ADAS Engineer

2 days ago

Bengaluru, Karnataka, India BYTES Full time US$ 90,000 - US$ 1,20,000 per year

Role : ADAS Engineer

Location:

HSR Layout, Bengaluru (Onsite, Full-Time)

Experience:

0–2 years (Freshers with strong project experience in ADAS / Computer Vision encouraged to apply)

About BYTES

BYTES is building India's first
AI-powered Advanced Driver Assistance System (ADAS) for two-wheelers

, tackling real-world challenges in rider safety and autonomous mobility. As part of our core engineering team, you will work on cutting-edge computer vision and AI solutions for real-time deployment on edge devices.

Job Summary

We are looking for passionate
ADAS Engineers

with strong foundations in
Computer Vision, Deep Learning, and Perception Systems

to design, develop, and deploy algorithms for real-world two-wheeler safety. You will work on challenges such as
object detection, depth estimation, lane detection, and blind-spot monitoring

with direct applications in
ADAS and autonomous driving systems

.

This role is ideal for
fresh graduates or early professionals (0–2 years)

who have completed projects or research in related fields and are eager to take ownership in building impactful mobility solutions.

Key Responsibilities:

  • Design, develop, and optimize
    vision-based models

for ADAS tasks including object detection, semantic segmentation, depth estimation, lane/road detection, and blind-spot monitoring.
- Work with large-scale automotive datasets (KITTI, Cityscapes, BDD100K, CULane, Indian driving datasets) and contribute to
dataset creation/annotation pipelines

.
- Implement and fine-tune state-of-the-art neural networks (e.g., YOLOv8, Faster R-CNN, UNet, MonoDepth, BEV models).
- Research, experiment with, and integrate
custom loss functions

and
multi-task learning setups

to improve ADAS model robustness.
- Build
efficient pipelines

for data preprocessing, augmentation, and real-time inference on edge devices (Jetson Orin, Qualcomm platforms, Raspberry Pi).
- Collaborate with hardware engineers for
sensor integration (cameras, IMUs, CAN bus)

and ensure perception modules are production-ready.
- Keep up with
latest research in computer vision, perception, and ADAS/autonomy

, and apply them to real-world deployments.
- Write clean, modular, and well-documented code with version control (Git).

Qualifications :

  • Bachelor's/Master's in Computer Science, Electrical Engineering, Robotics, Data Science, or related fields.
  • Strong understanding of
    computer vision & deep learning algorithms

(object detection, segmentation, depth estimation).
- Proficiency in
Python

; familiarity with
C++

is a plus.
- Experience with
PyTorch, TensorFlow, or Keras

.
- Hands-on experience with
OpenCV

for image/video processing.
- Familiarity with
deep learning architectures

like ResNet, VGG, UNet, YOLO, Transformer-based CV models.
- Exposure to
autonomous driving or robotics datasets

.
- Knowledge of
multi-task learning, transfer learning, or model optimization

(quantization, pruning).

Bonus Skills (Good to Have):

  • Experience with
    real-time deployment

on embedded/edge devices (NVIDIA Jetson, Qualcomm, Raspberry Pi).
- Understanding of
3D vision & depth estimation

(stereo vision, point cloud processing, monocular depth).
- Knowledge of
self-supervised / reinforcement learning

applied to perception tasks.
- Familiarity with
ADAS features

like collision detection, lane departure warning, blind-spot detection.
- Experience with
cloud services (AWS, GCP)

or MLOps for training and deployment.

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