3D data processing, AWS, Azure, C++, C++11 Programming, Caffe, Data Analytics, Deep Learning, ETL frameworks, Google Cloud Platform (GCP), GPUs, Infrastructure as code, Machine learning techniques, Python Programming, PyTorch, TensorFlow
About the role
We are looking for a talented ML Infrastructure engineer to join the Autonomy team and help build state-of-the-art model training, evaluation, and deployment pipelines to aid in the development of the perception modules of our self-driving vehicles. You will be responsible for providing solutions to empower machine learning development and optimize offboard training.
What you’ll be doing:
What you'll bring:
What makes you a strong fit:
$160,000 - $220,000 a year
The US base salary range for this full-time position is $160,000 to $220,000 + equity + benefits + unlimited PTO
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
Agtonomy is a hybrid autonomy and tele-assist platform for agriculture vehicles. We partner with established equipment manufacturers to transform tractors and agriculture machines into autonomous and remote-controlled equipment that is accessible to local farmers.