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Location
In office (Pune)
Seniority
Staff · 6+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Oct 31, 2026.

Overview
Company
Impact
Profile match
PACCAR is a global truck manufacturer whose brands include Kenworth, Peterbilt and DAF. Its technology teams build embedded and application software for vehicles and for manufacturing, robotics and engineering systems, including a centre in Pune. The company was founded in 1905 and is headquartered in Bellevue, United States.

Requisition Summary:

PACCAR India is seeking a skilled Senior Software Engineer to join its dynamic Pune team, an Automotive Designer supports model-based vehicle configuration and performance analysis for heavy-duty vehicle programs, enabling technically sound, compliant, and customer-focused vehicle solutions across conventional and emerging powertrain technologies.

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:

  • Lead EV and hybrid driveline design and performance modeling for heavy-duty vehicles.

  • Own system-level driveline design decisions and provide technical direction for implementation activities across vehicle configuration and performance modelling solutions.
  • Provide technical leadership to implementation engineers through design reviews, solution guidance, and validation of engineering deliverables.
  • Define modelling approaches, engineering methodologies, and technical standards to ensure consistency and quality across vehicle configuration solutions.
  • Perform vehicle performance analysis and simulations to evaluate design feasibility, compliance, customer requirements, and support engineering decision-making.
  • Define and maintain calculation logic supporting vehicle configuration and performance assessments.
  • Influence design and product decisions through analysis, recommendations, and stakeholder collaboration.
  • Work closely with Engineering, Testing, Quality, Sales, and Product teams to drive successful outcomes.
  • Lead validation activities and ensure solutions meet quality and functional expectations.
  • Review vehicle performance data and identify opportunities for improvement.
  • Drive continuous improvement in tools, processes, and engineering practices.
  • Maintain technical documentation and design records.
  • Support Sales and Product teams by translating technical requirements into customer-focused vehicle solutions.

Qualification:

  • Master’s or Bachelor’s degrees in automotive engineering, Mechanical Engineering, Mechatronics Engineering, or related field

Required Skills:

Technical / Professional Experience Requirements: 6 to 10 Years

Domain:

  • Heavy-Duty Vehicle Systems
  • Vehicle Layout and Packaging
  • Driveline and Powertrain systems
  • Chassis and Superstructure Design
  • Regulatory Compliance

Primary Skill:

  • Model-Based Systems Engineering (MBSE) and system design;

  • MATLAB/Simulink;
  • Dynamic and Static System Modeling;
  • Vehicle Performance Analysis;
  • Heavy-Duty Vehicle Systems;
  • Requirements Management;
  • Verification and Validation;
  • Test Case Design and Analysis;
  • System Modeling and Simulation.

Secondary Skills: Control Algorithm Fundamentals; TCO Analysis;Engineering Lifecycle Management; Performance Reporting; Technical Documentation.

COMPETENCIES AND BEHAVIORS:

  • Strong analytical and structured problem-solving skills.
  • Ability to evaluate complex system interactions and engineering trade-offs.
  • Effective communication and stakeholder collaboration skills.
  • Ability to work across multidisciplinary engineering teams.
  • Demonstrates accountability for engineering deliverables and outcomes.
  • Focus on quality, validation, and continuous improvement.
  • Root cause analysis and data-driven decision-making capability
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