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Brain Computer Interface Jobs in Santa Clara, CA

Senior AI Software Architect - Runtime

Santa Clara, CA · On-site

$152K - $206K/yr

... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...

Showing results 41-60

Brain Computer Interface information

See Santa Clara, CA salary details

$13

$64

$91

How much do brain computer interface jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for brain computer interface in Santa Clara, CA is $64.52, according to ZipRecruiter salary data. Most workers in this role earn between $56.44 and $73.41 per hour, depending on experience, location, and employer.

What is a brain computer interface?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are some common challenges faced by professionals working in brain computer interface roles?

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.

What are the key skills and qualifications needed to thrive in the brain computer interface position?

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

What are the most commonly searched types of Brain Computer Interface jobs in Santa Clara, CA?

The most popular types of Brain Computer Interface jobs in Santa Clara, CA are:

What are popular job titles related to Brain Computer Interface jobs in Santa Clara, CA?

For Brain Computer Interface jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Brain Computer Interface jobs in Santa Clara, CA look for?

The top searched job categories for Brain Computer Interface jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Brain Computer Interface jobs?

Cities near Santa Clara, CA with the most Brain Computer Interface job openings:

Infographic showing various Brain Computer Interface job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 11% Part Time, and 9% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution, with an average salary of $134,198 per year, or $64.5 per hour.

Mixed Signal Design Validation Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
As a member of our Mixed Signal Design Validation team, you will be responsible for the bring-up and characterization of high-speed mixed-signal circuits, in addition to performing system validation of electro-optical transceivers. The ideal candidate will take full ownership of developing and implementing tests, debugging unexpected bugs, and generating meaningful analysis from lab data of high-speed interfaces and modules.
What you'll be doing:
  • Build validation test suites for high-speed I/Os and the analog circuits
  • Conduct detailed characterization of analog, digital, and mixed-signal circuit blocks across process, voltage, and temperature variations, and correlate the data with simulations
  • Lead and drive the debugging of technically challenging issues by devising creative solutions to sophisticated problems
  • Provide feedback to analog circuit designers regarding silicon performance, design quality, and margins
  • Build and run test scripts to optimize overall system performance
  • Lead focused discussions with cross-functional teams both within and outside the company to optimize the performance of mixed-signal circuits
  • Develop tools and scripts to support electrical characterization and chip bring-up activities
  • Take ownership for training new engineers in validation practices

What we need to see:
  • A BS degree or equivalent experience with 8 years experience or higher in Electrical Engineering, Computer Engineering, or a related field. Strong collaborative and interpersonal skills are essential
  • Highly adaptable to time-sensitive, critical issues
  • Experience in silicon bring-up, debugging, and the use of lab instrumentation is required
  • Ability to work in a fast paced environment involved with multiple bring-ups of chips and systems
  • In-depth technical knowledge of fundamental analog, digital, and mixed-signal circuits
  • Ability to write scripts for validation, debugging, data analysis, and automation
  • Proficiency in Python, Git, MATLAB, and JMP

Ways to stand out from the crowd:
  • Comprehensive understanding of multi-protocol SerDes architecture
  • In-depth understanding of measurement theory and test instruments
  • Knowledge of optical transceiver performance is a plus

NVIDIA is renowned as the leader in AI computing and one of the world's most innovative and desirable employers. MSDV team consists of individuals who demonstrate outstanding creativity and critical thinking skills, driving innovation forward. If you're passionate, creative, and eager to work on the cutting edge of technology, this is the perfect team for you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993