Principal Machine Learning Engineer- Perception
Motional- Full Time
- Junior (1 to 2 years)
NVIDIA
Candidates should be pursuing a Bachelor’s or Master’s degree in Computer Science or a related field, and possess experience in software development utilizing Python and the deep-learning software stack, including Pytorch, Tensorflow, or Jax. Background in reinforcement learning, imitation learning, sensor simulation, and synthetic data generation is also required.
The Software Engineering Intern will develop and evaluate novel perception approaches for robotics tasks utilizing synthetic simulation, create benchmarks to validate robot task performance, collaborate with research and engineering teams to integrate and validate approaches, and assist in accelerating the development of autonomous systems and shaping the future of robotics and AI.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.