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© All Rights Reserved. ApplyBlast.com
Heidi Health
This role involves building and operating the infrastructure that powers Heidi's AI models, ensuring they are fast, reliable, and cost-effective at scale. The engineer will manage GPU clusters, optimize inference performance, and support distributed training while maintaining production reliability and observability. The position requires hands-on experience with LLM deployment, GPU orchestration, and performance debugging to drive real-world impact in healthcare.
Headquarters
Melbourne, Victoria, Australia
Company Size
11-50 employees
Founded
2019
Heidi is an AI care partner designed to support clinicians across every step of the clinical day, from documentation and decision-making to patient follow-up. The platform offers practical AI tools — including a medical scribe, evidence lookup, and communications features — to reduce administrative burden and improve clinical capacity. Heidi serves a wide range of healthcare specialties globally and is trusted by hospitals, healthcare systems, and individual clinicians.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Heidi Health.
Heidi Health didn’t post a salary, so this is our estimate from similar listings.
54% above the average for this role
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