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Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
NVIDIA seeks a Senior Applications Software Engineer to develop and enhance its DRIVE software for autonomous vehicles. Responsibilities include collaborating on software architecture, integrating hardware and software components, and performing in-vehicle testing. The role requires extensive deep learning and autonomous driving expertise and excellent development skills in C, C++, and Python.
Top Skills: CC++Python
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Site Reliability Engineer will lead the design and implementation of GPU compute clusters for AI research, ensuring high reliability and performance. Responsibilities include optimizing cluster operations, troubleshooting system failures, automation, and maintaining deep learning workflows. The role emphasizes collaboration, problem-solving, and continuous improvement within a diverse team environment.
Top Skills: BashPython
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Autonomous Vehicles Engineer will design and build accurate solutions for map-enhanced autonomous driving. They will integrate localization and lane planning using mapping data, develop real-time algorithms, and ensure product quality for deployment in consumer vehicles, adhering to automotive safety standards.
Top Skills: C++
4 Days Ago
2 Locations
Senior level
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
As a Senior Embedded Computer Vision Engineer, you will develop and optimize algorithms for NVIDIA's Computer Vision stack, work on safety-critical software, collaborate with various teams, and gather requirements from customers while ensuring performance and reliability of the system.
Top Skills: C/C++
4 Days Ago
3 Locations
Senior level
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
As a Senior System Software Engineer at NVIDIA, you will develop and productize DRIVE OS software for various automotive platforms. Responsibilities include designing bootloaders, device drivers, tuning performance, and coordinating with cross-functional teams to meet customer needs while ensuring safety standards are upheld.
Top Skills: C
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The System Software Engineer will port DRIVE OS Linux and QNX to new hardware, develop platform software for onboard devices, design safety compliant system software for autonomous vehicles, and work on drivers and applications for NVIDIA Tegra SOC. This role involves problem-solving and collaboration on complex software interactions.
Top Skills: C
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
As a System Software Architect, you will lead the design and implementation of firmware and driver stacks for NVIDIA's Programmable Vision Accelerator. You will architect and develop software for embedded systems, collaborating with teams to enhance functionality and support product requirements. Your role will involve technical leadership, mentoring, and problem-solving in a dynamic environment focused on advanced computing technologies.
Top Skills: CC++
2 Days Ago
Remote
India
Senior level
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior Solutions Architect will support NVIDIA's NIC/DPU initiatives by collaborating with customers on networking applications and large-scale projects, ensuring customer satisfaction, addressing technical issues, and working closely with cross-functional teams to optimize environments.
Top Skills: Python,Bash,C,Cuda
4 Days Ago
Remote
2 Locations
Junior
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
As a CPU Infrastructure Verification Engineer, you will set up verification flows for large IP projects, improve continuous integration processes, and develop tools to streamline chip development, monitoring health through automated dashboards. You will also analyze performance bottlenecks and debug complex problems impacting the team.
Top Skills: HTMLJavaScriptLinuxPerlPython
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