---
title: 'Test Automation Engineer at Hyperfine'
canonical: 'https://feeny.ai/job/test-automation-engineer-hyperfine-palo-alto-d9qxqhs6kvhs'
type: 'job'
last_seen: '2026-09-11'
---

# Test Automation Engineer at Hyperfine

- **Company:** Hyperfine
- **Location:** Palo Alto, CA
- **Work type:** hybrid
- **Posted:** 2026-07-01
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/hyperfine53/jobs/6105419004

## Job description

## About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop® system—the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. [Learn More](https://hyperfine.io/)

## About The Role

Job Title: Test Automation Engineer

Location: Palo Alto, California (Hybrid, 3 days per week)

The Cloud Test Automation Engineer will be primarily responsible for designing, implementing, and maintaining automated testing frameworks and quality processes for cloud-based and device software. This person will work closely with various teams to ensure reliable, compliant, and high-quality software releases, supporting both developer operations and IT in the cloud and on premises. In addition to test automation, the engineer will contribute to CI/CD workflows, selected cloud operations, and medical device documentation activities. The role requires flexibility, strong problem-solving skills, and a willingness to grow into the regulated medical device domain, ensuring compliance with standards such as HIPAA, SOC2, HITRUST, and other federal and state regulations. To be successful, the candidate should be customer-focused (internal), comfortable collaborating across development and production, and technically adept in a fast-paced start-up environment. This position reports to the Senior Manager, Cloud and will be a key contributor to the Cloud and DevOps Teams

## RESPONSIBILITIES:

- Design, develop, and maintain automated test frameworks for cloud and device software.
- Integrate automated tests into CI/CD pipelines to ensure consistent quality and rapid feedback.
- Define and improve test strategies, coverage, and quality metrics across cloud and device platforms.
- Collaborate with software engineers to identify test gaps and improve testability of systems.
- Execute and automate functional, integration, regression, and system-level tests.
- Troubleshoot test failures and support root-cause analysis across test and production environments.
- Support cloud environments and pipelines as needed, including basic AWS operations and infrastructure automation.
- Ensure testing processes and documentation meet medical device and compliance requirements (HIPAA, SOC2, HITRUST, GDPR).
- Contribute to test plans, validation documentation, and change management artifacts.

## KNOWLEDGE AND SKILL:

- Strong experience with test automation frameworks and tools (e.g., PyTest, Selenium/playwright, API testing)
- Experience designing automated tests for cloud-based and distributed systems
- Proficiency in CI/CD pipelines with emphasis on automated testing
- Proficiency in scripting and programming languages such as Python and Bash
- Working knowledge of AWS foundational services (EC2, ECS, EKS, Lambda)
- Familiarity with Docker and infrastructure-as-code tools such as Terraform
- Understanding of software quality, validation, and compliance in regulated environments
- Strong investigation, troubleshooting, and documentation skills
- Team-oriented, intellectually curious, and adaptable to evolving responsibilities

## EDUCATION/EXPERIENCE REQUIRED:

- Bachelor’s degree in Computer Science, Engineering, or related field
- 5+ years of relevant experience in the software industry
- 3+ years of experience in test automation, software quality, or development roles
- 3+ years of experience with the AWS ecosystem (e.g., ECS, EKS, S3, EC2, IAM, etc.)
- Proficiency with programming, scripting, and configuration languages including Python and Bash
- Demonstrated experience with infrastructure as code and configuration management tools, such as Terraform
- Containerization and orchestration technologies such as Docker, Kubernetes
- Experience designing and maintaining CI/CD pipelines with integrated automated testing

## PHYSICAL DEMANDS:

- This position is based in Hyperfine's office in Palo Alto, CA (minimum 3 days per week)
- Top-notch written and communication skills in English
- Ability to take part in on-call rotation to maintain service uptime
- Ability to use and program a computer for 8 hours a day, five days a week

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $131,000 - $150,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

## About Hyperfine

## Company Overview
- **One-liner**: Hyperfine is a health technology company that developed the Swoop® system, the first FDA-cleared portable, ultra-low-field magnetic resonance brain imaging system designed for use at the point of care.
- **Entity Type**: Public (NASDAQ: HYPR)
- **Headquarters**: Guilford, Connecticut, United States
- **Founded**: 2014
- **Founders**: Jonathan Rothberg, PhD

## Core Business
- **Primary industry**: Medical equipment manufacturing / health technology (portable MRI)
- **Target customers**: B2B – hospitals, neurology practices, pediatric units, ICUs, emergency departments, and other healthcare facilities
- **Mission statement**: “To revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging.”

