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Job Title :Perception Engineer – Autonomous Driving

Location : Bengaluru

Job Type: Full-time

Job Description :

We are looking for a Perception Engineer with over 4 years of experience in developing software for autonomous driving systems, camera/radar fusion, and edge AI devices. The ideal candidate will have hands-on experience in calibration, building Perception models, and deploying AI solutions on edge devices such as NVIDIA Jetson platforms using tools like OpenVINO, SPNE, and DeepStream SDK.

You will collaborate with a cross-functional team to deliver high-performance, real-time software solutions that power ADAS and autonomous driving features, ensuring efficient deployment on embedded and edge AI platforms.

Key Responsibilities:

-Software Development: Develop, optimize, and deploy software for ADAS and Autonomous Driving systems, camera/radar fusion, and sensor-based perception on edge AI platforms.

- Edge AI Development : Develop and deploy AI algorithms on edge AI devices, including NVIDIA Jetson platforms using Jetpacks, DeepStream SDK, and OpenVINO.

- Sensor Calibration: Manage the full process of integrating and calibrating sensors (camera, radar, LiDAR) for precise environmental perception.

- Camera/Radar Fusion: Develop and optimize fusion algorithms for multi-sensor data to ensure robust perception.

- Simulation with CARLA: Utilize the CARLA simulator for testing and validating autonomous driving features and algorithms in a simulated environment.

- Real-Time Processing: Ensure that the software developed for edge AI devices meets real-time performance standards with low latency and high efficiency.

- Cross-Disciplinary Collaboration: Work with hardware, systems, and AI engineers to integrate perception algorithms with vehicle control systems and edge devices.

- Testing & Validation: Use simulation and real-world environments to test, validate, and optimize autonomous driving systems and perception models.

- Compliance with Standards: Ensure all software solutions comply with automotive safety standards like ISO 26262 and adhere to ASIL levels.

Required Qualifications:

- Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.

- Experience:

 - 4+ years of experience in software development for autonomous driving systems and edge AI solutions.

 - Expertise in segmentation models for object detection and lane/scene understanding.

 - Proven experience with edge AI devices such as NVIDIA Jetson, OpenVINO, SPNE, and DeepStream SDK.

 - Experience with sensor fusion, calibration, and integration for camera, radar, and LiDAR systems.

- Programming Languages: Proficiency in C++, Python, and experience with frameworks like OpenCV, TensorFlow, and PyTorch.

- Embedded Systems & Edge AI: Deep understanding of embedded systems and deploying AI models on edge devices with real-time optimization.

- Simulation Tools: Expertise with the CARLA simulator for autonomous driving development and validation.

- Computer Vision & AI: Strong experience in developing computer vision and deep learning algorithms for perception systems.

Preferred Qualifications:

- Autonomous Parking Systems: Hands-on experience in building software for autonomous parking features like collision avoidance and path planning.

- Deep Learning for Edge Devices: Experience in deploying deep learning models, such as segmentation and object detection, on edge AI devices.

- Tools: Experience with Git, ROS, Jenkins, and other software development and continuous integration tools.

- Functional Safety: Familiarity with ISO 26262 standards and ASIL levels for automotive software.

- Jetson & Edge AI: Proven experience in optimizing and deploying AI models on NVIDIA Jetson platforms, using Jetpack SDK, OpenVINO, SPNE, or DeepStream for real-time edge computing.

Personal Attributes:

- Strong analytical and problem-solving skills, particularly in edge computing and autonomous systems.

- Excellent teamwork and communication skills.

- A passion for working on cutting-edge AI technologies for automotive and autonomous driving applications.

Benefits:

- Competitive salary and performance bonuses.

- Access to state-of-the-art development tools and hardware.

- Opportunity to work on industry-leading autonomous driving and AI solutions.

If you’re excited to work on cutting-edge autonomous driving technologies and have expertise in edge AI, Perception models, and sensor fusion, we encourage you to apply