Precision Neuroscience

Senior Firmware Quality Engineer

Precision Neuroscience

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

Visit company website
AI Apply
Manual Apply

Salary

💰 $160,000 - $180,000 per year

Job Level

Senior

Tech Stack

Cyber SecurityJenkinsPython

About the role

  • Precision Neuroscience is pioneering a brain implant (BCI) to restore communication and independence for people with neurological conditions.
  • Technology empowers people with paralysis to control digital devices (computers, smartphones) with their thoughts alone.
  • Multidisciplinary team includes experts in neurosurgery, artificial intelligence, machine learning, microfabrication, electrical engineering, and more.
  • Company founded in 2021, secured over $155 million in funding, developed and validated technology, and initiated human trials with top hospitals.
  • Seeking a Senior Firmware Quality Engineer to build and test the embedded software that makes the BCI technology possible.
  • Collaborate cross-functionally with software developers, hardware engineers, and regulatory affairs on integration tests and design control tasks.
  • Role involves developing, reviewing, and executing test plans, using lab equipment, and applying IEC 62304/FDA guidance for firmware verification.
  • Position based in Santa Clara, California office; remote workers or people not currently based in the United States with working rights cannot be considered.

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Science, Biomedical Engineering, or related field.
  • 3+ years of experience in firmware/embedded software testing.
  • Experience in medical device development or other regulated industry (FDA, ISO 13485).
  • Working knowledge of IEC 62304, ISO 14971, ISO 13485 and FDA and EU guidance and regulations related to medical device software.
  • Demonstrated scripting ability in Python
  • Familiarity with embedded C/C++, real-time operating systems, and hardware-software integration.
  • Proficient with test tools and frameworks (e.g., Python, CUnit, Jenkins, Jira, TestRail).
  • Excellent analytical, troubleshooting, and documentation skills.
  • (Preferred) Experience with automated testing for embedded systems.
  • (Preferred) Knowledge of risk management per ISO 14971.
  • (Preferred) Familiarity with cybersecurity and software updates in connected medical devices.