Systems Engineer, Beacon Biosignals
AI brain monitoring
Posted today
AI brain monitoring
101-200 employees
Posted today
101-200 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- Education: BS in engineering, or related field
- Work Experience (post-graduate): 5+ years of professional engineering experience with a BS degree or 3+ years with an MS degree
- Strong analytical and problem-solving skills, with the ability to analyze complex systems, identify technical risks, and drive system-level improvements
- Experience leading cross-functional technical efforts across hardware, software, firmware, and operations teams to deliver complex integrated systems
- Experience defining system architectures and developing detailed technical specifications and documentation for multidisciplinary electromechanical systems, including system requirements, design documents, test plans, and test reports
- Experience with requirements traceability, risk analysis, verification & validation (V&V), and root cause investigations throughout the product development lifecycle
- Strong written and verbal communication skills, with the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
- Experience working in fast-paced environments with evolving requirements and the ability to independently drive technical analysis and decision-making
- Experience supporting products through manufacturing transfer, sustaining engineering, and change management processes
- Preferred: Experience with engineering collaboration and development tools like Git and JIRA, as well as platforms like GitHub and OpenBOM
- Preferred: Experience developing medical devices or other regulated/safety-critical products
- Preferred: Familiarity with medical device design controls, risk management practices, and applicable regulatory standards
What the job involves
- In this exciting and challenging role as the system engineer specializing in hardware, you will contribute to the development of new, modified EEG device systems that meet application, business, customer and regulatory requirements
- You will be working in the Device Team, reporting to the Director of Device Engineering and working closely with hardware, firmware, software engineers and product managers
- You are responsible for system and sub-system requirements, system verification, risk management, system root cause analysis, manufacturing validations, and system integration with Algorithm and Platform teams
- Your goal as a System Engineer is to strive without reserve for the greatest quality and reliability in our products
- To accomplish this goal, you will collaborate with other design, research, manufacturing and quality colleagues to develop products from concept to commercialization
- You will contribute to product idealization, development, integration verification, validation, and manufacturing
- Additionally, you will document design in accordance with applicable product development processes, quality and regulatory requirements
- Develop and maintain device development in accordance with Beacon’s QMS
- Apply Systems Engineering principles and best practices to new product development
- Elicit, analyze, and document system and sub-system requirements, ensuring coherence and traceability throughout the product lifecycle
- Implement verification and validation with proper traceability for system, hardware, and software components. Develop and execute test plans, test cases, and procedures to assess system performance, functionality, and reliability
- Actively contribute to risk management, including hazard analysis (dFMEA and FMEA) and risk mitigation. Identify, assess, and manage risks associated with system development, production, and post-production maintenance
- Interface with Product Management, Algorithm Development team, and Platform team to ensure smooth integration of sub-systems of Beacon’s products
- Support and write technical and process-related documents
- Support the transition of the device from development to production, and lead root cause analysis of issues in production at contract manufacturers
Our take
The brain has long been considered one of the most mysterious fields of medicine - and psychiatric and neurological diseases therefore one of the least understood. Better access to real-time brain data, however, could change this and that’s exactly what Beacon Biosignals is hoping to deliver.
Beacon Biosignals has developed an AI-powered EEG platform designed to better measure and understand brain activity. Its technology includes a lightweight wearable headband that tracks brain signals during sleep and at home, feeding huge amounts of real-world data into machine-learning models. The aim is to help researchers analyze brain activity faster, identify new biomarkers, and improve the development of treatments for neurological and psychiatric disorders.
The company recently raised major funding and acquired home sleep testing specialist CleveMed as it expands its AI-powered brain health platform. Its FDA-cleared wearable headband is already being used in more than 40 clinical trails studying conditions like depression, Alzheimer's, Parkinson's, and sleep disorders. By collecting millions of hours of brain activity data, Beacon hopes to help researchers detect diseases earlier and better understand how the brain changes over time.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2026
$11m
SERIES B
Nov 2025
$86m
SERIES B
Total funding: $127.5m
Company HQ
Beacon Hill, Boston, MA
Leadership
Jarrett Revels
(Co-Founder & CTO)Prior to co-founding Beacon Biosignals in 2019, Jarrett spent 4 years at Massachusetts Institute of Technology, joining as a Scientific Programmer before become a Performance Engineer then Research Software Developer.
Jacob Donoghue
(Co-Founder & CEO)Jacob completed a Neuroscience PhD at Massachusetts Institute of Technology, and received his MD from Harvard Medical School. Subsequently they carried out research for Cyberkinetics Neurotechnology Systems and Massachusetts General Hospital.
Brandon Westover
(Co-Founder)Received their MD from Washington University School of Medicine, then took up a Neurology residency at Harvard Medical School. Alongside their work at Beacon Biosignals, Brandon is also an HST Faculty member at MIT and a Neurologist/Medical AI Researcher at Massachusetts General Hospital.
Syd Cash
(Co-Founder)Syd is an Associate Professor at Harvard Medical School, who also leads the Center for Neurotechnology and Neurorecovery at MGH.
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