Signal Processing Engineer
Removed by source
At a glance: is it worth your time?
- Is it real? Taken down from Neuralink's own job board; JoRoute confirmed it on 2026-11-05. · checked by JoRoute
- What it asks: Mid level. "Experience : 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations." · employer's own words
- Check before applying: Pay not published. Ask for the range. Austin, Texas, United States; South San Francisco, California, United States · South San Francisco - SSF. · employer's own words
- Next: One-page brief: what to ask before you apply
Facts from the employer's board and other listings, not a verdict that the job is safe.
Apply only through the employer's own page. Real employers never ask you to pay to apply or to deposit a check for them. How to spot job scams.
The source no longer lists this job. Applying through JoRoute is closed.
- Job type
- Not stated by the source
- Department
- Brain Interfaces Hardware
- Salary
- Not published by the source
- Posted
- 2026-04-30 · updated 2026-10-02
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

