EE Systems Engineer

Neara; Santa Clara (CA); On-site; USD 155,000 - 185,000; Full time

Job summary

Neara is looking for an EE Systems Engineer in Santa Clara, California. This full-time role involves analyzing and improving end-to-end signal processing systems, working closely with various engineering teams.

The ideal candidate will possess strong expertise in analog and digital signal processing, control systems, and experience with machine learning frameworks. A commitment to innovation and integrity is essential in this fast-paced environment.

Qualifications

• Strong understanding of analog and digital signal processing.
• Solid knowledge of analog signal processing imperfections.
• Experience with system modeling and simulation frameworks is required.
• Knowledge of machine learning frameworks is a plus.

Responsibilities

• Analyze end-to-end sensor signal chain from sensor elements to feature extraction.
• Design advanced signal processing methods for signal acquisition improvements.
• Model practical device performance vs bench device performance.

Skills

Analog and digital signal processing

Statistical signal processing

Control systems fundamentals

System modeling and simulation frameworks

Embedded signal processing

Machine learning frameworks

Digital communication fundamentals

Tools

Python

MATLAB

Simulink

SystemC

SystemVerilog

FPGA

DSP

PyTorch

Job description

EE Systems Engineer

Job type: Full Time · Department: Electronics · Work type: On-Site · USD 155,000-185,000 / year

Locations: Santa Clara, California, United States; Chicago, Illinois, United States

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, firmware, machine learning, and software teams.

In this role you will work closely with EE design engineers, as well as firmware, machine learning, and software engineers to analyze and improve end-to-end BCI signal acquisition systems.

This position will be based in our Santa Clara office. 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 machine learning 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 machine learning frameworks (PyTorch)
• Knowledge of digital communication fundamentals and SERDES is a plus
• Experience with on-device machine learning is a plus

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.