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Neuroscience Engineering Jobs in California (NOW HIRING)

Aspen Neuroscience

Sr. Automation Engineer

San Diego, CA · On-site

$135K - $165K/yr

Aspen Neuroscience is at the forefront of autologous stem-cell therapies, and we are looking to add a Senior Automation Engineer to our growing team. The Senior Automation Engineer will support the ...

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Aspen Neuroscience

Sr. Automation Engineer

San Diego, CA · On-site

$110K - $144K/yr

Aspen Neuroscience is at the forefront of autologous stem-cell therapies, and we are looking to add a Senior Automation Engineer to our growing team. The Senior Automation Engineer will support the ...

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Mason-Grey Corporation

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Neuroscience Biomarkers Immunoassays Lab Technician

San Diego, CA · On-site

$34 - $38/hr

Neuroscience Biomarkers Immunoassays Lab Technician IV POSTING: 72451 (JNJNJP00072451) LOCATION ... S) in Science, Engineering and Technical subjects, as well as 5+ years of postgraduate work ...

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SupportFinity™

Staff Neuroscientist

Santa Clara, CA · On-site

$140 - $230/hr

About Precision Neuroscience Precision Neuroscience is building a next-generation brain-computer ... In this role, you will sit at the intersection of biology and engineering, ensuring our hardware ...

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Neuroscience Engineering information

See California salary details

$34.5K

$91.7K

$170.7K

How much do neuroscience engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for neuroscience engineering in California is $91,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $112,500.00 per year, depending on experience, location, and employer.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What are some common challenges faced by professionals in neuroscience engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering is an interdisciplinary field that combines neuroscience with engineering principles, and individuals with a neuroscience degree can pursue careers in biomedical engineering, neural engineering, or neurotechnology. Gaining skills in programming, electronics, and data analysis, along with relevant internships or certifications, can enhance employment prospects in engineering roles related to neuroscience.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as neural implants, brain-computer interfaces, and neuroprosthetics. They often work with interdisciplinary teams, utilize tools like electrophysiology and imaging, and require knowledge of neuroscience, engineering principles, and programming. Their work supports medical treatments, research, and the development of assistive devices.

What are popular job titles related to Neuroscience Engineering jobs in California?

For Neuroscience Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Neuroscience Engineering jobs in California look for?

The top searched job categories for Neuroscience Engineering jobs in California are:

What cities in California are hiring for Neuroscience Engineering jobs?

Cities in California with the most Neuroscience Engineering job openings:

Neuroscience Engineering jobs near you
Infographic showing various Neuroscience Engineering job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $91,739 per year, or $44.1 per hour.

