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Nvidia Software Jobs in Michigan (NOW HIRING)

Astemo

Sr. Embedded Software Engineer

Farmington Hills, MI · On-site

$122K - $159K/yr

Develop platform software capabilities that extend beyond vendor-provided baselines to meet the ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Astemo Ltd

Sr. Embedded Software Engineer

Farmington Hills, MI · On-site

$122K - $159K/yr

Develop platform software capabilities that extend beyond vendor-provided baselines to meet the ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Utilidata

Director, Talent Management

Ann Arbor, MI · On-site +1

$160K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Run full lifecycle recruitment for technical and non-technical roles, including software, hardware ...

Utilidata, Inc.

Director, Talent Management

Ann Arbor, MI · On-site

$160K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Run full lifecycle recruitment for technical and non-technical roles, including software, hardware ...

Utilidata

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 ... software and hardware platform * Stay hands-on early in the role and scale toward leader-of-leaders ...

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Nvidia Software information

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

What are popular job titles related to Nvidia Software jobs in Michigan?

For Nvidia Software jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Nvidia Software jobs in Michigan look for?

The top searched job categories for Nvidia Software jobs in Michigan are:

Nvidia Software jobs near you
Infographic showing various Nvidia Software job openings in Michigan as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr. Vehicle Application Software Engineer

Farmington Hills, MI • On-site

Compal
See more jobs at Compalexternal

Full-time

Posted 21 days ago

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.



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