Embedded & GPU Python Developer | NVIDIA Jetson & High-Performance Computing

Position: Embedded & GPU Python Developers

Location: Bangalore

Working Model: Work From Office

1.

Embedded Python

Developer for NVIDIA Jetson Platforms

Key Requirements:

\ Proven experience in Python development on embedded devices.

\ Proficiency with hardware communication protocols such as SPI and I²C.

\ Prior experience with NVIDIA Jetson hardware and hands-on debugging skills.

Responsibilities & Skills:

\ Develop and integrate embedded Python applications for NVIDIA Jetson platforms.

\ Work within embedded Linux environments to implement hardware communication interfaces.

\ Support hardware/software debugging related to peripheral integration. Test, validate, and document software and interfaces on Jetson hardware.

2.

Python

Developer for GPU-Accelerated Applications on PC

Key Requirements:

\ Experience building high-performance Python applications on PCs with GPU acceleration.

\ Skilled in multithreaded/multiprocess architectures, Video4Linux, socket programming, CUDA, NumPy, Flask (or similar), and Plotly.

Responsibilities & Skills:

\ Develop GPU-accelerated Python applications for real-time data processing.

\ Manage concurrent data acquisition, processing, and execution workflows.

\ Utilize CUDA, CuPy, and NumPy for optimized GPU computations.

\ Build robust real-time pipelines for video and numerical data.

\ Integrate Video4Linux (V4L2) for camera/video stream capture.

\ Develop backend APIs using Flask or FastAPI and create interactive dashboards with Plotly. \* Implement error handling, logging, and system monitoring for reliable operation.

Pay: ₹1,100,000.00 - ₹1,600,000.00 per month

Work Location: In person