Designs scalable software architectures, leads technical projects, develops complex backend and frontend features, and owns solutions through the full lifecycle. Provides engineering mentorship, reviews code and designs, researches technologies, establishes quality standards, troubleshoots distributed systems, and collaborates across product and program teams. The role requires significant software development and engineering leadership experience, with emphasis on backend development, TypeScript, AWS, distributed systems, and regulated software environments.
RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.
Our mobile app is in constant use by clinical teams to coordinate the treatment of patients in hospitals across the globe. We process data for 1/2 of all stroke cases in the United States and a large number of stroke cases in other countries of the world, including Switzerland, Japan, Australia and Brazil.
At RapidAI, we believe in leveraging cutting-edge technology and research to impact millions of lives. Our software products enhance doctors’ capabilities across hospitals worldwide to respond to and make the best decisions for patients quickly. 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.
What you will do!
- Design complex, scalable software systems and architectures. Evaluate existing architectures and propose improvements. Ensure technical decisions align with product roadmap.
- Plan technical projects and milestone deliverables in alignment with product managers. Coordinate engineers and their tasks and monitor overall progress.
- Design and build impactful technical solutions and own them through the entire development lifecycle.
- Develop complex features and components. Review code and designs developed by other engineers. Debug difficult issues across the codebase.
- Research the latest technologies and propose ways to integrate them to improve the product. Come up with solutions for technical challenges and improvements.
- Provide technical guidance and mentorship to other engineers. Establish engineering best practices and standards.
- Clearly communicate complex technical concepts and designs to both technical and non-technical audiences. Collaborate cross functionally across product, program management and other teams.
- Establish quality standards, design review checklists, code review processes etc. Monitor system performance and ensure quality goals are met. Drive continuous improvement.
What you bring!
- Bachelors’ Degree or equivalent
- 15+ years of experience in software development and demonstrated engineering leadership
- · 8+ years of experience in backend development
- 3+ years in using Typescript and Amazon AWS
- High level of skill in at least one general-purpose backend language and one frontend language, but willingness to work with other languages if required
- High level of distributed system design skill
- Creating platforms, reusable libraries, and utilities wherever applicable
- Writing high-quality code that is modular, functional, and testable
- Troubleshoot issues effectively in a distributed architecture
- Communicate, collaborate and work effectively in a global environment
- Solid analytical and reasoning skills for design, troubleshooting and root cause analysis
- Great communication skills with technical and non-technical teams
- Preferred
- iOS or Android development experience; Swift, Kotlin and good understanding of Native mobile
- Experience in a regulated software environment e.g. medical device, aerospace, defense, automotive
- Experience with DICOM, HL7 or other medical data formats/protocols
RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please review our CPRA policies here.
For more information on the information we collect about our applicants and how we use it, see our CPRA Privacy Notice here.
RapidAI San Mateo, California, USA Office
San Mateo, CA, United States
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.
Top Skills:
AndroidAndroid Automotive OsArtificial IntelligenceCloud ComputingDistributed SystemsEdge-Cloud ComputingGrpcJavaKotlinLarge Language ModelsMachine LearningMicroservicesRestStreaming Apis
Financial Services
Leads technical strategy, architecture, and hands-on delivery for blockchain integrations and digital asset products. Owns public-chain connectivity, interoperability, on-chain/off-chain workflows, security engineering, protocol evaluation, and roadmap development. Mentors senior engineers, establishes engineering standards, and advises executives. Also governs agentic AI-enabled development workflows, including validation, security, auditability, testing, incident response, and responsible AI controls across engineering teams.
Top Skills:
Agentic AiAi-Assisted Software DevelopmentBlockchainBlockchain BridgesDistributed SystemsIndexingKey ManagementLayer 2 (L2)Node InfrastructurePublic BlockchainRpcSmart ContractsSoftware Development Lifecycle AutomationThreat Modeling
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.
Top Skills:
Amazon S3AWSData MeshDistributed Query EnginesDynamoDBEmbedding SystemsFlinkKafkaLlmsMl/Ai
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



