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Computer Vision And Machine Learning Engineer

Company

NVIDIA

Address Santa Clara, CA, United States
Employment type FULL_TIME
Salary
Category Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing
Expires 2023-09-08
Posted at 9 months ago
Job Description
NVIDIA is looking for an excellent Computer Vision and Machine Learning Engineer for its Autonomous Vehicle teams in Santa Clara, CA, USA. As a member of our team, you will be responsible for leading, developing and maintaining software for world-class AV perception using synthetic and real data. Work areas will involve simulation, object detection/classification/tracking/prediction, sensor fusion, and domain adaptation to produce high-quality inputs to control vehicles safely and efficiently. The candidate is required to have hands-on experience and deep knowledge in at least one of these areas: computer vision and machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You are encouraged to work across people and project boundaries, and among computer vision, computer graphics, and machine learning approaches. You should have strong research, SW development, communication, interpersonal, and analytical skills.


What You’ll Be Doing


  • Design and implement software for NVIDIA Simulation products.
  • Optimize software performance.
  • Communicate and collaborate with both internal and external customers.
  • Improve existing perception algorithms using the synthetic data.
  • Design, execute, test, and maintain system tools for product development and product verification.
  • Publish and present novel perception algorithms to internal and external communities.
  • Generate synthetic sensor data using simulators.
  • Plan and implement perception software for NVIDIA Autonomous Vehicle products.


What We Need To See


  • Familiarity with source control (git, Perforce, etc.)
  • Outstanding communication and collaboration skills, as we work as a tightly knit team, always discussing and learning from each other.
  • PhD or equivalent experience in EE, CS, or related field. Research or studies specifically in computer vision, simulation, deep learning, transfer learning is highly desirable.
  • Deep understanding of programming languages such as C, C++ and Python. Optionally CUDA.
  • Prior experience working on two or more of the following: autonomous vehicles, machine learning, and computer vision.
  • 5+ years of relevant experience.
  • Experience and knowledge on assessing quality of work, metrics, and impact of perception features onto the rest of the autonomous driving SW stack


NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of accelerated computing.


The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.


You will also be eligible for equity and benefits .


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.