Job Description
Are you ready to engineer the interface between human thought and digital reality? At NeuroSync Systems, we are pioneering the next generation of Brain-Computer Interfaces (BCI) designed to redefine human-machine symbiosis by 2026. We are looking for a visionary Next-Gen Neural Interface Engineer to join our elite R&D division in Austin.
In this pivotal role, you will bridge the gap between cognitive neuroscience and high-performance computing. You won't just be coding; you will be architecting the neural mesh networks that power the future of human augmentation. If you are obsessed with low-latency systems and have a passion for pushing the boundaries of what is possible in human-computer interaction, we want to hear from you.
Why join us?
We offer top-tier equity packages, a remote-first culture that encourages deep work, and the opportunity to work on projects that will define the technological landscape of the next decade.
Responsibilities
- Design and implement low-latency firmware for direct neural interfacing devices, targeting sub-millisecond response times.
- Optimize neural mesh protocols to ensure seamless data transmission between biological signals and digital ecosystems.
- Collaborate with neuroscientists and bioengineers to translate complex biological data into actionable algorithmic models.
- Conduct rigorous stress-testing on hardware-software integration to meet 2026 safety and compliance standards.
- Mentor junior engineers in best practices for real-time systems and ethical AI implementation.
- Drive the architectural roadmap for next-generation sensory input/output modules.
Qualifications
- PhD or Master's degree in Computer Science, Computational Neuroscience, Electrical Engineering, or a related field.
- 5+ years of experience in systems programming, specifically with C++, Python, or Rust.
- Deep understanding of neuromorphic computing architectures and parallel processing.
- Experience with hardware-software integration, particularly in the IoT or biomedical device sectors.
- Strong knowledge of ethical frameworks regarding AI and human augmentation.
- Proven ability to work in fast-paced, cross-functional agile teams.