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Electrical Engineer Nvidia Jobs in Detroit, MI (NOW HIRING)

Sr. Embedded Software Engineer

Farmington Hills, MI · On-site

$122K - $159K/yr

Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ... D. degree in Computer Science or Electrical Engineering Experience: Minimum of 5+ years with ...

VP, AI & Applications

Ann Arbor, MI · Remote

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied ...

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied ...

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical ... Experience with embedded processors and platforms from NVIDIA, Qualcomm, NXP, Renesas, AMD, Intel ...

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical ... Experience with embedded processors and platforms from NVIDIA, Qualcomm, NXP, Renesas, AMD, Intel ...

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 ...

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 ...

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Electrical Engineer Nvidia information

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How much do electrical engineer nvidia jobs pay per year?

As of Sep 7, 2026, the average yearly pay for electrical engineer nvidia in Detroit, MI is $109,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $130,700.00 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 the most commonly searched types of Electrical Engineer Nvidia jobs in Detroit, MI?

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Sr. Vehicle Application Software Engineer

Compal

Farmington Hills, MI • On-site

$120K - $140K/yr

Full-time

Posted 17 days ago


Key responsibilities

  • Design, develop, integrate, and validate software features utilizing SYLUX infrared cameras and CDAT™ AI perception software.

  • Support feature development from proof-of-concept to customer-ready vehicle demonstration, validation, and customer evaluation.

  • Perform driver and kernel-level hardware bring-up, diagnosing and resolving low-level driver and kernel module installation issues.


Job description

Position Overview
SYLUX is seeking a highly motivated Senior Vehicle Application Software Engineer to join our team in Farmington Hills, Michigan. This position will focus on the development, integration, and validation of advanced software features for SYLUX automotive infrared perception and safety systems.
The Vehicle Application Software Engineer will bridge software development, vehicle integration, ADAS feature development, and real-world validation. The role will transform SYLUX infrared camera and CDAT™ AI perception capabilities into functional vehicle features, including Automatic Emergency Braking (AEB), Forward Collision Warning (FCW), Rear AEB, Safe Door Opening, Adaptive Cruise Control, and other next-generation safety applications. This is a hands-on engineering position that requires software development and direct interaction with vehicles, sensors, CAN networks, test equipment, and demonstration platforms.
Key Responsibilities
Software Development
• Design, develop, integrate, and validate software features utilizing SYLUX infrared cameras and CDAT™ AI perception software.
• Develop, maintain and optimize a globally shared vehicle application used across the engineering teams.
• Translate system and customer requirements into functional software features and vehicle-level behaviors.
• Support feature development from proof-of-concept to customer-ready vehicle demonstration, validation, and customer evaluation.
• Develop algorithms that convert perception output (object classification, distance, tracking, vehicle speed) into vehicle warnings, decisions, and control actions.
• Perform driver and kernel-level hardware bring-up, diagnosing and resolving low-level driver and kernel module installation issues.
• Extend perception-based feature logic to support new and evolving ADAS applications, including:
o Forward Collision Warning (FCW)
o Automatic Emergency Braking (AEB)
o Rear Automatic Braking (RAB)
o Safe Door Opening (SDO)
o Blind Spot Monitoring (BSM)
o Adaptive Cruise Control (ACC)
o Parking and Low-Speed Safety Features
o Additional infrared-enabled ADAS and automated driving applications
Qualifications
• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, Robotics, Mechatronics, or a related technical discipline.
• 5+ years of software development experience, preferably within automotive, ADAS, robotics, autonomous driving, embedded systems, or perception technologies.
• Experience with automotive infrared, camera, radar, LiDAR, or other perception sensors.
• Experience developing real-time or multi-threaded software applications.
• Experience with automotive vehicle networks, CAN bus interfacing tools (CANalyzer / kvaser)
• Experience with DBC database structures and CAN signal encoding/decoding.
• Familiarity with ROS2 framework
• Experience with low-level hardware interfaces RS232, SPI, GPIO, Ethernet/UDP, and USB.
• Experience working in Linux or NVIDIA development environments.
• Experience with Git or similar version-control systems.
• Strong programming skills in Python and/or C++.
• Ability to produce clear technical documentation, such as system / vehicle architecture diagrams.
• Strong written and verbal communication skills.
• Ability to work effectively with multidisciplinary and international engineering teams.
Travel
Approximately 15-25% travel, including customer demonstrations, vehicle testing, proving-ground activities, data collection, trade shows, and support of SYLUX programs in the United States and internationally.