Senior Engineer - Deep Learning/AIML

Daimler AG; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Daimler AG in Bengaluru is seeking a Senior Engineer to lead perception-driven algorithm development for AI production stacks powering perception, decision-making, and safety-critical automotive systems.

The role covers end-to-end design, implementation, and optimization of perception algorithms with emphasis on production-grade robustness and cross-functional collaboration.

Qualifications

• Education: Bachelor’s or Master’s in Computer Vision/Computer Science or related fields.
• Core Experience: 3-6 years of experience in developing Computer Vision algorithms, specifically focusing on real production grade scenarios.
• Strong expertise in Python and libraries like OpenCV, SciPy, and PyTorch.
• Know how of SOTA CNNs, ML/DL Model training using large scale datasets – both real and artificial datasets.
• Strong understanding of Camera ISP (Image Signal Processor) pipelines, including exposure control, gain, and white balance and how IQ parameters & real time environments affect algorithm performance.
• Know-how of ML processes for algorithm development.

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.

Skills

Python

OpenCV

SciPy

PyTorch

CNNs

ML/DL training

Camera ISP pipelines

ML processes

Education

Bachelor’s or Master’s in Computer Vision/Computer Science

Job description

Aufgaben

Job Title: Senior Engineer – AI/ Deep Learning /Computer Vision

Level: T8 (Senior 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: 3-6 years of experience in developing Computer Vision algorithms, specifically focusing on real production grade scenarios
• Technical Skills:
  • Strong expertise in Python and libraries like OpenCV, SciPy, and PyTorch
  • Know how of SOTA CNNs, ML/DL Model training using large scale datasets – both real and artificial datasets
  • 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.