Senior Systems Engineer (Vehicle Performance & Testing)

PACCAR; Pune District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

PACCAR India is seeking a Senior Systems Engineer to support vehicle testing through data analysis of field and test-vehicle data, enabling data-driven engineering decisions and development of load collectives.

You will drive end-to-end testing, assess interactions between vehicle systems, ECUs, and ADAS, lead RCA and risk mitigation, and collaborate across engineering teams to ensure program success.

Qualifications

• 5–8 years of relevant engineering experience in vehicle testing
• Ability to validate vehicle systems against requirements through structured testing
• Knowledge of diagnostic tools and test methodologies
• Understanding of ADAS features and system validation
• Strong analytical and problem-solving skills

Responsibilities

• Conduct end-to-end vehicle testing and validation across programs
• Assess interactions between vehicle systems, ECUs, and subsystems
• Drive data-driven decisions from test results for product development
• Lead root cause analysis and corrective actions for issues
• Identify and mitigate technical risks in testing and validation
• Influence design improvements and validation strategies
• Develop dashboards and analytics to enhance efficiency
• Collaborate with engineering, validation, calibration, software and customer teams

Skills

Vehicle testing & validation

Data analysis & visualization

ADAS/ECU interactions

Root cause analysis

Cross-functional collaboration

Test lifecycle planning

Education

Bachelor's/Master's in Mechanical/Automotive Engineering

Tools

Power BI

Python

MATLAB

MySQL

Excel (Macros)

ALM Quality Center

IBM DOORS Next Gen

V-Model

Job description

Requisition Summary:

PACCAR India is looking for a skilled Senior Systems Engineer to supports vehicle testing activities through analysis of field and test vehicle data, enabling development of load collectives and data-driven engineering decisions.

At PACCAR, you’ll be part of a purpose-driven organization known for engineering excellence, innovation, and a strong commitment to employee growth and well-being. We foster a collaborative, inclusive environment where your ideas are valued, your contributions make a real difference, and your career can thrive as you help build world-class products that power the future of transportation.

Job Function / Responsibilities:

• Conduct end-to-end vehicle testing and validation activities across vehicle, component, rig, and fleet-level programs, ensuring accurate evaluation of vehicle performance, durability, and functional targets.
• Apply system-level thinking to assess interactions between vehicle systems, ECUs, ADAS functions, and subsystems, identifying impacts on overall vehicle performance, drivability, reliability, and customer experience.
• Drive technical decision‑making through data-driven analysis, interpreting vehicle, fleet, and emission test results to provide actionable recommendations for product development and validation.
• Lead root cause analysis and problem resolution by investigating vehicle performance issues, system faults, and test anomalies, identifying corrective actions and supporting continuous product improvement.
• Identify and mitigate technical risks associated with vehicle testing, validation, fleet operations, and system integration activities, ensuring timely escalation and resolution of critical concerns.
• Influence technical direction by providing engineering insights and performance assessments that support design improvements, validation strategies, technology enhancements, and future product development decisions.
• Drive innovation in testing and data analytics by developing and improving dashboards, reporting solutions, analytical methods, and validation approaches that enhance engineering efficiency and decision quality.
• Lead stakeholder engagement and cross-functional collaboration with engineering, validation, calibration, software, controls, and customer teams to align testing objectives, communicate findings, and support successful program execution.

Qualification:

• Bachelors/Masters degree in Mechanical / Automobile / Automotive Engineering or related field

Required Skills:

• Technical / Professional Experience Requirements: 5 to 8 Years
• Primary Skills
  • Experience in planning, executing, and analysing vehicle tests to verify system performance, functionality, and compliance with requirements.
  • Ability to validate vehicle systems against customer, regulatory, and engineering requirements through structured testing and evaluation.
  • Knowledge of vehicle diagnostic tools and techniques to identify, isolate, and resolve system faults and performance issues.
  • Understanding of vehicle behaviour, handling, stability, ride quality, and performance characteristics under various operating conditions.
  • Familiarity with ADAS features such as adaptive cruise control, lane keeping, collision avoidance, sensor technologies, and system validation.
  • Root Cause Analysis (RCA): Identify underlying causes of issues and drive effective corrective actions
• Technical / Professional Experience Desired:
  • Proficiency in Power BI developing interactive dashboards, reports, and advanced data visualizations to enable data-driven decision‑making.
  • Experience in Python & MATLAB Scripting for data analysis, automation, simulation, and modelling.
  • Ability to transform complex datasets into clear, meaningful, and actionable visual insights using industry-standard tools.
  • Ability to design, query, and manage relational databases to support efficient data storage, retrieval, and analysis using MySQL
  • Advanced Excel for data analysis, reporting, visualization, and process automation using formulas, macros, and pivot tables.
  • Experience in managing requirements and end-to-end test lifecycle activities using ALM Quality Center.
  • IBM DOORS Next Generation (DNG): Proficiency in capturing, managing, tracing, and maintaining requirements throughout the product development lifecycle.
  • Understanding of the V-Model framework, ensuring systematic alignment between requirements, design, implementation, verification, and validation activities.
  • Certifications: Certification or expertise in AI and Machine Learning will be considered an added advantage

Competencies and Behaviours:

• Working with Ownership & Accountability. Taking responsibility for assigned work packages, deliverables, and technical decisions within the defined scope.
• Apply structured thinking and strong analytical skills to identify issues, evaluate options, and deliver effective solutions.
• Demonstrates effective verbal and written communication while working seamlessly across multidisciplinary and cross-functional teams.
• Effectively managing stakeholder expectations, prioritizes work, and balances multiple tasks to meet project timelines and objectives.
• Exhibits learning agility, embraces new technologies and methodologies, and adapts quickly to evolving project needs and environments.
• Maintains a strong commitment to quality, process compliance, continuous improvement, engineering excellence, and alignment with customer and business objectives.