Signal Processing Engineer
neuralink
Austin, Texas, United States; South San Francisco, California, United States
Posted Apr 30, 2026
- Other
- Brain Interfaces Hardware
Job 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*