System Application Engineer
NVIDIA
System Application Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world.
We're Application Engineering team and searching for System Engineer to engage for partner development in ARM-based CPU with NVIDIA solutions. NVIDIA is creating the future of computing and looking for passionate, dedicated, and forward-thinking individuals to help make that happen.
What you’ll be doing:
Develop and implement NVIDIA product with SOC design and provide technical support during development, testing and production.
System-level tool development/debug from the product segment needed.
Drive the partner design review through system architecture, schematics, and layout, thermal, mechanical and validation plan.
Coordinate with multiple engineer teams to perform partners design onGPU or NV-required products in design cycle till production.
Work with partners for issue analysis, root cause and drive with partner's design quality.
Provide tech training to partners.
Overseas travel will bemission-basedand may be required a couple of times per year.
What we need to see:
Excellent skills in ARM System Architecture for SOC system solutions.
Solid Solid understanding in hardware system design concept.
Master degree in Electrical Engineering, Computer Science , a related field, or equivalent practical experience.
5+ years of experience in hardware or circuit design. Laptop or PC or server design work experience.
High-speed signal design and strong knowledge of consumer or server system architecture. Experience with motherboard design, laptops, and ARM-based systems is a strong plus.
Experience with high-speed design, signal integrity, and power distribution techniques.
Excellent communication skills, flexibility in task assignments, Innovative, Independent, results-oriented problem solver.
Ways to stand out from the crowd:
Strong oral & written communication skill (both English and Chinese).
Development experiences in ARM based SOC system.
Self-motivated and aggressive to learn.
Can work under high pressure and dynamic environments.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our elite engineering teams are growing fast. If you're a creative and autonomous practical engineer with real passion for technology, we want to hear from you.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
Explore more opportunities at NVIDIA