neuralink · Austin, Texas, United States; South San Francisco, California, United States
Skills: Rust
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. Team Description: Join the Brain Interfaces Embedded Systems Team and be part of an elite team of engineers working on high-performance, safety-critical embedded systems for the next-generation brain-computer interfaces. You will have the opportunity to work closely with chip designers, electrical engineers, and software engineers on a small, fast-moving team. Job Description and Responsibilities: We are looking for experienced, hands-on engineers who are interested in exploring what's possible in highly powered and latency-constrained environments. Firmware is the kernel of operation for the implant, and you have the chance to define and implement features that have a significant impact on the product’s capabilities. As an Embedded Software Engineer, you will be expected to: Own complex challenges from definition to solution Utilize your ability to work cross functionally to deliver safety critical systems while considering power, radio, and thermal requirements Take ownership of products and/or core features; from planning and design to execution and testing Build on your fundamental understanding of hardware while contributing to bare-metal firmware Embrace a fast-paced iterative environment that prioritizes shipping manufacturable solutions Note: The team is hiring embedded engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed. Required Qualifications: Bachelor’s degree in computer science, electrical engineering, related field, or equivalent experience 1+ years of experience with embedded systems (including internships) Proficient in embedded C or Rust Ability to design bare-metal embedded systems in highly constrained environments Strong Electr…
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