Staff Backend Engineer, Medical Device & Cloud Platform

SandboxAQ

About The Position

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity Join AQMed to revolutionize heart health using AI and advanced sensing for next-gen medical diagnostics. Our mission is to revolutionize diagnostic accuracy and speed, ultimately improving patient care. We develop next-generation imaging devices that are portable and easy to use, that will enable healthcare providers to deliver superior care in diverse settings worldwide. In this role, you will be a technical pillar for the backends of our devices, providing deep expertise for our most important software assets. You will support the development and enhancement of the on-device backend (running locally on our medical kiosks) as well as the cloud-based platform responsible for large-scale data processing and diagnostic report generation. You will ensure our processing algorithms and software run smoothly across both environments, providing a scalable foundation for our SaMD (Software as a Medical Device) initiatives.

Requirements

8+ years of professional software engineering experience (medical device experience is a strong plus), with a focus on mission-critical, high-performance production backend systems.
Demonstrated experience debugging complex systems.
Expert-level proficiency in Python
Deep experience building and managing cloud infrastructure (preferably AWS) using Terraform.
Demonstrated experience writing software for real-world physical devices, kiosks, or IoT edge environments, with an understanding of resource constraints and hardware-software interaction
Professional experience with Linux-based systems and the command line, specifically in environments where software interacts with real-world hardware.

Nice To Haves

Direct experience developing medical device software following IEC 62304, preferably for complex Class II medical capital equipment (e.g., medical imaging devices, surgical robotics, or complex diagnostic consoles)
Familiarity with React, TypeScript, and Storybook to facilitate seamless collaboration with frontend engineers.
Experience implementing identity solutions, specifically OAuth (IAM and Auth0) , for both cloud platforms and edge devices
Proficiency in bash scripting for infrastructure and deployment automation.
Experience writing and debugging C/C++ code for embedded systems firmware

Responsibilities

Own the successful execution and deployment of the device backend, acting as the primary driver of code quality.
Optimize and scale core processing algorithms and denoising software on-device and in the cloud.
Design, build out and scale our AWS-hosted, HIPAA-compliant data platform using Infrastructure as Code (IaC) with Terraform.
Maintain and enhance robust backend services that facilitate seamless communication and data transfer between field devices, the cloud, clinicians, and hospital systems.
Help establish and build the mechanisms to enforce best practices for handling sensitive patient data to maintain security and HIPAA compliance across the entire stack.
Develop clearly-written, tested, and documented software solutions compliant with standards for the medical device software lifecycle (e.g., IEC 62304)
Partner with regulatory, product, hardware, and data science stakeholders to translate complex device and signal-processing models into production-ready backend services.
Actively support documentation efforts and internal knowledge transfer to ensure the long-term health of our software ecosystem.

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