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Electrical Engineer Nvidia Jobs in Secaucus, NJ (NOW HIRING)

... Nvidia Isaac Gym, Simulator, as exemplified by a strong publication record. Expected start date and ... S. degree in electrical, biomedical, mechanical, computer, or aerospace engineering or mathematics ...

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Electrical Engineer Nvidia information

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$51.3K

$112.9K

$170.8K

How much do electrical engineer nvidia jobs pay per year?

As of Sep 5, 2026, the average yearly pay for electrical engineer nvidia in Secaucus, NJ is $112,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $134,200.00 per year, depending on experience, location, and employer.

What is an electrical engineer Nvidia?

An Electrical Engineer at Nvidia is responsible for designing, developing, and testing hardware components for cutting-edge computing and AI technologies. They work on power distribution, high-speed circuit design, PCB layout, and system integration for GPUs, data centers, and autonomous systems. The role requires expertise in circuit design, signal integrity, and industry standards, often involving collaboration with cross-functional teams.

What are the key skills and qualifications needed to thrive as an electrical engineer Nvidia?

To thrive as an Electrical Engineer at Nvidia, you need a solid background in electrical engineering principles, digital and analog circuit design, and a relevant engineering degree. Proficiency with tools like Cadence, SPICE, and knowledge of hardware description languages, as well as familiarity with industry standards and certifications, is highly valued. Exceptional problem-solving skills, teamwork, and effective communication are key soft skills that set candidates apart. These competencies are critical because they ensure you can design innovative hardware, troubleshoot complex issues, and collaborate efficiently on cutting-edge technology projects.

What types of projects and technologies do electrical engineers at Nvidia typically work on?

Electrical Engineers at Nvidia are involved in designing, testing, and optimizing high-performance hardware systems, such as GPUs and AI accelerators, which support a wide range of cutting-edge applications. They work on board-level circuit design, power delivery, signal integrity, and system integration, often collaborating with cross-functional teams including hardware, software, and mechanical engineers. The fast-paced and innovative environment means engineers are continually exposed to new technologies and challenges, allowing for rapid professional growth and hands-on involvement in industry-leading products. This role offers the opportunity to directly influence Nvidia’s hardware platforms that shape advancements in gaming, artificial intelligence, and high-performance computing.

Can I work at NVIDIA as an electrical engineer?

Electrical engineers can work at NVIDIA in roles involving hardware design, circuit development, and system integration. The company often requires relevant experience, proficiency in tools like CAD and simulation software, and a bachelor's or master's degree in electrical engineering or a related field.

What are popular job titles related to Electrical Engineer Nvidia jobs in Secaucus, NJ?

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What cities near Secaucus, NJ are hiring for Electrical Engineer Nvidia jobs?

Cities near Secaucus, NJ with the most Electrical Engineer Nvidia job openings:

Infographic showing various Electrical Engineer Nvidia job openings in Secaucus, NJ as of June 2026, with employment types broken down into 66% Full Time, 30% Part Time, and 4% Nights. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $112,944 per year, or $54.3 per hour.

$27/hr

Full-time, Part-time

Re-posted 19 days ago


Key responsibilities

  • Work with lab's PhD students or postdocs on mechatronics design, integration, and testing.

  • Develop and evaluate models in machine learning and reinforcement learning for robot control.

  • Conduct experiments, collect and process data from human subjects and sensor measurements.


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

82nd of 630 rated colleges and universities


Job description

Description
Part-Time Research Scholar
Biomedical Engineering
New York University
Biomechatronics and Intelligent Robotics Lab led by Prof. Hao Su (http://haosu-robotics.github.io) at NYU Tandon School of Engineering is seeking to hire a Part Time Research Scholar (Non-PhD) to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots, and humanoid robots.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. NYU Tandon fosters innovation and entrepreneurship that make a difference in the world. The Biomedical Engineering department is at the center of a high-tech start-up culture where student and faculty innovation and entrepreneurship activities are supported and nurtured both in New York City, Brooklyn and across the NYU Global Network University. NYU Tandon Biomedical Engineering department leads multidisciplinary centers in medical imaging and data analysis, tissue engineering and regenerative medicine, synthetic and systems bioengineering, robotic and rehabilitation engineering, nano- and micro-bioengineering, neuro-engineering, and cell and immuno-bioengineering. Biomechatronics and Intelligent Robotics Lab focuses on use-inspired fundamental research, publishes high-caliber papers in Nature, Science Robotics, Nature Machine Intelligence, IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, etc., and offers entrepreneurship opportunities.
Expectations:
Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics design, reinforcement learning-based robot controller development, conducting experiments and data processing.
The candidates will be expected to:
  • Conduct mechatronic system design, integration, and testing
  • Develop and evaluate models in machine learning and reinforcement learning
  • Publish papers in top robotics and AI conferences and journals
  • Collect and process data from human experiments and sensor measurements
  • Conduct human-subject experiments in medical robot applications

The successful candidate will have a demonstrated background in one or more of the following areas, soft robots, legged robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym, Simulator, as exemplified by a strong publication record.
Expected start date and period of employment
Expected start date is immediately. This position is expected to be for 6 months.
Salary
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $27.00 per hour for up 20 hours per week. New York University considers factors such as (but not limited to) the specific funding source and the terms.
Tandon faculty and students are at the forefront of the high-tech start-up culture in New York City and have access to NYU's Global Network University. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world.
Qualifications
We are looking for candidate with a B.S. and/or M.S. degree in electrical, biomedical, mechanical, computer, or aerospace engineering or mathematics or computer science. The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including physiological health data collection and subsequent data analysis.
Application Instructions
Applicants should submit a cover letter, a current CV and a list of three references with complete contact information. All application materials should be submitted electronically via Interfolio and to: hao.su@nyu.edu and su.lab.robotics@gmail.com.
Review of applications will begin as soon as possible and will continue until the position is filled.
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

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Year founded

1831