ADAS Development - SIT, PERCEPTION & Collison Avoidance Professional

Embitel Technologies; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Embitel Technologies is seeking an experienced C++ Developer for ADAS-related situation interpretation and collision threat assessment. You will build and integrate software that interprets sensor data, tracks objects, and evaluates collision risks for front and rear ADAS functions.

The role emphasizes real-time performance, software design, testing, and collaboration with Perception, Sensor Fusion, Prediction, and Motion Planning teams.

Qualifications

• Strong hands-on experience with modern C++ (C++17/20) in automotive-style software.
• Experience with real-time and performance-critical software development.
• Familiarity with perception/sensor-fusion data pipelines is a plus.

Responsibilities

• Develop and maintain C++ software components for situation interpretation and collision threat assessment in ADAS/AD systems.
• Process inputs from perception and sensor-fusion components, including object lists, tracking, and lane information.
• Analyze simulation or vehicle data to identify false positives/negatives and improve robustness.

Skills

C++17/20

Multithreading

Memory management

STL

Design patterns

Git & CI/CD

Real-time software

Debugging & optimization

C++ Debugging

Education

Bachelor's degree in Computer Science or related

Tools

Google Test/Google Mock

CI/CD tooling

Job description

Developer - Situation Interpretation Collision Threat Assessment for ADAS

Role Overview

We are looking for an experienced C++ Developer to join the ADAS/Automated Driving software development team, focusing on situation interpretation, environment understanding, and collision threat assessment. The role involves developing and integrating software components that interpret information from vehicle sensors and perception systems, understand the surrounding driving situation, and assess potential collision risks and threats for advanced driver assistance functions like front and rear collision avoidance systems. The ideal candidate will have strong expertise in modern C++ development, automotive software engineering, ADAS/AD concepts, and experience working with the Automotive SW development experience ecosystem. Experience with perception, object tracking, prediction, risk assessment is highly desirable.

Key Responsibilities

• Develop and maintain C++ software components for situation interpretation and collision threat assessment in ADAS/AD systems.
• Implement algorithms to analyse the vehicles surrounding environment and identify potential collision scenarios and safety-critical situations.
• Process and interpret inputs from perception and sensor-fusion components, including:
  • Object lists
  • Object classification
  • Object tracking
  • Object positions and velocities
  • Lane and road information
  • Ego-vehicle state
  • Traffic/environment information
• Develop algorithms for collision risk assessment, including:
  • Time-to-Collision (TTC)
  • Time-to-React / Time-to-Impact concepts
  • Relative distance and velocity analysis
  • Collision probability/risk estimation
  • Path/lane conflict assessment
  • Cut-in, cut-out, crossing and merging scenarios
• Contribute to situation interpretation and scene understanding, transforming low-level perception information into meaningful driving situations.
• Develop and maintain software for detecting and evaluating dynamic and static obstacles and their potential interaction with the ego vehicle.
• Support the definition and implementation of ADAS safety-relevant use cases and functional requirements.
• Integrate software components within the development environment.
• Work closely with teams responsible for:
  • Perception
  • Sensor Fusion
  • Prediction
  • Motion Planning
  • System Engineering
  • Verification Validation
• Perform software design, implementation, debugging, unit testing, and integration testing.
• Analyze simulation and vehicle-test data traces to identify false positives, false negatives, and corner cases in collision-threat assessment.
• Support SIL/MIL/HIL and vehicle-level testing of ADAS functions.
• Participate in code reviews and ensure compliance with automotive software development standards and coding guidelines.
• Contribute to continuous improvement of algorithms, software architecture, performance, robustness, and maintainability.

Required Technical Skills

C++ / Software Development

• Strong hands-on experience with C++17/C++20 or equivalent modern C++.
• Strong understanding of:
  • Object-oriented programming
  • STL
  • Templates
  • Smart pointers
  • Multithreading/concurrency
  • Memory management
  • Exception handling
  • Design patterns
• Experience developing real-time and performance-critical software.
• Good knowledge of software development, debugging, profiling, and optimization.
• Experience with Git and modern CI/CD development environments.

Strong understanding of one or more of the following

• Environment perception
• Object detection and tracking
• Situation interpretation
• Scene understanding
• Object prediction
• Collision avoidance
• Collision threat assessment
• Lane/road model interpretation

Hands-on knowledge of concepts such as

• Relative position, velocity and acceleration
• Longitudinal and lateral collision risk
• Object trajectory intersection
• Predicted collision point
• Collision probability
• Safe distance / safety margins
• Cut-in and crossing-object scenarios
• Pedestrian and cyclist interaction
• Vehicle-to-vehicle and vehicle-to-object collision scenarios
• False-positive and false-negative analysis
• Edge-case and corner-case handling

Testing Validation

• Experience with unit testing and integration testing of C++ software.
• Familiarity with frameworks such as Google Test/Google Mock.
• Experience with simulation-based validation of ADAS functions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.