# Signal Processing Engineer at Neuralink

Signal Processing Engineer at Neuralink in Austin, Texas, United States; South San Francisco, California, United States. Full-time, paying $121k–$231k. Posted April 30, 2026.

- Company: Neuralink
- Location: Austin, Texas, United States; South San Francisco, California, United States
- Job type: Full-time
- Pay: $121k–$231k
- Experience: 3+ years
- Posted: 2026-04-30
- Apply: https://boards.greenhouse.io/neuralink/jobs/6681863003?gh_jid=6681863003
- Source: https://jobmagic.ai/jobs/signal-processing-engineer-neuralink-t2dkds

## Requirements

- 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.

## Description

**About Neuralink:**

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

- Commuter benefits

- 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*