Applied Computer Vision Engineer

38 Minutes ago • 4 Years +

Job Summary

Job Description

The Video Perception (ViPER) team is developing solutions for Advanced Driver Assistance Systems (ADAS). The team is responsible for creating end-to-end solutions by leveraging advancements in computer vision and deep learning. The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval & recommendation systems, and a strong understanding of deep learning fundamentals. You will be responsible for developing powerful search and indexing tools, and optimizing data pipelines for automating dataset curation for training & validation. This role involves working with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows.
Must have:
  • Bachelor's/Master's in Computer Science or related with 4 years experience.
  • Experience in designing and implementing vision-based algorithms.
  • Skilled software engineer with experience in Python/C++.
  • Passionate about solving real-world problems in autonomous driving systems.
  • Ability to build and iterate quickly with AGILE mindset.
  • Hands-on experience in production grade machine learning pipelines.
  • Good communication skills for explaining technical solutions.

Job Details

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Job Description 

The Video Perception (ViPER) team is responsible for developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing end-to-end solutions by leveraging the latest advancements in the field of computer vision/deep learning. Our goal is to drive the future of autonomous driving systems by providing reliable, high-performance video perception systems.  

We are looking for a talented & driven engineers to join our Retrieval team within ViPER which is responsible for building high-performance systems to ingest and retrieve large-scale driving data, critical for training and validating ADAS models. You will work closely with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features.  

The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval & recommendation systems, and a strong understanding of deep learning fundamentals. You will deploy tools & services which will be used to retrieve edge-case scenarios, be responsible for developing powerful search and indexing tools, and optimize data pipelines for automating dataset curation for training & validation. 

Requirements 

  • Strong technical background: At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing vision-based algorithms [prior knowledge of working with deep neural networks is a strong plus]. 

  • Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills. 

  • Passionate about solving real-world problems: Ideally worked on autonomous driving systems before. 

  • A team player: You take ownership and work with the team to deliver exceptional results. 

  • Ability to build and iterate quickly (AGILE mindset). You enjoy working in a fast-paced environment, and you are comfortable in all stages of a product development cycle. 

  • Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation & deployment. 

  • Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation.  

Skills 

  • Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised & Self-supervised learning & Transfer Learning, CNNs and transformers, Real-time model deployment and optimization, Data augmentation and annotation, Scene understanding and 3D perception, Active learning and Semi-automated data annotation techniques 

  • Hands on experience in Full stack Vision/Image related projects in production (3yrs min) 

  • Data: Visualization, Data preparation, Data handling, Data analysis & deriving insights 

  • Model frameworks: Tensorflow & PyTorch 

  • Deployment: Docker, Kubernetes 

  • Cloud deployment: Azure/AWS 

  • Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems  

Qualifications

B.E/B.Tech

Additional Information

4+ years

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