EE Systems Engineer

Precision BioMEMS; Santa Clara (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Precision Neuroscience is seeking an EE Systems Engineer to analyze and improve the end-to-end signal processing chain for our next‑gen brain–computer interface. You will work with EE design, firmware, ML, and software teams to enhance signal acquisition and processing from sensors to ML features.

You will join a US-based team with offices in Santa Clara, NY, Chicago, or Boston, and contribute to safe, high‑performance systems in a fast‑moving field.

Qualifications

• Strong background in end-to-end signal processing for sensors and ML features.
• Experience with adaptive filtering and interference rejection techniques.
• Familiarity with embedded signal processing and fixed-point optimization.

Responsibilities

• Analyze and improve end-to-end BCI signal acquisition systems.
• Design advanced signal processing methods to enhance data quality.
• Model device performance vs bench measurements and collaborate across teams.

Skills

Signal processing

Analog DSP

Adaptive filters

Control systems

Python

MATLAB

Simulink

SystemC/SystemVerilog

FPGA/DSP implementation

On-device ML

PyTorch

Education

Advanced degree in EE or related field

Tools

MATLAB

Simulink

SystemC

SystemVerilog

PyTorch

Job description

Precision Neuroscience is building a next-generation brain–computer interface (BCI) to heal and empower millions of people living with neurological conditions.

Our first product, Layer 7, is designed to help people with severe paralysis operate digital devices using only their thoughts—opening up new possibilities for daily life.

Our team brings together experts in neurosurgery, AI and machine learning, microfabrication, electrical engineering, clinical science, and more. We combine deep technical rigor with a people-first mindset to turn breakthrough research into real-world medical solutions.

As a Precision employee, you’ll join one of the fastest-moving and best-capitalized companies in the emerging field of brain–computer interfaces. Since our founding in 2021, we have raised more than $180 million, advanced our technology through validation, and initiated human trials with leading hospitals across the country.

Our Values

We build for human impact, measuring progress by the lives our work can change.

We do no harm, holding ourselves to the highest standards of safety, integrity, and responsibility.

We innovate with urgency, because the stakes are high and our users can’t wait.

We bring sharp minds, open ears, pairing expertise with curiosity, humility, and respect.

And we lead the way, taking ownership of our work and helping to shape the future of our field.

We are seeking an EE Systems Engineer to analyze and improve our end-to-end signal processing chain, in collaboration with microfabrication, FW, ML, and SW teams.

In this role, you will work closely with EE design engineers, as well as FW, ML, and SW engineers to analyze and improve end-to-end BCI signal acquisition systems.

This position will be based in one of the following Precision offices: Santa Clara, New York, Chicago, or Boston. We are unable to consider remote workers or individuals who are not currently based in the US and are not legally authorized to work in the US.

Key Responsibilities

• End-to-end sensor signal chain analysis, from sensor elements to ML feature extraction
• Analysis and design of advanced signal processing methods for signal acquisition improvements, such as adaptive filters for interference rejection
• Correlation and modeling of practical device performance vs bench device performance

Skills, Knowledge And Expertise

• Strong understanding of analog and digital signal processing (filters, sampling, analog to digital conversion), including statistical signal processing (adaptive filters, estimation and detection theory)
• Solid knowledge of analog signal processing imperfections, such as noise, interference, component variations. Experience modeling of analog imperfections is a plus.
• Knowledge of control systems and feedback fundamentals
• Experience with system modeling and simulation frameworks (Python / MATLAB / Simulink / SystemC / SystemVerilog)
• Experience with embedded signal processing, including fixed-point optimization for FPGA or DSP implementation
• Working knowledge of ML frameworks (PyTorch)
• Knowledge of digital communication fundamentals and SERDES is a plus
• Experience with on-device ML is a plus

Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone.

As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

We prioritize candidate security. Please be aware that job offers will only come from emails ending with @precisionneuro.io

For roles based in Massachusetts: it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Precision Neuroscience does not accept unsolicited resumes or candidate profiles from recruitment agencies, staffing firms, or third-party recruiters. Any resumes submitted without a prior written agreement and an authorized job order will be considered the property of Precision Neuroscience, and no fee will be owed in the event a candidate is hired.