Lead Automotive Software Engineer
2 months ago
NVIDIA is at the forefront of technological innovation for over two decades.
The introduction of the GPU by NVIDIA in 1999 not only revolutionized the gaming sector but also redefined the landscape of computer graphics and parallel computing. Recently, advancements in GPU deep learning have catalyzed the modern AI movement, marking a new epoch in computing, with the GPU becoming the core processing unit for computers, robots, and self-driving vehicles that can interpret and understand their environment.
This is our vision — to amplify human creativity and intelligence.
The automotive industry is undergoing a significant transformation, and NVIDIA is spearheading advancements in the autonomous driving vehicle sector, delivering essential solutions to leading automotive manufacturers. We are deeply engaged in critical automotive domains where visual computing and AI are pivotal for Autonomous Driving (AD).
Autonomous Driving Vehicles necessitate a high-performance computing architecture on wheels, presenting a considerable AI and software-centric computational challenge. As there is no existing platform capable of addressing this challenge, we are developing our own.
Your Responsibilities:
We are looking for skilled Automotive System Software Engineers to work collaboratively with NVIDIA's global team to design and implement the system platform software for OEMs and Tier 1 suppliers, engage with clients, and develop production for autonomous driving electronic control units (ECUs).
- Leverage extensive development experience combined with a passion for innovation.
- Participate in cutting-edge autonomous driving projects to provide customized product features and technical support for a scalable autonomous driving computing platform ranging from Level 2 to Level 5, analyze complex technical challenges in autonomous driving, and independently resolve issues across various teams.
- Create and deploy software for autonomous driving platforms utilizing the NVIDIA Thor System on Chip (SoC).
- Maintain open communication with colleagues across the organization, fostering relationships and collaborating effectively.
Qualifications:
- Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related fields (or equivalent experience) with over 5 years of substantial work and product experience.
- In-depth knowledge of Linux or QNX operating systems and proficiency in programming languages such as C.
- Experience working with complex automotive systems on Linux or QNX Kernel, Board Support Package (BSP), and drivers (e.g., Ethernet, Serializer/Deserializer, Display, PCIe, eMMC, UFS, etc.). Familiarity with virtualization/hypervisor is advantageous.
- Knowledgeable in ARM architecture and capable of troubleshooting Linux or QNX system performance and stability issues.
- Proficient in debugging at the board and chip level using appropriate probing tools.
- Strong written and verbal communication skills in English.
Preferred Attributes:
- Exhibit self-motivation and excel in collaborating across diverse functional teams.
- Possess strong communication and organizational skills, with a logical approach to problem-solving, effective time management, and task prioritization.
- Familiarity with Automotive SPICE and/or ISO26262 standards will facilitate your integration into our exciting autonomous driving initiatives.
- Previous experience in areas such as Autonomous Driving, Automotive Infotainment, or Cockpit systems is beneficial.
- Demonstrate commitment and the ability to work independently.
NVIDIA offers highly competitive salaries and a comprehensive benefits package, recognized as one of the most desirable employers in the technology sector. With a team of some of the most innovative and dedicated professionals, and due to our exceptional growth, our elite engineering teams are expanding rapidly. If you are a resourceful and independent engineer with a genuine passion for technology, we are eager to learn more about you.
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