Senior Automotive Sensor Ecosystem Manager
NVIDIA
Senior Automotive Sensor Ecosystem Manager
NVIDIA
Designs the chips and software that power AI
NVIDIA is harnessing AI to shape the next era of computing, with GPUs powering intelligent devices, robots, and autonomous vehicles. Our breakthroughs are driven by hardworking people and a culture grounded in innovation, excellence, determination, and teamwork. Join us to build technology with a lasting impact. NVIDIA’s autonomous driving team is building a sensor ecosystem for production-ready, next-generation vehicle platforms. We are looking for a Senior Sensor Ecosystem Manager to develop partnerships with suppliers of autonomous vehicle sensors and systems and bring qualified technologies into our automotive ecosystem.
This is an individual contributor role. You will work across engineering, business, and supplier teams to guide engagements from evaluation through qualification, acquisition, and ongoing support.
What you’ll be doing:
What we need to see:
Ways to stand out from the crowd:
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.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.
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