▷ [3 Days Left] Senior ADAS Function Development Engineer

3 weeks ago


Kochi, India RoshAi Full time

Senior ADAS Function Development Engineer

Location: Kochi, Kerala, India (Full-time)

Job Summary

We’re seeking a seasoned engineer with 6+ years of hands-on experience in advanced

driver-assist systems (ADAS) function development. You’ll own the end-to-end design,

implementation, and validation of perception and fusion algorithms across radar, LiDAR,

camera, and GNSS sensors.

Key Responsibilities

• Lead ADAS feature design, from requirements gathering through software integration

and validation

• Develop and optimize simulation environments using CARLA, NVIDIA Isaac Sim, IPG

TruckMaker, and MATLAB

• Configure and run dSPACE tool-chain workflows for HIL and SIL testing

• Integrate and validate sensor data streams (radar, LiDAR, camera, GNSS) and develop

fusion algorithms

• Collaborate with system architects, calibration engineers, and test teams to deliver

production-ready solutions

• Drive continuous improvement: code reviews, performance profiling, and

documentation

Required Qualifications and Experience

• Bachelor’s or Master’s in Electrical, Electronics, Computer Science, or Mechatronics

Engineering

• Minimum 6 years in ADAS function development (perception, tracking, fusion)

• Strong simulation expertise with industry tools:

o CARLA

o NVIDIA Isaac Sim

o IPG TruckMaker

o MATLAB/Simulink

• Hands-on experience with dSPACE tool-chain (ControlDesk, ConfigurationDesk, etc.)

• Sensor domain expertise:

o Radar: Continental, Bosch, Aptiv

o LiDAR: Ouster

o Cameras: stereo and monocular setups

o GNSS integration and data processing

• Proficiency in C/C++, Python, and ROS

Preferred Qualifications

• Prior work in automotive production projects or Tier-1 supplier environment

• Familiarity with version control (Git) and CI/CD for embedded systems

What We Offer

• Competitive salary and performance-based increment

• Professional development budget for conferences, certifications, and training

• Collaborative culture with cutting-edge projects in autonomous driving



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