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Internship Brain Computer Interface Jobs in Princeton Junction, NJ

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Software Engineer

New York, NY · On-site

Design and implement the best human ↔ AI interfaces for designing and understanding document ... computer science principles through coursework, personal projects, internships, or prior work ...

Amazon

Software Engineer, XR , Fauna

New York, NY · On-site

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience ... Computer Science, Engineering, Mathematics, or a related field - 2+ years of professional C# ...

Confido

New Grad Software Engineer

New York, NY · On-site

$170K/yr

... computer vision + NLP) * Help design user interfaces that simplify complex financial workflows ... Internship, academic project, or equivalent hands-on experience in software engineering * Strong ...

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Internship Brain Computer Interface information

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$24

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How much do internship brain computer interface jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship brain computer interface in Princeton Junction, NJ is $24.10, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.58 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What job categories do people searching Internship Brain Computer Interface jobs in Princeton Junction, NJ look for?

The top searched job categories for Internship Brain Computer Interface jobs in Princeton Junction, NJ are:

What cities near Princeton Junction, NJ are hiring for Internship Brain Computer Interface jobs?

Cities near Princeton Junction, NJ with the most Internship Brain Computer Interface job openings:

Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in Princeton Junction, NJ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $50,131 per year, or $24.1 per hour.

Senior Software Engineer, Networking DGX Cloud

Nvidia

New York, NY

$134K - $176K/yr

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!

What you'll be doing:

  • Developing software to enable efficient network design, deployment and day 2 management.

  • Building product focused software solutions, used by internal and external customers.

  • Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies.

  • Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn.

  • Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations.

  • Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines.

  • Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions.

  • Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, building relationships and collaborating enthusiastically.

What we need to see:

  • BS or equivalent experience with 12+ yrs of relevant industry experience.

  • Background in networking and network automation (Datacenter / PoPs / Routing)

  • Strong proficiency in Python and Go web frameworks.

  • Experience building and shipping production quality software products.

  • Experience with DCIM tools like Netbox or Nautobot and expertise in designing and implementing network configuration management systems.

  • Familiarity with containerization using Kubernetes (on-premises, EKS) and streaming telemetry protocols like gRPC/GNMI.

Ways to Stand out from the crowd:

  • You have architected, built, and deployed a network for a large scale (1000s of machines) in the past, used by 100s of engineers

  • Hands-on experience with building tooling and automation for provisioning, monitoring, and managing the network infrastructure.

  • Understanding of networking technologies such as VRFs, VxLAN, EVPN, BGP/OSPF/ISIS and datacenter design.

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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