Senior Software Engineer, Scaling AI Systems
Abridge - SF Office, San Francisco, California, USA, NYC Office
Posted May 21, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer, Scaling AI Systems SF Office, San Francisco, California, USA, NYC Office About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge's services and engineering team are in hyperscale mode. We are looking for experienced software engineers to join our team and help improve the performance, stability, and scalability of our software by multiples. This is a distributed systems oriented role and is approximately 80% software focused and 20% cloud infrastructure focused. You will help us build load testing and chaos engineering into our development cycle, leverage observability and profiling tools to identify performance bottlenecks and resolve them, work with diverse teams
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