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Automotive Quality Engineering

Overview

Infosys, in collaboration with in-tech, delivers Automotive Quality Engineering solutions that help OEMs and Tier-1 suppliers build safer, reliable, and compliant next-generation vehicles. The solution integrates functional safety, crashworthiness, virtual validation, system-level testing, and AI-driven quality assurance to support software-defined vehicles, electric vehicles, ADAS, and connected mobility platforms.

With rising vehicle complexity, faster release cycles, and stringent safety regulations, automotive enterprises need robust engineering frameworks that ensure quality from concept to production. Infosys helps reduce validation risks, strengthen ISO 26262-aligned compliance, optimize testing cycles, and improve design confidence through simulation-led validation, multi-level testing, and intelligent automation—enabling safer mobility at scale.

Infosys, with in-tech, enables automotive enterprises to strengthen safety, quality, and compliance across software-defined, electrified, and connected vehicle programs. By combining functional safety expertise, virtual validation, AI-driven testing, and system-level engineering, the solution helps reduce risks, improve reliability, and accelerate safer mobility innovation.

Detailed Capabilities

  • Functional safety engineering aligned with ISO 26262
  • Hazard analysis, DFMEA/PFMEA, safety concept development, and compliance support
  • Crashworthiness, occupant safety, pedestrian safety, and durability simulation
  • CAE-led virtual validation to reduce physical testing cycles
  • MIL, SIL, HIL, ECU, system-level, and full-vehicle validation
  • AI-driven risk identification, failure analysis, and intelligent test case generation
  • ADAS, E/E architecture, sensor fusion, and autonomous system safety assurance
  • Continuous validation frameworks for SDV and EV programs

Explore how Infosys and in-tech can help build safer, smarter, and more reliable next-generation vehicles.

Automotive Quality Engineering by Infosys and in-tech helps OEMs and Tier-1s build safer, compliant, and reliable next-generation vehicles.

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  • Accelerate validation for software-defined, electric, and connected vehicle programs.
  • Strengthening compliance with global automotive safety standards such as ISO 26262.
  • Reduce physical testing cycles through CAE-led simulation and virtual validation.
  • Improve product reliability with multi-level testing across MIL, SIL, HIL, ECU, system, and vehicle levels.
  • Leverage AI-driven insights for predictive risk identification, intelligent test case generation, and continuous validation.
  • Enhance speed-to-market while reducing engineering risks and validation costs.
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Challenges & Solutions

Automotive enterprises can address this complexity by adopting an end-to-end quality engineering framework that brings together requirements validation, system-level testing, functional safety, software assurance, and vehicle-level verification. As SDVs, EVs, and connected platforms introduce more software, sensors, electronics, and cloud-enabled features, quality must be built into every stage of the lifecycle—from concept and architecture to integration, validation, and production release. Infosys and in-tech help organizations establish scalable validation models that improve traceability, reduce integration risks, and ensure safety, reliability, and compliance across the complete vehicle ecosystem.

OEMs and Tier-1 suppliers can reduce dependency on repeated physical testing by using CAE-led simulation, digital validation, and virtual prototyping earlier in the development cycle. These approaches help engineering teams identify design risks, evaluate crashworthiness, assess durability, and validate performance under multiple operating conditions before moving to physical prototypes. By combining simulation-led engineering with structured test planning and automated validation workflows, organizations can shorten test cycles, improve design confidence, optimize prototype usage, and reduce overall validation costs while maintaining high standards of safety and quality.

Automotive organizations can strengthen compliance by embedding functional safety practices across the full product development lifecycle and aligning engineering activities with standards such as ISO 26262. This includes hazard analysis and risk assessment, DFMEA/PFMEA, safety concept development, requirements traceability, verification planning, and compliance-ready documentation. Infosys and in-tech support safety lifecycle management by helping teams identify safety-critical functions, define mitigation strategies, validate system behavior, and maintain audit-ready evidence. This structured approach improves regulatory readiness while reducing the risk of late-stage quality or compliance issues.

Teams can improve risk visibility by using AI-driven analytics, predictive quality models, intelligent test case generation, and continuous validation practices across development and testing environments. These capabilities help detect patterns in defects, identify potential failure points earlier, prioritize high-risk scenarios, and support faster engineering decisions. By integrating data from simulation, testing, software validation, and field performance, Infosys and in-tech enable a more proactive quality engineering approach. This helps reduce rework, improve root-cause analysis, enhance release confidence, and support safer, more reliable vehicle programs.

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