Signal Processing Engineer

Neuralink; South San Francisco, Austin (CA, TX); On-site; USD 121,000 - 230,500; Full time

Benefits offered by this job

World-changing impact

Growth potential

Health insurance

Paid holidays

Meals provided

Equity RSUs

401(k) plan

Parental leave

Flexible time off

Job summary

Neuralink is seeking a talented Signal Processing Engineer to design, develop, and optimize on-chip DSP algorithms for real-time neural interfaces within custom SoCs.

You will create hardware-friendly, fixed-point aware solutions and work with SoC, Firmware and ML teams to deliver production-ready processing We offer a base salary range of $121,000 – $230,500 with RSU equity for full-time employees, comprehensive benefits, and a culture that aims to restore movement and enable new human-digital

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Signal Processing, or related field.
• 3+ years in DSP algorithm development for embedded/hardware-constrained implementations.
• Strong fundamentals in analog and digital signal processing.

Responsibilities

• Design and develop DSP algorithms for neural activity sensing and cortex health monitoring.
• Develop fixed-point/quantized algorithms optimized for constrained hardware.
• Translate algorithms to hardware-friendly representations and verify them.
• Map algorithms to architecture with tradeoffs in accuracy, latency, power, and resources.
• Collaborate with digital design to define micro-architectures for on-chip processing pipelines.

Skills

DSP fundamentals

Python & C

Embedded systems

Education

BS/MS/PhD in Electrical/Computer Engineering or related field

Tools

Verilog/VHDL

DSP cores/accelerators

Embedded tooling

Job description

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.

Job Summary

We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.

Key Responsibilities

• Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
• Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
• Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
• Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
• Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
• Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.

Required Qualifications

• Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
• Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
• Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
• Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
• Proficiency in Python and C for algorithm prototyping and simulation.

Preferred Qualifications

• Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
• Experience with dedicated DSP cores or accelerators.
• Track record of optimizing for power/area/latency in resource-constrained environments.

Expected Compensation:

The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.

Base Salary Range:

$121,000 - $230,500

What We Offer:

Full-time employees are eligible for the following benefits listed below.

• An opportunity to change the world and work with some of the smartest and most talented experts from different fields
• Growth potential; we rapidly advance team members who have an outsized impact
• Excellent medical, dental, and vision insurance through a PPO plan
• Paid holidays
• Meals provided
• Equity (RSUs) *Temporary Employees & Interns excluded
• 401(k) plan *Interns initially excluded until they work 1,000 hours
• Parental leave *Temporary Employees & Interns excluded
• Flexible time off *Temporary Employees & Interns excluded