Job Title: Engineer – AI/ Deep Learning /Computer Vision
Level: T9 (Research Engineer)
Location: Bangalore
Role Overview
We are seeking Algorithm Engineer with strong skills in perception-driven algorithm development to join our Algo Dev team. In this role, you will take ownership of the end-to-end design and implementation of perception algorithms contributing directly to our AI production stack to deliver a highly efficient AI solution that powers perception, decision-making, and safety-critical systems in next-generation vehicles.
Key Responsibilities
· Research & Implementation: Benchmark SOTA algorithms in the latest research space & devise novel and compute-efficient perception-based algorithms
· Algorithm Development for production quality: Design and implement robust Computer Vision Algorithms that are robust to diverse scenarios - changing exposure, variable lighting conditions, human articulations etc.
· Debug complex issues, conduct thorough root cause analysis, and ensure the performance, robustness, and reliability of perception algorithms across the AI production stack
· Collaborate with cross-functional teams, distributed globally, to deliver robust and scalable AI algorithms
· Strong documentation of research work compliant with AI process standards – EU AI Act, ASPICE ML Process etc.
Minimum Qualifications
· Education: Bachelor’s or Master’s in Computer Vision/Computer Science or related fields
· Core Experience: 1-2+ years of experience in developing Computer Vision algorithms, specifically focusing on real production grade scenarios
· Technical Skills:
o Strong expertise in Python and libraries like OpenCV, SciPy, and PyTorch
o Know how of SOTA CNNs, ML/DL Model training using large scale datasets – both real and artificial datasets
o Strong understanding of Camera ISP (Image Signal Processor) pipelines, including exposure control, gain, and white balance and how IQ parameters and real time environments affect
algorithm performance
· Know-how of ML processes for algorithm development
Preferred Qualifications
· Experience developing and delivering production grade perception algorithms in Automotive domain
· Strong in fundaments of Perception/ Computer Vision/ Deep Learning/ VLMs / Gen AI
· Strong understanding of performance metrics, benchmarking, and error analysis for perception systems
· Experience in optimizing models for runtime performance, including latency, memory footprint, and deployment constraints on edge/embedded systems
· Publication Record: Published research in top-tier journals or conferences (e.g., CVPR, ICCV) and/or having filed/granted patents in Automotive domain
· Experience working with algorithm development with diverse camera modalities – RGB, NIR, FIR, Depth etc.
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