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Temporary Nvidia Autonomous Driving Jobs in Rochester, MI

Wayve

Engineering Manager, App SW - Embedded

Detroit, MI · On-site

$252K - $298K/yr

... autonomous driving technology for the US market. This is a unique opportunity to shape our AV ... NVIDIA Drive, Qualcomm Ride). * Build and lead an engineering team in the US, hiring and mentoring ...

Wayve

Engineering Manager, App SW - Embedded

Detroit, MI · On-site

$252K - $298K/yr

... autonomous driving technology for the US market. This is a unique opportunity to shape our AV ... NVIDIA Drive, Qualcomm Ride). * Build and lead an engineering team in the US, hiring and mentoring ...

Valeo

Site HR Business Partner

Auburn Hills, MI

Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and ... Manages in quantity & quality the permanent & temporary headcounts; for Production: participates to ...

Valeo

Site HR Business Partner

Auburn Hills, MI · On-site

Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and ... Manages in quantity & quality the permanent & temporary headcounts; for Production: participates to ...

General Motors

Senior Field Engineer (QRD)

Warren, MI · On-site

Every day, our products move millions of people as we aim to make driving safer, smarter, and more ... Plan and implement target sufficiency actions to address QRD issues , ensuring temporary ...

General Motors

Senior Field Engineer (QRD)

Warren, MI · On-site

Every day, our products move millions of people as we aim to make driving safer, smarter, and more ... Plan and implement target sufficiency actions to address QRD issues , ensuring temporary ...

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Temporary Nvidia Autonomous Driving information

See Rochester, MI salary details

$5

$19

$36

How much do temporary nvidia autonomous driving jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for temporary nvidia autonomous driving in Rochester, MI is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $19.90 per hour, depending on experience, location, and employer.

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.

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Temporary Nvidia Autonomous Driving jobs near you

Software Integration Engineer (6 months Contract)

Wayve

Detroit, MI • Hybrid

$103K - $138K/yr

Full-time, Contractor

Re-posted 2 days ago

Job description

The role 

We're seeking an exceptional Software Integration Engineer to join us on a contract basis within the Application Software team in Detroit, focused on localising and advancing Wayve's autonomous driving technology.

In this role, you'll be responsible for the bring-up and validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You'll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

  • Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
  • Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
  • Integrate and validate drivers, middleware, and boot-time configurations.
  • Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
  • Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
  • Implement system-level diagnostics, logging, and secure boot configuration.
  • Develop automation for setup, flashing, health checks, and test execution on target hardware.
About you  

In order to set you up for success at Wayve, we're looking for the following skills and experience.  

  • 5+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
  • Strong proficiency in C++, Bash, and Python. 
  • Proven experience with using and modifying Middlewares like OpenDDS, comm protocols utilizing gRPC or similar
  • Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
  • Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  • Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
  • Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
  • Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
  • Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desired 

  • Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
  • Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
  • Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
  • Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time contract role based in Detroit, Michigan, United States.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team. 

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