Deep Learning Manager, Self-Driving

Key Skills

Java Programming, Python Programming, Ruby on Rails, Mechanical, Java Programming, Unix Operating system, logo, Offshore,

Job Description

As a Deep Learning Manager, you will lead a team of deep learning engineers to develop and deploy advanced machine learning algorithms that will directly impact safety and self-driving features for Rivian vehicles. The Deep Learning team is responsible to develop models for a wide range of algorithms including 2D and 3D object detection, scene classification and free space estimation on various sensors placed around the vehicle. The team is also responsible to create the infrastructure needed for data mining, training, and validation.

Responsibilities

• You will be responsible to set the technical direction for the team and ensure successful implementation of algorithms on Rivian vehicle programs
• Work closely with cross-functional stakeholders in systems, controls, cloud, simulation, embedded s/w, test/validation teams to ensure coordinated development to align on priorities and milestones for successful integration.
• Stay informed on the latest developments in research as well as industry processor/sensor product roadmaps to set future direction that will impact self-driving features on our next-gen vehicles.
• Support development of highly scalable and efficient frameworks for various aspects of DL model life cycle and deployment large scale training systems for supervised and unsupervised model training paradigms.
• Define key metrics/KPIs and monitor implementation to ensure we meet our safety goals
• Build a team of diverse high performing individuals, provide mentorship to the team with technical guidance and career growth opportunities as well as coach members to ensure they accomplish their career’s best work at Rivian.

Qualifications

• MS. or Ph.D. in Computer Science, Electrical, Robotics, Mechanical, or Aerospace Engineering, or a related field
• 5+ years of combined experience as a deep learning engineer and Manager.
• 1+ years of experience as Manager.
• Research, development and productization experience in one or more of the following areas:
• Object detection and semantic/panoptic segmentation
• Optimizing and deploying inference on embedded processors
• Large scale distributed training pipelines.
• Experience with frameworks such as Pytorch, TensorFlow, ONNX, MxNet, CUDA.
• Ability to maintain execution of long-term strategic goals for team while balancing near-term execution on multiple projects across different vehicle programs
• Ability to work in a fast-paced development environment
• Good team player with great communication skills
• Passionately motivated to take ideas from R&D phase to a product

Preferred Skills

• Proven track record in hiring and building a team of high performing engineers
• Experience leading projects with strict timelines and launching products
• Experience in productizing deep learning applications in automotive domain
• Software development for safety critical systems (ISO 26262)