1

Temporary Nvidia Autonomous Driving Jobs in Rochester, MI

Technical Operations Lead

Warren, MI ยท On-site +1

$40 - $42/hr

Placement Type: Temporary Salary: $40-42 Hourly Start Date: Jun 13, 2026 Shift Details ... Experience: 5+ years of experience in automotive, robotics, autonomous vehicles, aerospace, or a ...

Driving better future mobility VS (Vehicle component Solutions) Company ( of LG Electronics focuses ... Perform work autonomously while receiving periodic reviews at key milestones * Set priorities based ...

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 Jun 8, 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 are Temporary Nvidia Autonomous Driving jobs?

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 are the key skills and qualifications needed to thrive as a Temporary Nvidia Autonomous Driving Engineer, and why are they important?

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 some 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.
What are the most commonly searched types of Nvidia Autonomous Driving jobs in Rochester, MI? The most popular types of Nvidia Autonomous Driving jobs in Rochester, MI are:
What job categories do people searching Temporary Nvidia Autonomous Driving jobs in Rochester, MI look for? The top searched job categories for Temporary Nvidia Autonomous Driving jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Temporary Nvidia Autonomous Driving jobs? Cities near Rochester, MI with the most Temporary Nvidia Autonomous Driving job openings:

Software Integration Engineer (6 months Contract)

Wayve

Detroit, MI โ€ข Hybrid

$103K - $138K/yr

Other

Posted 24 days ago


Job description

The roleย 

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 youย ย 

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

  • 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.ย 
  • 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.

Desiredย 

  • 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. ย 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. ย  We operate core working hours so you can determine the schedule that works best for you and your team.ย