## Products & Services
- **Swoop® Portable MR Imaging® System**: An ultra-low-field (0.064T) portable MRI scanner that plugs into a standard outlet and can be operated by any trained healthcare professional. It provides diagnostic-quality brain imaging (T1, T2, FLAIR, DWI sequences) in multiple planes, with an open, quiet design that reduces patient anxiety and allows family to stay beside the patient.
- **Optive AI™ Software**: An AI-driven image reconstruction platform that uses deep learning to reduce noise and blur, delivering sharper anatomical detail at lower field strengths to support confident diagnosis at the point of care.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Annual Revenue: USD $13.6 million (LinkedIn estimate for most recent fiscal year)
- **Total Funding**: USD $454.8 million raised across 10 rounds, including a $207M corporate round (2021), Series D ($90M, 2021), and a $6M post-IPO equity round (2025)
- **Notable Investors / Partners**: HealthCor Catalio Acquisition Corp. (parent company); other investors from Series C, D, and seed rounds (names not fully detailed in available sources)
- **Growth Signals**: Revenue generation at $13.6M; 99 employees with a -10.3% YoY headcount decline; active presence in the US, UK, Italy, and Germany; 9 open job postings as of mid-2026; continued R&D investment in AI and sequence development

## Competitive Advantages
- **Portable & point-of-care**: The only FDA-cleared portable MRI that can be brought to the patient’s bedside without requiring dedicated infrastructure or shielding.
- **AI-powered image quality**: Optive AI software enables clear diagnostic images at 0.064T, a field strength far lower than conventional MRI.
- **Patient-friendly**: Open design, quiet operation, no ionizing radiation, and allows family/caregivers to remain present during scans.
- **Ease of use**: Simple plug-and-play setup; any trained healthcare professional can operate the system.

## Strategic Focus
- **Expand global access**: Address the 80% of the world’s population that lacks MRI access by making imaging affordable and deployable in any care setting.
- **Deepen clinical adoption**: Grow adoption in neurology, pediatrics, ICU, and emergency departments through evidence generation and reimbursement support.
- **Advance AI capabilities**: Continue improving image reconstruction and adding new sequences to enhance diagnostic confidence.

## Why Work Here
- **Mission-driven culture**: Employees are motivated by the goal of democratizing MRI and saving lives through accessible imaging.
- **Cutting-edge technology**: Work at the intersection of MRI physics, deep learning, electrical engineering, and cloud software.
- **Small, impactful team**: With ~99 employees, individuals can have outsized influence on product development and company direction.
- **Open roles**: Active hiring for Senior AI Scientist, Senior Software Engineer (Cloud), Staff Product Manager, Regulatory Affairs, Sales, and more (see careers page).
- **Location & flexibility**: Headquarters in Guilford, CT; presence in the UK, Italy, and Germany; likely hybrid/office model typical of medtech companies.
- **Leadership**: Led by CEO Maria Sainz and a management team with deep medtech and MRI experience; founder Jonathan Rothberg is a serial entrepreneur (also founded Butterfly Network, Quantum-Si).

## Sources
1. [hyperfinemri.com – About Hyperfine](https://www.hyperfinemri.com/about/about-hyperfine)
2. [hyperfinemri.com – Swoop System Overview](https://www.hyperfinemri.com/)
3. [hyperfinemri.com – Careers](https://www.hyperfinemri.com/about/careers)
4. [linkedin.com – Hyperfine Company Page](https://www.linkedin.com/company/hyperfine-inc)
5. [hyperfinemri.com – Management Team](https://www.hyperfinemri.com/about/management-team)

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