Apply for Valeo Off Campus Drive 2025! Hiring Software Engineer Job in Chennai for 2-5 years for radar‑based driver assistance systems. Work on embedded signal processing, CAN/LIN/FlexRay, MATLAB/C, and safety‑critical automotive software to improve intuitive driving and reduce CO2 emissions in next‑gen vehicles.
Candidates who are interested in Valeo Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Software Engineer job
Company: Valeo
Qualifications: BE/BTech/MTech
Experience Needed: 2-5 years
Job Req ID: REQ2025066065
Location: Chennai
Job Description
Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Ideally experience in Automotive development, driving assistance systems (Radar preferable) or
Embedded Systems
Perform signal analysis and documentation to derive insights from recorded data.
Develop and optimize signal processing algorithms using MATLAB or C.
Conduct SW testing and analysis of code on simulators.
Experience or exposure to Signal Processing, Detection and Estimation
Know-how in vehicle bus systems like (CAN, LIN, FlexRay)
Automotive experience with practical experience, if possible, with data recording in vehicle on e.g.
CANoe, ADTF
Good knowledge of requirements management tools (e.g. DOORS)
Soft skills:
proactive, flexible, strong in communication, team-minded, mindset of continuous improvement, efficient
Developing innovative and safety-critical software and components for driver assistance systems (focus
on Radar)
Definition of the software behaviour and the Radar performance in cooperation with the System team
and the customer
Responsible for software function analysis of the requirements for the driver assistance system, the
functions.
Analysis of the link of the component properties (sensor, brakes, steering) on software performance
Troubleshooting of software integration with prototype vehicles and the series production
Presentation of software performance to customers and management
How to Apply Valeo Off Campus Drive 2025
Click on Apply to Official Link Valeo Below – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Explain the signal processing pipeline for an automotive radar (from raw ADC samples to object detection and tracking).
- How would you design and optimize a radar signal processing algorithm (e.g., range‑Doppler FFT, CFAR detection) in MATLAB and then port it to C for embedded use?
- Describe your experience with Detection and Estimation theory and how it applies to radar‑based driver assistance (e.g., thresholding, false alarm vs detection trade‑offs).
- How do you perform signal analysis on recorded in‑vehicle data (CANoe/ADTF logs) to debug radar performance issues such as ghost targets or missed detections?
- Explain the differences and typical use cases of CAN, LIN, and FlexRay in modern vehicles, and how radar ECUs communicate over these buses.
- Walk through your approach to writing and executing software tests on simulators for safety‑critical ADAS functions before integrating into prototype vehicles.
- How would you analyze the impact of sensor, brakes, and steering component properties on overall ADAS software performance and safety margins?
- Describe a time you used requirements management tools (like DOORS) to manage functional and performance requirements for an automotive software component.
- How do you troubleshoot software integration issues when radar functions behave differently in bench simulation vs real vehicle tests?
- Give an example of how you collaborated with system engineers and customers to define software behaviour and performance KPIs for a driver assistance feature.
Selection process
- Shortlisting based on strong embedded/automotive/DSP background with radar or ADAS exposure, plus tools like MATLAB/C, CANoe/ADTF, and requirements management.
- Technical interviews on radar fundamentals, signal processing, vehicle bus systems, embedded C/MATLAB coding, and safety‑critical software practices.
- Practical case discussions on analysing recorded vehicle data, debugging ADAS issues, and assessing the influence of mechanical components on software behaviour.
- Fit/behavioural round to assess proactiveness, communication, teamwork, and a continuous‑improvement mindset aligned with Valeo’s vision of greener, safer mobility.
Pro Tip
Prepare a concise portfolio showing:
- One radar or signal‑processing project (range/Doppler, tracking, or sensor fusion) with MATLAB plots and an embedded or C implementation.
- One automotive communication or logging project using CAN/CANoe (or simulated) where you decoded messages and linked them to system behaviour.
- Be ready to whiteboard a simplified radar processing chain, explain Detection and Estimation choices, and walk through how you would analyse and fix a real‑vehicle ADAS issue using logged data.
