Applied Computer Vision Engineer- Automated Driving - 2024

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/

Additional Information :

4 years

Remote Work :

No

Employment Type :

Full-time