ZipRecruiter

Log In

1

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

3B Staffing LLC

Power Systems Engineer

Manhattan, NY · On-site +1

... NVIDIA resources and performing steady state powerflow analysis for these models using GPUs and ... Ensure electrical fidelity between source models and converted models (topology, parameters, limits ...

3B Staffing LLC

Power Systems Engineer

Manhattan, NY · On-site +1

... NVIDIA resources and performing steady state powerflow analysis for these models using GPUs and ... Ensure electrical fidelity between source models and converted models (topology, parameters, limits ...

CoreWeave

HPC Performance Engineer

Manhattan, NY · Remote

Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

AITAN

Systems Engineer, Robotics Integration

New York, NY · On-site +1

$180K - $220K/yr

Sc. in Electrical Engineering, Computer Engineering, Mechatronics, or equivalent practical ... You've worked with embedded platforms such as STM32, ESP32, NVIDIA Jetson, Pixhawk, or similar

New York University

Post Doctorate Associate

New York, NY · On-site

$62K/yr

... sensors, Nvidia Isaac Gym, Simulator. Salary range In compliance with NYC's Pay Transparency Act ... Qualifications Candidates should have a PhD in Mechanical, Electrical, Biomedical Engineering, or ...

Tata Consultancy Services

AI Researcher

Edison, NJ · On-site

Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs ... D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a ...

Tata Consultancy Services

AI Researcher

Edison, NJ

Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs ... D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a ...

New York University

Research Associate

New York, NY · On-site

$48K - $65K/yr

... sensors, Nvidia Isaac Gym, Simulator. Salary range In compliance with NYC's Pay Transparency Act ... in Mechanical, Electrical, Biomedical Engineering, or Computer Science or a related field.

previous pagenext page

Showing results 21-40

All JobsElectrical Engineer Nvidia JobsElectrical Engineer Nvidia Jobs in Secaucus, NJ

Electrical Engineer Nvidia information

See Secaucus, NJ salary details

$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?

For Electrical Engineer Nvidia jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Electrical Engineer Nvidia jobs in Secaucus, NJ look for?

The top searched job categories for Electrical Engineer Nvidia jobs in Secaucus, NJ are:

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

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

Electrical Engineer Nvidia jobs near you
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.

Senior Solutions Architect, Generative AI Deployment and AIOps

Nvidia

New York, NY • On-site, Remote

Full-time

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing:

  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions

  • Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas

  • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform

  • Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions

  • Analyzing performance and power efficiency of AI inference workloads on Kubernetes

  • Some travel to conferences and customers may be required (20%)

What We Need To See:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow

  • Strong fundamentals in programming, optimizations, and software design, especially in Python

  • Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments

  • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments

  • Excellent knowledge of the theory and practice of LLM and DL inference

  • Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

  • Prior experience with DL training at scale, deploying or optimizing DL inference in production

  • Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Familiarity with parallel programming and distributed computing platforms

#NALASAHiring

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 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

Nvidia logo

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

View All Nvidia Jobs

Apply