Applied Computer Vision Engineer- Automated Driving - 2024

Job Description 

The Video Perception (ViPER) team is responsible for developing cuttingedge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing endtoend 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 highperformance video perception systems.  

We are looking for a talented & driven engineers to join our Retrieval team within ViPER which is responsible for building highperformance systems to ingest and retrieve largescale 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 largescale 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 edgecase 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 visionbased algorithms prior knowledge of working with deep neural networks is a strong plus. 

• Skilled software engineer with experience in Python/C coupled with strong problemsolving skills. 

• Passionate about solving realworld 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 fastpaced 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 & Selfsupervised learning & Transfer Learning CNNs and transformers Realtime model deployment and optimization Data augmentation and annotation Scene understanding and 3D perception Active learning and Semiautomated 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/

Additional Information :

4 years

Remote Work :

No

Employment Type :

Fulltime