Senior Autonomy Systems Engineer
Motional- Full Time
- Senior (5 to 8 years)
Candidates should demonstrate experience in achieving compliance to cybersecurity standards and general automotive quality management systems, possessing in-depth experience in software engineering with a solid understanding of the software development challenges and difficulties of integrating a secure development lifecycle overlay in a fast-paced engineering lifecycle. They should also have experience managing the security of open source software such as Linux and Android, along with a good foundation of quality processes, dependency between cybersecurity and quality, and the interplay between safety and security.
The Automotive Cybersecurity Manager will be involved in the process definition and process improvement for various ISO21434 work products such as security analysis, requirements engineering, architectural verification, and development of groundbreaking software stacks for self-driving cars, optimizing the cybersecurity engineering workflow to ease adoption by engineering teams while improving the benefit to the security of the product. They will oversee the execution of the secure software development processes to meet the ISO21434 security standard through the management and preparation of cybersecurity plans, concept, manual, case, vulnerability and tool management, and be responsible for constructing the cybersecurity arguments for releasing the product by ensuring all cybersecurity risks have been adequately collected and dispositioned. Furthermore, they will set the expectations for cybersecurity work distribution between NVIDIA, suppliers, partners and customers, and work closely with the security architecture team to provide direction and guidance on how to satisfy self-driving automotive security guidelines and requirements, as well as mentor teams and developers, promoting guidelines on industry defined and proven security practices.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.