Recogni

Data Engineer - Perception

Job description

About Recogni
Recogni’s mission is to design the world's fastest, lowest-latency and most efficient AD ML compute system. The system will deliver unprecedented inference performance through novel edge processing, allowing vehicles to see farther and make driving decisions faster than humans while consuming minimal amounts of energy.
Backed by GreatPoint Ventures, Celesta, Mayfield, Toyota AI Ventures, BMW i Ventures, Bosch, Continental and other leading VC partners, the company is headquartered in San Jose, California with additional operations in Munich, Germany.
About the role

As a data engineer at Recogni you will conceptualize, develop and excute a data strategy for the training of our AI-vision stack in direct alignment with our product strategy. From Stereo 3D object detection, over panoptic segmentation all the way to kalman filter multiple-object-tracking - your efforts and the data they yield will be an integral part of building an end-to-end state-of-the-art autonomous drive perception stack, inspired but not limited by and out-performing today’s approaches to prove to our customers that they can get to full autonomy within a commercially and technologically viable envelope, using Recogni technology.

Responsibilities
  • Data Acquisition Concepts and Guidelines
  • Data Annotation Guidelines
  • Data/ML concept and development for more elaborate approaches such as automated labeling or active learning
  • Data pre-processing steps (prior to NN ingestion)
  • Release your work aligned with our in-house libraries as well as in compliance with automotive safety standards
  • Coordinate with other departments (silicon, embedded software, sensors, product)
  • Pro-actively maintain up-to-date knowledge of our field through papers, blogs, conferences, meetups

Qualifications

  • Master or higher degree in Electrical Engineering, Data Engineering, Robotics, Computer Science or AI
  • 2+ years of successful experience in building and releasing AI-centric automotive vision functionality
  • Ability to grasp end-to-end system dependencies in order to design an aligned data strategy
  • Ideally: Experience in working in compliance with functional safety standards such as ISO 26262/ASIL
  • Ideally: Experience with hyrbid real-synthetic-data strategies
  • Very familiar with/fluent in the latest versions of the following tech stack (ordered by relevance):
    • TensorFlow, Python, Git(Hub/Lab), PyTorch
    • GCP, Google TPU, Nvidia (TensorRT), ClearML
    • CUDA, C++
  • Solid knowledge/experience in the fields of:
    • Object Detection, Semantic Segmentation and the training of such networks
    • Multiple sensor modalities (vision and LiDAR, ideally also Radar)
    • Data Annotation
    • Data Acquistion
    • Dealing with labeling companies

Why you might want to join the Recogni team

  • Ground floor opportunity with the team; be part of shaping one of the most exciting new companies.
  • Learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields, from Artificial Intelligence & Computer Vision to Systems & Device Engineering to Support & Operations
  • Beautiful modern work space.
  • Perks including meals, snacks, drinks, gym, conference attendances and us!
  • Sharp, motivated co-workers in a fun office environment
  • Employee Stock Purchase Plan

Recogni's culture was built on the following values that are equally important to us as business:

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make Each Person Better together than they would be as an individual.
  • Embrace each others’ differences.
  • Embrace that there will be differences.

Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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