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Write high-quality, well-tested, and efficient C++ code for our AI/ML software stack.
Integrate ML models—including convolutional neural networks (CNNs), large language models (LLMs), and vision-language models (VLMs)—for Interior Sensing and Intelligent Cockpit applications on embedded devices.
Accelerate runtime execution of computer vision and machine learning algorithms for specific hardware architectures.
Develop efficient back-end applications for ML applications on Android and Linux.
Integrate vehicle sensors and cameras with automotive operating systems (e.g., Android Automotive OS).
Working in an Agile SW development team (SCRUM) closely with Machine Learning Engineers, System Engineers, and SW engineers.
Requirements:
A graduate in BE/B.Tech/ME/M.Tech in Electronics, Electrical, or Computer Engineering with 3–7 years of experience in DSP-based embedded software development.
Strong software development skills in C++.
Knowledge in compute HW architectures: CPU, GPU, DSP, NPU, AI accelerators.
Fluent in English. Excellent written and verbal communication skills & interpersonal skills.
Practical experience with Linux and Android, version control systems (Git), build systems (Make, CMake, Autotools) and code review tools (Github, Gitlab, Gerrit, Bitbucket).
Experience with at least one of the following SoC vendors: Qualcomm, Texas Instruments, Samsung, NXP, or MediaTek.
Experience with Android app + native layers: Kotlin/Java with NDK/JNI, C/C++.
Experience with Embedded/Linux: Yocto/Buildroot, kernel modules, bootloaders, board bring-up.
Practical experience with automotive/robotics middleware, Android Automotive OS.
Practical experience with one or more neural network inference engines: ONNX Runtime, TensorRT, TFLite, ArmNN, TVM.
What we offer:
Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development).
Life and accident insurance.
Well Being Program that includes regular workshops and networking events.