Applied Computer Vision Engineer- Automated Driving - 2024

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