1

Brain Computer Interface Jobs in Phoenix, AZ (NOW HIRING)

... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... Evaluate, select, and integrate internal and external IP, including I/O interfaces.Work with ...

Brain Computer Interface information

See Phoenix, AZ salary details

$11

$54

$77

How much do brain computer interface jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for brain computer interface in Phoenix, AZ is $54.55, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $62.07 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 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 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 most commonly searched types of Brain Computer Interface jobs in Phoenix, AZ?

The most popular types of Brain Computer Interface jobs in Phoenix, AZ are:

What are popular job titles related to Brain Computer Interface jobs in Phoenix, AZ?

For Brain Computer Interface jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Brain Computer Interface jobs in Phoenix, AZ look for?

The top searched job categories for Brain Computer Interface jobs in Phoenix, AZ are:

Infographic showing various Brain Computer Interface job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $113,455 per year, or $54.5 per hour.

Neuromorphic Front-End Silicon Lead

Phoenix, AZ • On-site

Intel
Manufacturing • 10K+ employees

$220K - $311K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz


Job description

Job Details:Job Description: The OpportunityFor nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators.If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.Position OverviewAs our silicon team grows, we are seeking a front-end silicon lead to manage both the design and verification of our neuromorphic chiplets and IP. This principal-level role calls for a talented technical leader with a track record of realizing new processor and accelerator architectures, plus strong SoC integration experience including high-speed interfaces such as Ethernet, PCIe/UCIe, and memory controllers. Your multidisciplinary team will turn emerging neuromorphic and AI accelerator concepts into robust, manufacturable silicon. First-principles thinking and an openness to learning new technologies and methodologies, such as asynchronous design and AI automation, are essential.ResponsibilitiesEngage with architects and AI researchers to identify hardware innovations and optimizations, and translate them into implementable microarchitectures. Lead a team responsible for design implementation and verification through post-silicon validation. Partner with physical/custom design engineers, often first prototyping blocks through place-and-route prior to hand-off, and co-design critical custom circuits such as memories to achieve the best KPIs. Evaluate, select, and integrate internal and external IP, including I/O interfaces.Work with software and systems teams to enable development long before tape-out and ensure smooth post-silicon bring-up. Mentor engineers and strengthen design and verification practices as the program scales.Qualifications:

Minimum qualifications
MS in Electrical/Computer Engineering, Computer Science, or a related field.
10+ years of hands-on design experience in processors, accelerators, SoCs, or custom ASICs.
5+ years of experience with RTL design (Verilog/SystemVerilog) and modern ASIC flows (synthesis, timing closure, CDC/RDC, formal, DFV).
3+ years leading silicon design and/or verification teams.

Preferred qualifications
PhD with a research background in hardware acceleration, especially AI.
Experience with advanced packaging and heterogeneous integration technologies (e.g., chiplets, UCIe, 2.5D/3D).
Experience with asynchronous design methods and custom memory/circuit co-design.
Experience with pre-silicon enablement via emulation or FPGA prototyping.
Experience with low-power (UPF) methods and security features such as Root of Trust and secure boot.

History of technical ownership on multiple product tape-outs.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Texas, AustinPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $220,920.00-311,890.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968