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 PC gaming landscape but also transformed modern graphics and parallel computing. The recent advancements in GPU deep learning have catalyzed the era of AI, positioning the GPU as the core processing unit for computers, robots, and self-driving vehicles that can interpret and understand their surroundings.
This is our vision — to elevate human creativity and intelligence.
The automotive industry is undergoing a significant transformation, and NVIDIA is pioneering advancements in the autonomous driving sector, providing essential solutions for leading automotive manufacturers. We are heavily engaged in critical automotive domains where visual computing and AI are pivotal for Autonomous Driving (AD).
Autonomous Driving Vehicles necessitate a robust computing system on wheels, presenting a substantial AI and software-driven computational challenge. As there is no existing platform that can address this challenge, we are developing our own.
Your Responsibilities:
We are in search of skilled Automotive System Software Engineers to work collaboratively with NVIDIA's global team to design and deliver the system platform software to OEMs and Tier 1 suppliers, engage with clients, and develop production for autonomous driving electronic control units (ECUs).
- Bring a wealth of development experience coupled with a passion for innovation.
- Participate in cutting-edge autonomous driving initiatives to provide customized product features and technical support for a scalable autonomous driving computing platform from Level 2 to Level 5, analyze complex technical challenges in autonomous driving, and independently resolve issues across multiple teams.
- Design and implement software for autonomous driving platforms utilizing the NVIDIA Thor SOC.
- Maintain open communication with colleagues throughout the organization, fostering relationships and collaborating effectively.
Qualifications:
- BS or MS in Electrical Engineering, Computer Science, or related fields (or equivalent experience) with over 5 years of relevant work and product experience.
- In-depth knowledge of Linux or QNX operating systems and proficiency in programming languages such as C.
- Experience with complex automotive systems on Linux or QNX Kernel, Board Support Packages (BSP), and drivers (e.g., Ethernet, Serializer/Deserializer, Display, PCIe, eMMC, UFS, etc.). Familiarity with virtualization/hypervisor is a plus.
- Knowledge of ARM architecture and the ability to troubleshoot 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.
Distinguishing Factors:
- Exhibit self-motivation and excel in collaborating across diverse functional teams.
- Possess excellent communication and organizational skills, with a logical approach to problem-solving, effective time management, and task prioritization.
- Experience with Automotive SPICE and/or ISO26262 standards will facilitate your integration into our exciting autonomous driving projects.
- Prior experience in areas such as Autonomous Driving, Automotive Infotainment, or Cockpit systems is advantageous.
- Demonstrate commitment and the ability to work independently.
NVIDIA offers highly competitive salaries and a comprehensive benefits package, making it 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 engineering teams are expanding rapidly. If you are a resourceful and independent engineer with a genuine passion for technology, we look forward to learning more about you.
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