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Electrical Engineer Nvidia Jobs in Elmhurst, IL (NOW HIRING)

Electrical Engineer Nvidia information

See Elmhurst, IL salary details

$50.3K

$110.6K

$167.3K

How much do electrical engineer nvidia jobs pay per year?

As of Sep 6, 2026, the average yearly pay for electrical engineer nvidia in Elmhurst, IL is $110,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $131,500.00 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 Elmhurst, IL?

For Electrical Engineer Nvidia jobs in Elmhurst, IL, the most frequently searched job titles are:

What job categories do people searching Electrical Engineer Nvidia jobs in Elmhurst, IL look for?

The top searched job categories for Electrical Engineer Nvidia jobs in Elmhurst, IL are:

What cities near Elmhurst, IL are hiring for Electrical Engineer Nvidia jobs?

Cities near Elmhurst, IL with the most Electrical Engineer Nvidia job openings:

Infographic showing various Electrical Engineer Nvidia job openings in Elmhurst, IL as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,644 per year, or $53.2 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 25 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).