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Autonomous Vehicle Simulation Engineer

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Onsite

Autonomous Vehicle Simulation Engineer

CS Tech AI

Autonomous Vehicle Simulation Engineer

Skills

DockerPythonMATLABGitHubLinuxJira

2 months ago

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Important information


Location:

Tamil Nadu, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Location: Client location, Chennai
Experience: 3+ years
Open positions: 01

Role Summary

We are seeking an Autonomous Vehicle Simulation Engineer to develop and validate Software-in-the-Loop (SIL) simulation models for vehicle movement and path-following applications in manufacturing environments. The role requires hands-on expertise in vehicle dynamics, model-based development and automated validation. The engineer will collaborate with multidisciplinary infrastructure, safety, manufacturing and software teams to support reliable pre-deployment validation of vehicle-level software releases.

Key Responsibilities

  • Own simulation development from concept, architecture and planning through validation and delivery.
  • Design virtual environments that reproduce wireless trajectory commands, vehicle path-following manoeuvres and plant-level operating constraints.
  • Develop real-time motion models for lateral and longitudinal vehicle control with high positional accuracy.
  • Create factory-floor scenarios covering traffic, layouts, infrastructure constraints, commissioning, calibration and pre-deployment validation.
  • Build efficient, maintainable and well-tested simulation models and scripts using MATLAB/Simulink, Python or equivalent toolchains.
  • Develop automated metrics for simulation fidelity, feature performance and test-result extraction.
  • Validate simulated behaviour against physical test-vehicle or fleet data and document deviations and recommendations.
  • Model safety-critical scenarios aligned with functional-safety requirements, including ASIL-D expectations where applicable.
  • Integrate containerised tools, plant/controller models and virtual test environments into a scalable simulation architecture.
  • Support simulation-driven digital-twin and pre-validation activities for manufacturing deployments.
  • Participate in Agile ceremonies and prepare clear test reports, issue summaries, recommendations and weekly progress updates for cross-functional stakeholders.

Required Technical Skills

  • Strong hands-on experience in MATLAB, Simulink and Python.
  • Experience developing simulation models for vehicle motion, trajectory tracking or path-following validation.
  • Working knowledge of Software-in-the-Loop (SIL) testing and model-based development workflows.
  • Experience with scenario creation, validation, automated testing and metric extraction.
  • Exposure to simulation and visualisation platforms such as CARLA, RoadRunner and Foxglove.
  • Working knowledge of Git/GitHub, Docker and Ubuntu/Linux environments.
  • Basic understanding of automotive electrical/electronic architectures and vehicle-level software integration.
  • Working knowledge of ISO 26262 and ASIL concepts for safety-critical test coverage.
  • Understanding of wireless and network technologies such as 5G, V2X/C-V2X and TCP/IP.

Preferred Experience

  • Simulation or validation of autonomous or semi-autonomous vehicle functions.
  • Manufacturing automation, factory logistics or autonomous vehicle movement within plant environments.
  • Digital-twin modelling and comparison of virtual results with physical-vehicle data.
  • Bi-weekly or similarly frequent software-release validation cycles.
  • Automated reporting, issue tracking and test integration with tools such as Jira.

Behavioural Competencies

  • Data-driven judgement: Able to recommend a no-go decision based on objective validation evidence while maintaining constructive stakeholder relationships.
  • Systems thinking: Able to connect simulation models, containerised applications, communication interfaces and virtual test environments.
  • Agile resilience: Calm, structured and methodical when working within frequent release cycles and changing priorities.
  • Communication: Able to explain technical findings clearly to software, safety, infrastructure and manufacturing stakeholders.
  • Ownership: Proactive in investigating issues, proposing corrective actions and driving tasks through closure.

Key Deliverables

  • Validated SIL simulation models and representative virtual plant scenarios.
  • Automated simulation scripts, performance metrics and repeatable test workflows.
  • Release-validation reports with traceable results, issues and recommendations.
  • Comparison of simulation outcomes with available physical test or fleet data.
  • Technical documentation covering assumptions, interfaces, limitations and validation evidence.
  • Timely weekly and milestone-based status reporting.

Additional Expectations

  • The role is primarily an individual-contributor position within a cross-functional engineering team.
  • Candidates should be comfortable working onsite and supporting shift-based infrastructure utilisation when required.
  • The engagement covers software engineering, simulation and validation; delivery of physical hardware is outside the role scope.

Send your CVs to [email protected]

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