Director of Biology

The Biological Computing Co

San Francisco, CA • On-site

$250K - $300K/yr

Full-time

Posted 12 days ago

Job description

About TBC
The Biological Computing Co. (TBC) is an applied biological computing company that uses real neurons to improve AI models.
We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more efficient. Our Algorithm Discovery Platform brings together biology, computational neuroscience, AI research and software engineering to develop new algorithms, architectures and neurally-optimized software for generative video and next-generation AI infrastructure.
Today, we are commercializing neurally optimized models that run on conventional GPU and cloud infrastructure. Longer term, we are building toward real-time biological compute, where real neurons operate alongside silicon as part of the compute stack.
Our interdisciplinary team includes researchers and engineers with experience at Apple, Johns Hopkins, Meta, MIT, Stanford and other leading institutions.
About the Role
TBC is hiring a Director of Biology to lead our San Francisco laboratory and manage the biology team there.
You will be responsible for the scientific quality, experimental throughput and operational performance of the wet lab. You will lead scientists and research staff working across neuronal culture, tissue preparation, multi-electrode array experimentation, electrophysiology, animal research support, laboratory operations and compliance.
This is a senior leadership role for someone who combines strong scientific judgment with effective people management and operational execution. You will remain close to the science while building the people, systems and processes required to make TBC's biological platform more reliable, reproducible and scalable.
Lead the SF biology team
  • Manage, mentor and develop scientists, research associates and laboratory staff.
  • Set team priorities, allocate resources and ensure high-quality execution across experimental programs.
  • Support recruiting, onboarding, performance management and professional development for the biology organization.
  • Build a culture centered on scientific rigor, documentation, collaboration, safety, accountability and speed.
Own San Francisco Laboratory Operations
  • Oversee day-to-day wet-lab operations, including equipment, supplies, inventory, purchasing, vendor relationships and laboratory readiness.
  • Ensure that facilities, equipment and workflows support current research priorities and future growth.
  • Lead planning for laboratory expansion, new equipment, maintenance, process improvements and additional experimental capacity.
  • Identify operational risks and implement systems that allow the laboratory to run safely, consistently and efficiently.
Drive Biological Platform Execution
  • Oversee neuronal culture systems, tissue preparation and experimental workflows involving living neural networks.
  • Maintain and improve culture viability, consistency, reproducibility and experimental throughput.
  • Establish clear quality-control standards for biological preparations and experimental readiness.
  • Partner with scientists across disciplines to design stimulation, recording and analysis workflows tied to TBC's biological computing platform.
Oversee Electrophysiology and MEA Workflows
  • Lead experimental programs involving multi-electrode array systems for neural stimulation and recording.
  • Ensure the collection of high-quality electrophysiological data with appropriate documentation, quality control and data management.
  • Develop repeatable experimental protocols that support rapid iteration across biology, computational neuroscience and AI.
  • Work closely with computational and engineering teams to connect biological measurements to model performance and company milestones.
Maintain Quality, Safety and Compliance
  • Own laboratory safety, quality and regulatory standards, including GLP-aligned practices, biological safety procedures and standard operating procedures.
  • Ensure that experimental protocols, training records and laboratory documentation are complete, accurate and current.
  • Oversee animal research support and compliance with approved IACUC protocols where applicable.
  • Maintain appropriate practices for equipment use, biological materials, tissue handling, waste disposal and experimental recordkeeping.
Partner Across the Company
  • Work closely with AI, computational neuroscience, engineering, product and leadership teams to align biology priorities with company objectives.
  • Translate experimental results, risks and resource requirements into clear recommendations for the technical roadmap.
  • Help define biological milestones and determine which experimental programs should receive additional investment.
  • Serve as a senior scientific and operational leader as TBC scales biology from individual research workflows into a repeatable platform.
What Success Looks Like
  • TBC's neuronal culture systems are consistent, viable and reproducible across experiments.
  • Laboratory throughput increases without sacrificing scientific quality, safety or documentation.
  • MEA experiments generate reliable data that can be translated into measurable AI and model-performance improvements.
  • Biology priorities, staffing and resources remain aligned with the company's technical and commercial milestones.
  • The biology team operates with clear ownership, strong collaboration and high scientific standards.
  • Laboratory systems and processes scale effectively as TBC expands its team, equipment and experimental programs.
Required Qualifications
  • B.S., M.S. or Ph.D. in Neuroscience, Cell Biology, Bioengineering or a related field.
  • At least seven years of relevant wet-lab experience, including two or more years managing scientists, research associates or laboratory teams.
  • Experience with mammalian cell culture, primary neuronal culture or neural tissue systems.
  • Strong understanding of laboratory operations, equipment management, biological safety, documentation and quality systems.
  • Experience managing vendors, inventory, purchasing and complex experimental workflows.
  • Demonstrated ability to lead interdisciplinary scientific teams and manage multiple priorities.
  • Strong written and verbal communication skills.
  • Ability to work full-time on site in TBC's San Francisco laboratory.
Preferred Qualifications
  • Ph.D. in Neuroscience, Cell Biology, Bioengineering or a related field.
  • Experience with multi-electrode array systems, patch clamp or other electrophysiology methods.
  • Experience with in vivo animal research, including rodent handling, surgical procedures, injections, tissue collection or IACUC compliance.
  • Familiarity with GLP standards, immunoassays, immunohistochemistry, viral transduction or chemogenetic methods.
  • Experience in biotechnology, neurotechnology, AI-adjacent research or another interdisciplinary environment.
  • Experience building or scaling a laboratory through a period of rapid organizational growth.
  • Experience implementing laboratory quality systems, operational metrics or reproducibility standards.

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