Senior/Staff Software Engineer - Scene Understanding

th learned and classical methods that are integrated with motion planning

• Create principled algorithmic improvements and machine learning models to improve on-vehicle performance and behaviors

• Leverage our large-scale data pipelines and machine learning infrastructure to research, prototype, and deploy new solutions to improve driving behavior

• Plan and lead large cross-functional initiatives

• Present work proposals & artifacts to leadership and technical mentoring of team members

Qualifications

• BS, MS, or PhD Computer Science or related field within Robotics; 3+ years of experience

• Experience with training and deploying machine learning models

• Experience with production machine learning pipelines, dataset creation, training frameworks, and metrics pipelines

• Understanding of configuration spaces and real-time motion planning algorithms (A*, RRTs, PRMs, etc.)

• Fluency in C++, Python, PyTorch, TensorFlow

Bonus Qualifications

• Prior experience with successful deployment of products in autonomous robotics and/or a safety critical product industry

• Prior experience with sensor fusion, 3D data representation, motion planning, machine learning pipelines & architectures

• Publications in the fields of machine learning and/or robotics within academia or industry venues

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $230,000 to $332,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.