Software Engineer, Abridge

• Abridge is hiring Software Engineers with a strong background building backend infrastructure and distributed systems to join our team
• We’re looking for individuals with a passion for backend engineering and distributed systems, who are ready to make a meaningful impact in healthcare!
• 5+ years of backend engineering experience, with a focus on distributed systems and high-performance computing
• Strong experience in building and maintaining scalable, performant backend systems
• Familiarity with cloud infrastructure (e.g., AWS, GCP) and the ability to design cloud-native solutions
• Proven experience in optimizing systems for throughput, latency, and reliability, including working with model serving and deployment pipelines
• Solid understanding of backend technologies, such as service-oriented architecture, microservices, and APIs
• Experience working with cross-functional teams, especially in a startup environment, to align engineering efforts with product goals
• Strong problem-solving skills and the ability to work in fast-paced, evolving technical environments

Desirable

• These engineers will play a critical role in building and optimizing the backend infrastructure that powers our AI-Driven healthcare products
• Your work will be instrumental in ensuring the scalability, reliability, and performance of our systems, enabling us to deliver actionable insights from clinical conversations
• Collaborating closely with machine learning engineers, data scientists, and product teams, you’ll design and implement high-performance, distributed systems that support model serving, data processing, and integration with healthcare applications
• Design, develop, and maintain backend infrastructure to support machine learning models and AI-powered healthcare applications
• Work with distributed systems, ensuring high availability, scalability, and performance of the platform
• Optimize model serving, including throughput, latency, and resource utilization for high-performance computing
• Collaborate with ML and data teams to integrate AI models into production environments, supporting both training and inference workflows
• Build and maintain APIs and services for data access and machine learning model interaction
• Troubleshoot, debug, and optimize backend systems to improve reliability and system performance
• Help scale the team by providing mentorship to junior engineers and collaborating with leadership on architectural decisions

• Unlimited PTO, plus 12 national holidays
• 16 weeks paid parental leave, for all employees
• Flexible working hours — we care more about what you accomplish than what specific hours you’re working
• Remote work environment
• Equity for all new employees
• Generous equipment budget for your home office setup ($1600)
• Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup

Total funding: $457.5m

Summarizing key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.