Custom Software Engineer

Overview

Develop custom software solutions for automotive ADAS applications by designing, coding, enhancing, and integrating software components across systems. Use modern frameworks and agile practices to deliver scalable, high-performing solutions aligned with business and functional requirements.

What you'll do

• Design and implement ADAS application software in C++ and Python for ACC, LKA, AEB, FCW, BSD, and RCW features per OEM Tier 1 functional requirements.
• Develop and optimize sensor fusion algorithms integrating camera mono, stereo radar 77 GHz, and LiDAR data for object detection and tracking.
• Integrate ADAS feature software with AUTOSAR Adaptive and Classic middleware layers and vehicle communication stacks including CAN, CAN FD, Ethernet, SOME/IP.
• Execute software unit testing and component integration testing with traceability to system requirements using VectorCAST, Google Test, or equivalent tools.
• Perform code reviews, ensure compliance with MISRA C++ 2023 automotive coding standards, and conduct static analysis using Polyspace or LDRA.
• Collaborate with system engineers to refine requirements and create software design specifications aligned with ASPICE SWE 1 to SWE 3 process areas.
• Debug and resolve software defects identified during HIL, SIL, and on-vehicle testing using hardware debug tools and trace analysis.
• Support ASPICE-compliant documentation including SRS, SDD, test plans, test reports, and change management records.
• Participate in Agile SCRUM ceremonies including sprint planning, daily stand-ups, retrospectives, and delivery commitments.
• Collaborate with OEM Tier 1 stakeholders during integration milestones and feature demonstrations.

What you'll need

• Minimum 3 year(s) of experience is required.
• Minimum 4 years of experience in ADAS Automotive Embedded SDV domain.
• BE, BTech, ME, or MTech in Electronics, Electrical, Computer Science, Mechatronics, or Automotive Engineering.
• 15 years of full-time education is required.
• Strong proficiency in C++ and Python with automotive embedded software development experience in the ADAS domain.
• Knowledge of ADAS algorithms including object detection, multi-sensor tracking, path prediction, and scene understanding.
• Understanding of AUTOSAR Adaptive and Classic Platform architecture, software component design, and service interfaces.
• Experience with camera ISP, CV pipelines, radar 77 GHz, CAN, Ethernet, or LiDAR sensor data processing.
• Knowledge of ISO 26262 Functional Safety principles, ASIL B and C, and SOTIF ISO 21448 concepts.
• Hands-on experience with MATLAB Simulink for model-based algorithm prototyping and verification.
• Experience with Git, CI/CD pipelines, CMake build systems, and static analysis tools.

Nice to have

• Familiarity with OpenCV, Eigen, and PCL Point Cloud Library for perception algorithm development.
• Knowledge of CARLA, LGSVL, or IPG CarMaker simulation environments for ADAS scenario testing.
• Understanding of CAN, CAN FD, and Ethernet SOME/IP and DDS vehicle communication protocols.
• Awareness of ASPICE SWE process area documentation requirements.

Details

• This position is based at the Pune office.