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Nvidia Drive Av Jobs (NOW HIRING)

Nvidia

OR · On-site

$104K - $143K/yr

NVIDIA's AV Eval team is building the next generation of driving behavior evaluation - moving ... You'll define how we measure whether an autonomous vehicle drives well, building systems that ...

Nvidia

OR · On-site

$122K - $161K/yr

You will participate in groundbreaking projects that drive technology and innovation forward. Our ... Collaborate with the ADAS/AV team in optimizing the next-gen stack from NVIDIA on Tegra platforms.

Nvidia

OR · On-site

... AV SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards ... Drive autonomous vehicle system verification activities, including architecture and design ...

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How much do nvidia drive av jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for nvidia drive av in the United States is $53.14, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an NVIDIA DRIVE AV Engineer, and why are they important?

To thrive as an NVIDIA DRIVE AV Engineer, you need a strong background in computer science, robotics, or electrical engineering, with expertise in autonomous vehicle systems and algorithms. Familiarity with NVIDIA DRIVE software stack, deep learning frameworks (such as TensorFlow or PyTorch), and programming languages like C++ and Python is crucial. Excellent problem-solving abilities, teamwork, and effective communication skills distinguish top performers in this role. These skills enable successful development, integration, and optimization of autonomous driving solutions in a fast-evolving industry.

What are some common challenges faced by professionals working with Nvidia Drive AV, and how can they be addressed?

Professionals working with Nvidia Drive AV, an autonomous vehicle platform, often face challenges such as integrating complex sensor data, ensuring algorithm reliability in diverse driving conditions, and keeping up with frequent software updates. Addressing these challenges requires strong collaboration with cross-functional teams including software engineers, hardware specialists, and data scientists. Staying up-to-date through continual learning, leveraging Nvidia’s developer resources, and participating in regular code reviews are effective ways to overcome these hurdles and contribute to the safe deployment of autonomous vehicles.

What is Nvidia Drive AV?

Nvidia Drive AV is an end-to-end autonomous vehicle software platform developed by Nvidia. It provides a comprehensive suite of AI-based technologies for perception, mapping, planning, and control, designed to enable self-driving capabilities in cars. By leveraging deep learning, sensor fusion, and diverse data sources, Nvidia Drive AV helps automakers and developers build, test, and deploy safe and efficient autonomous driving systems. The platform integrates with Nvidia's hardware, such as DRIVE AGX, to deliver high-performance computing required for real-time decision-making on the road.

What is the difference between Nvidia Drive Av vs Nvidia Drive Orin?

FeatureNvidia Drive AvNvidia Drive Orin
Primary UseAutonomous vehicle development and testingAdvanced autonomous driving platform and AI computing
Required CredentialsEngineering degree, experience in automotive or AIEngineering degree, expertise in AI, embedded systems
Work EnvironmentAutomotive R&D labs, testing facilitiesEmbedded systems development, automotive industry
Industry UsageAutonomous vehicle testing and validationProduction autonomous vehicle platforms

While Nvidia Drive Av focuses on autonomous vehicle testing and validation, Nvidia Drive Orin is a more advanced platform used for deploying AI-powered autonomous driving systems in production vehicles. Both roles require similar credentials and work environments but differ in their application stages within the autonomous vehicle development lifecycle.

Application Software Engineer - Embedded Software C++

Wayve

Detroit, MI • Hybrid

$209K - $298K/yr

Other

Posted 11 days ago

Job description

The Role 

We're seeking an exceptional Application SW Engineer to join our Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the US market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in the US from the ground up.

In this role, you'll be responsible for the bring-up and early 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.

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 as an Application Software Engineer at Wayve, we're looking for the following skills and experience.  

Essential 

  • 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
  • Strong proficiency in C/C++, Bash, and Python.
  • 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.

Desirable 

  • 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 role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

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.  

Apply