Devops - ADA

Role Overview

We are looking for a highly motivated ADAS Software Engineer to join our team working on the Automated Driving Alliance (ADA).

Key Responsibilities

• Develop and maintain end-to-end ADAS software components from requirements through validation.
• Design, develop, integrate, and validate AOS gateway executables and middleware components.
• Contribute to release integration and validation using artifact repositories and Bazel modules.
• Support L2/L3 ADAS safety concept development and implementation.
• Perform safety analysis, plausibility checks, anomaly detection, and cross-fusion validation.
• Define and implement engineering KPIs and criticality metrics.
• Develop dashboards and reporting solutions using Dash and Grafana.
• Support CI/CD defect management and continuous integration development using Jenkins and GitHub Actions.
• Collaborate with cross-functional engineering teams to ensure software quality and compliance.
• Maintain technical documentation and support software release activities.

Mandatory Skills

Programming

• Python (Expert)
• C++ (Expert)
• Embedded C
• Scripting

AI Machine Learning

• AI API Integration
• Machine Learning Concepts
• PyTest

Infrastructure Cloud

• Microsoft Azure Cloud
• Workflow Engines

DevOps CI/CD

• GitHub
• GitHub Actions
• Azure DevOps
• Jenkins
• Docker
• Conan
• Bazel

Monitoring Observability

• Azure Monitor
• Grafana

Cloud

• Azure
• AWS (Basic Exposure Preferred)

Technical Responsibilities

AOS Middleware

• AOS Gateway Development
• AOS Executable Development
• Repository Integration
• Bazel Module Integration
• Software Validation

ADAS L3

• Safety Analysis
• Functional Safety Concept Development
• Plausibility Checks
• Trajectory Validation
• Anomaly Detection
• Cross-Fusion Validation

ADAS L2

• KPI Definition Implementation
• Criticality Analysis
• Dashboard Development
• Grafana-based Monitoring
• CI/CD Defect Management
• Jenkins Pipeline Development

Preferred Qualifications

• Experience in ADAS or Autonomous Driving projects
• Understanding of Functional Safety (FuSa)
• Experience with Software Integration and Validation
• Knowledge of Continuous Integration and Release Engineering
• Exposure to AI-powered automotive software development
• Experience with cloud-native engineering workflows

Competencies Skills

• Strong analytical and problem-solving skills
• Excellent debugging and troubleshooting capabilities
• Good understanding of software architecture and integration
• Strong communication and collaboration skills
• Ability to work in distributed cross-functional teams
• Ownership mindset with focus on quality and reliability
• Experience in Agile software development methodologies

Nice to Have

• Functional Safety (ISO 26262) exposure
• Automotive SPICE (ASPICE) knowledge
• Autonomous Driving domain experience
• Dashboard development using Dash
• Azure AI services
• AWS cloud exposure
• Release engineering and artifact management
• Monitoring and observability frameworks
• Performance optimization techniques
• Experience working on Software Defined Vehicle (SDV) platforms

Educational Qualification

• B. E. /B. Tech or M. E. /M. Tech in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related field.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.