**WearenowlookingforaSenior SecurityEngineer within Automotive GPU System Software team.**
NVIDIA is looking for a security expert to participate in design and guide implementation of security for its core automotive products. In this role, you will be expected to take a strong, hands-on approach to ensure reliable execution of secure development and engineering practices from design to deployment of NVIDIA Automotive products. You will help reduce risk, threats, and vulnerabilities with a focus on system challenges across kernel, embedded, virtualization, and hardware layers.
**What you'll be doing:**
* You will work closely with security and functional architects to ensure robust, secure design of automotive GPU products.
* Work with process team to recommend guidelines for secure product development and driving continuous improvement in the engineering organization.
* Design and implement features that improve system security across kernel, userspace and virtualization software layers.
* Work with teams to develop and design methods and tools to discover new vulnerabilities
* Drive the assessment of vulnerabilities disclosed by internal and external partners in concert with established PSIRT teams.
**What we need to see:**
* You should have a BS or MS degree in Computer Engineering, Computer Science, or related discipline.
* At least 5 years of building and implementing secure software
* Comfort working through complex platform configurations and decomposition of same for threat/risk analysis
* Experience in threat modeling and modeling attack-vectors
* You can demonstrate a hands-on technical background; excellent C programming and low-level driver experience
* You are an asset if you have familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
* Kernel experience with Linux, QNX or similar RTOS
* Effective written and verbal communication regardless of audience or issue complexity; technical publications are a bonus
**Ways to stand out from the crowd:**
* Familiarity with kernel level security concepts.
* Familiarity with testing techniques, static code analysis, dynamic analysis, fuzzing, and other techniques.
* Experience on high-performance embedded virtualization platforms
Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing.
Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car empowered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Do you have real passion for technology? Are you creative, autonomous and seeking a challenge in the autonomous auto / self-driving car space? If so, we want to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
* Posted Today
* Full time
* JR1915179