Perception Lead Engineer en Woven-by-toyota

TEAMAt Woven by Toyota, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision.WHO ARE WE LOOKING FORThe Perception team is looking for a Lead Engineer to join us in developing a state-of-the-art perception system for autonomous driving. In this role, you will lead the development and deployment of machine learning models, provide technical guidance and mentorship to the team, and help shape the direction of our perception capabilities. Your work will be deployed on our next-generation autonomous vehicle platform and, ultimately, to millions of Toyota production vehicles.We recognize the unique capabilities each team member brings and encourage applicants to reach out even if they do not match all of the characteristics described below.

RESPONSIBILITIES

Lead perception ML model R&D by prototyping, validating, and iterating on existing and new model architectures, setting direction and best practices for the team.

Own end-to-end development of new ML models, from data strategy and initial development to optimization, production platform validation, and fine-tuning based on metrics and on-road performance.

Lead large, multi-person projects, shaping the overall Perception architecture and driving technical direction.

Mentor and enable other engineers through coaching, leading by example in writing high-quality code, conducting thorough code and design document reviews, and delivering rigorous ML experiment reports.

Drive agile development practices in a high-velocity environment, ensuring the team can adapt and deliver quickly.

Foster a collaborative, “get things done” mentality, promoting accountability and high performance across the team.

Collaborate with downstream stakeholders to define interfaces and requirements for the Perception stack.

Closely collaborate with Perception subteams to develop end-to-end solutions.

MINIMUM QUALIFICATIONS

MS, or higher degree, in CS/CE/EE, or equivalent in-industry experience.

5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow.

Extensive experience with machine learning and classification.

5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.

Strong programming skills in Python or C++.

Passionate about self driving car technology and its potential for humanity.

Experience in writing production level code in a real-time operating system.

Strong communication skills and ability to communicate concepts clearly and precisely.

NICE TO HAVES

Hands-on experience with building a perception stack for autonomous systems.

Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems. 

Experience with CUDA or OpenCL.

Experience with automotive grade compute platforms.

Experience with building safety-critical software architectures.

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