NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming and visualization.
We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. NvStreams technology is a core element of the NVIDIA DRIVE software platform supplying sophisticated, high integrity data and sensor processing infrastructure. NvStreams enables NVIDIA DRIVE users to develop software frameworks and distributed applications that optimize use of NVIDIA hardware acceleration capabilities, seamlessly port across different NVIDIA powered platforms - from data center to vehicles, and easily scale from a simple deployment to multiple hardware systems. It also maintains strong isolation guarantees and real-time monitoring of all parts of the processing pipeline. We develop NvStreams with a strong focus on automotive quality, safety and security needed for the real-time, highly-available system level components of world-class Autonomous Vehicles. We continuously research and adopt most innovative practices in automation of software design and development to achieve higher levels of software integrity and reliability.
Are you a passionate and driven software engineer? Join our team as a System Software Engineer and help develop NvStreams, prioritizing automotive quality, safety, and security. We are committed to implementing innovative practices in software design and development to ensure high levels of software integrity and reliability. This role involves working with evolving software products and user applications across different markets and hardware platforms. If you're ready to make a difference and collaborate with a dynamic team, apply now.
What you’ll be doing:
- Working alongside NvStreams collaborators, identify and implement improvements to NvStreams APIs to reduce complexity, enhance flexibility, and improve developer experience.
- Design and implement next generation of NvStreams interfaces to allow seamless use across platforms, user applications, hardware acceleration libraries and frameworks on different SoC.
- Collaborate across software and product management teams worldwide to develop scalable NvStreams library delivery flow to various NVIDIA Software Products with different roadmaps and release flows.
- Define forward-looking improvements in NvStreams with complete ownership of end-to-end implementation complying to automotive safety and security standards.
What we need to see:
- BS, MS in CS/CE/EE or related engineering field or equivalent experience.
- 8+ years of experience.
- Proficiency in C/C++.
- Experience in building complex systems with multiple threads, CPUs, accelerators and chips.
- Strong knowledge of Operating Systems: resource management, device drivers, POSIX.
- Effective written and verbal communication skills.
Ways to stand out from the crowd:
- Knowledge of Operating System security: memory sharing, message communication.
- Knowledge of Automotive quality standards, ASPICE, ISO 26262, ISO 21434.
- Hands-on experience with formal verification methods and tools, such as Ada/SPARK and TLA+.
- Process automation and implementation.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
