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Neural Interface Engineer Jobs in New York (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Contribute to development of real-time software systems for neural signal processing and data ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Contribute to development of real-time software systems for neural signal processing and data ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Contribute to development of real-time software systems for neural signal processing and data ...

Distributed Spectrum Inc

Embedded Engineer

New York, NY · On-site

$150K - $220K/yr

We collect radio data from all over the world, train neural networks to decipher it, and run them ... Develop interfaces to off-the-shelf and custom hardware Requirements * Bachelor's or Master's in ...

NBCUniversal

Senior Deep Learning Engineer

Manhattan, NY · On-site

$175K - $215K/yr

Proven experience training and debugging artificial neural networks or adjacent experience (e.g ... Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.

Nvidia

Senior Software Developer, AI Networking

New York, NY

$59.50 - $78.75/hr

... interfaces in a fast-paced, evolving environment. What we need to see: * B.Sc., M.Sc degree in ... This new model - where deep neural networks are trained to recognize patterns from massive amounts ...

Amazon

Data Scientist II - AMZ24268.1

New York, NY · On-site

$169K - $207K/yr

Import processes through various company specific interfaces for accessing Oracle, RedShift, and ... algorithms, and neural networks. Validate models against alternative approaches, expected and ...

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Neural Interface Engineer information

What does an interface engineer do?

A neural interface engineer designs and develops systems that connect the human nervous system with electronic devices, often working on brain-computer interfaces or neural implants. They use skills in neuroscience, electrical engineering, and programming, and may work with specialized tools like signal processing software and biocompatible materials. Their work involves testing, troubleshooting, and ensuring safety and functionality of neural interface technologies.

What engineer makes $500,000 a year?

Neural interface engineers, especially those with advanced expertise in neurotechnology, machine learning, and biomedical engineering, can reach or exceed a $500,000 annual salary, often in senior or specialized roles within biotech or tech companies. High compensation typically reflects extensive experience, advanced degrees, and leadership responsibilities in cutting-edge research or product development.

What jobs can you do with neural engineering?

Neural engineers can work in roles such as neural interface developer, biomedical engineer, research scientist, or neurotechnology specialist. These jobs often involve designing brain-computer interfaces, developing neural signal processing algorithms, and working in research labs or medical device companies, requiring skills in neuroscience, engineering, and programming tools like MATLAB or Python.

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

What jobs make $3,000 a month without a degree?

Neural Interface Engineers typically require a relevant degree due to the specialized nature of the work; however, entry-level roles in tech support, sales, or manufacturing related to neural technology may pay around $3,000 monthly without a degree. Skills in electronics, programming, or technical troubleshooting can help qualify for such positions, often requiring certifications or on-the-job training.
What are popular job titles related to Neural Interface Engineer jobs in New York? For Neural Interface Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Neural Interface Engineer jobs in New York look for? The top searched job categories for Neural Interface Engineer jobs in New York are:
What cities in New York are hiring for Neural Interface Engineer jobs? Cities in New York with the most Neural Interface Engineer job openings:
Neural Interface Engineer jobs near you
Infographic showing various Neural Interface Engineer job openings in New York as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Research Scientist, Artificial Intelligence (PhD)

Synaptrix Labs

New York, NY • On-site

$85K - $150K/yr

Full-time

PTO

Re-posted 28 days ago

Job description

About Synaptrix Labs Inc.
Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.
We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you!
Responsibilities:
  • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models.
  • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals.
  • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints.
  • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency.
  • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data.
  • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems.
  • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards.
  • Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community.

Minimum Qualifications:
  • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields.
  • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures.
  • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation.
  • Strong mathematical foundations in linear algebra, probability, optimization, and information theory.
  • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.).
  • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued.
  • Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision.

Preferred Qualifications:
  • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG).
  • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data.
  • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains.
  • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro).
  • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure).
  • Contributions to open-source ML frameworks or custom CUDA kernels.
  • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment.
  • Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases.

About our Culture:
At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
Expected Compensation:
The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth.
Base Salary Range:
$85,000 - $150,000 USD
What We Offer:
  • 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
  • Paid holidays, unlimited PTO

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