (intermittent connectivity, push notifications, app version/device/OS fragmentation etc.)
Excellent inter-personal and communication skills, and a desire to work in a supportive team environment
A good understanding of dependency management
High level of skill in git and GitHub
A keen interest in emerging technologies and new ways of doing things

What the job involves

We are looking for a high-energy employee who is excited to be at the forefront medical device software development.
The successful candidate will meet the criteria defined below, and in doing so, will help deliver the best patient care to patients all around the world
Work closely with a small group of passionate engineers, designers, product managers and domain experts
Design and build impactful technical solutions and own them through the entire development lifecycle
Communicate your ideas to invite feedback and build consensus
Write high quality, maintainable code
Support and challenge yourself and your peers to continuously improve engineering skills and practices
Work with bleeding edge iOS stacks like SwiftUI, Combine and Swift concurrency

Our take

The rise of artificial intelligence has led to breakthroughs across a number of industries, including healthcare and medical technology. RapidAI combines medical imaging with artificial intelligence to deliver a range of solutions for combatting life-threatening vascular and neurovascular conditions more effectively.

Through the company's scalable and secure platform, hospitals can make better and faster clinical decisions surrounding stroke, aneurysm, pulmonary embolism and, most recently, intracranial haemorrhage. Built on intelligence gained from over 10 million scans, RapidAI brings a level of visibility never before possible, supporting doctors to improve health outcomes for their patients.

The company is extremely well-regarded in the space, and has won awards such as the 2023 MedTech Breakthrough Award for Best New Imaging Solution. It recently announced the raise of $75 million in growth investment which will be used to drive platform innovation towards supporting more conditions, as well as fund go-to-market functions to accelerate growth in new regions and product verticals.

Steph

Company Specialist at Welcome to the Jungle

Insights

23% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 3 rounds)

Jul 2023

$75m

SERIES C

Sep 2020

$25m

SERIES B

Total funding: $100.5m

Company benefits

Medical, Dental & Vision
Life-Insurance, plus Short-Term & Long-Term Disability
Pre-Tax Commuter Benefits
Employee Assistance Program
401K Retirement Plan

Company HQ

Downtown, San Mateo, CA

Leadership

Dr. Greg Albers

(Chair & Scientific Lead)

Director and co-founder of the Stanford Stroke Center since 1992. Is also the Coyote Foundation Professor of Neurology and Professor, by courtesy, of Neurosurgery at Stanford University Medical Center. Greg has authored over 450 articles on cerebrovascular disease topics.

Roland Bammer

(Technical Advisor)

A serial entrepreneur with over 30 years of experience developing academic and commercial software. Co-Director of the Stanford 3D Lab. Professor of Radiology and Director of Research Excellence in Neuroimaging at the University of Melbourne, and Director of Quantitative Neuroimaging at the Royal Melbourne Hospital.

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