Senior Systems Engineer Jobs

Blackrock Neurotech

Location:
United States, Salt Lake City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Senior Systems Engineer, you will be responsible for the architecture, integration, and validation of complex brain-computer interface (BCI) systems that span hardware, software, and neuroscience domains. You will bridge the gap between engineering disciplines, ensuring that all subsystems function cohesively and meet performance, safety, and regulatory requirements. This role requires strong technical breadth, the ability to manage cross-functional dependencies, and leadership in system-level decision-making.

Job Responsibility:

Define system-level requirements and architecture for next-generation BCI platforms
Lead integration of hardware, software, and MEMS modules into cohesive systems
Develop verification and validation strategies to ensure compliance with safety and regulatory standards
Drive risk management processes in accordance with ISO 14971
Collaborate with ASIC, electrode, applications, and preclinical teams
Serve as a key contributor in design reviews and technical decision-making
Define software tools and platforms for requirements, user needs, and specifications management
Maintain clear technical documentation, including requirements traceability and test reports
Mentor junior systems engineers and contribute to team growth
Support regulatory submissions by providing system engineering documentation

Requirements:

Master’s or PhD in Electrical Engineering, Computer Engineering, Systems Engineering, Biomedical Engineering, or related field
8+ years in systems engineering with a focus on complex, multi-disciplinary systems (medical devices or neurotechnology preferred)
Demonstrated expertise in system architecture and requirements management
Familiarity with FDA-regulated design control processes and medical device development standards (IEC 60601, ISO 13485, ISO 14971) and FDA cybersecurity
Proficiency with modeling and simulation tools (Model-Based Systems Engineering)
Strong knowledge of hardware/software co-design and embedded systems
Excellent problem-solving, communication, and documentation skills
Experience working with ASICs and MEMS design teams

Nice to have:

Experience in neurotechnology, neural signal processing, or implantable medical devices
Knowledge of V&V methodologies, test automation, and reliability engineering
Familiarity with cybersecurity requirements for medical devices
Cross-disciplinary understanding of ASIC, MEMS, firmware, software, and neuroscience research

Additional Information:

Job Posted:
December 06, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Systems Engineer