Software Engineer, Audio Detection for Autonomous Driving

Tensor Auto; San Jose (CA); On-site; USD 75,000 - 300,000; Full time

Benefits offered by this job

Equity incentives

Benefits package

Professional growth

Job summary

Tensor is seeking a motivated engineer to join our perception team in San Jose, CA, working on SOTA multi-modal models for autonomous driving. You will design, develop, and deploy perception systems, and contribute to state-of-the-art research in computer vision and deep learning.

Applicants should have a BS in CS, strong Python and C/C++, and hands-on experience with PyTorch and TensorFlow. We offer competitive compensation, equity incentives, and a comprehensive benefits program.

Qualifications

• BS degree in Computer Science or a similar discipline.
• Strong programming skills in Python and C/C++.
• Hands-on experience with deep learning frameworks such as PyTorch and Tensorflow.
• Excellent communication, strong analytical thinking and problem solving skills.

Responsibilities

• Design, develop, and deploy SOTA multi-modal models for various usecases in autonomous driving.
• Detect, classify, and localize important sounds that impact autonomous driving, such as emergency vehicle sirens.

Skills

Python

C/C++

Deep learning (PyTorch/TensorFlow)

Communication & problem solving

Education

BS in Computer Science or related

MS/PhD in Computer Vision / ML

Tools

PyTorch

TensorFlow

Job description

Tensor is seeking a motivated engineer to join our perception team in San Jose, CA, working on SOTA multi-modal models for autonomous driving. You will design, develop, and deploy perception systems, and contribute to state-of-the-art research in computer vision and deep learning.

Applicants should have a BS in CS, strong Python and C/C++, and hands-on experience with PyTorch and TensorFlow. We offer competitive compensation, equity incentives, and a comprehensive benefits program.