Linux Developer - Embedded System

Job Description :

Job Title : Linux Developer (Edge AI)

Location : Ahmedabad/Bangalore

Experience : 6 - 10 Years

About us :

Mantra Softech is a global hi-tech manufacturer of biometric products and solutions with in- house design and development team. This dream project of like minded visionaries started in 2006, continues to push the envelope on biometric system capabilities.

Job Summary :

We are looking for a highly skilled Linux Developer with strong expertise in Edge AI to design, develop, and optimize AI-driven applications running on embedded and edge computing platforms. The ideal candidate should have deep experience in Linux systems programming, performance optimization, and deploying AI/ML models on edge devices. This role requires hands-on experience in low-level development, hardware-software integration, and real-time AI inference optimization.

Key Responsibilities :

• Design and develop Linux-based applications and services for edge devices.

• Work on kernel-level and user-space development.

• Develop, optimize, and deploy AI/ML models on edge hardware platforms.

• Integrate AI pipelines with embedded Linux systems.

• Optimize system performance, memory management, and power consumption.

• Work on device drivers and board support packages (BSP).

• Implement containerization (Docker/Podman) for edge deployments.

• Collaborate with AI/ML engineers to convert trained models into optimized edge inference solutions.

• Debug system-level issues and optimize boot time, latency, and throughput.

• Work closely with hardware teams for SoC-level integration.

Required Qualifications :

• Bachelors or Masters degree in Computer Science, Electronics, Embedded Systems, or related field.

• 6 - 10 years of hands-on experience in Linux development.

• Proven experience in Edge AI or embedded AI deployment projects.

Technical Skills :

Linux Expertise :

• Strong experience in Linux internals, kernel, and system programming.

• Hands-on experience in C/C++ development.

• Multi-threading, IPC, memory management.

• Experience with Buildroot / Yocto.

• Experience in cross-compilation and embedded toolchains.

• Device driver development (preferred).

Edge AI / AI Deployment :

• Experience deploying AI/ML models on edge devices.

• Knowledge of TensorFlow Lite, ONNX Runtime, OpenVINO, or similar frameworks.

• Model optimization techniques (quantization, pruning).

• Experience with NVIDIA Jetson / Qualcomm / ARM-based platforms.

• Understanding of GPU, NPU acceleration.

• Real-time inference optimization.

Additional Skills (Good to Have) :

• GStreamer / Video processing pipelines.

• Computer Vision exposure.

• Docker & Kubernetes (Edge deployments).

• CI/CD for embedded systems.

• Knowledge of networking protocols (MQTT, TCP/IP).

Soft Skills :

• Strong debugging and problem-solving skills.

• Ability to work in cross-functional teams.

• Strong communication skills.

• Ownership mindset and ability to work independently. .