Linux BSP & Device Driver development: Developers/Tech Lead

Description

• Optimize data pipelines and memory usage for neural network models on embedded devices.
• Oversee the integration of audio frameworks to ensure performance, scalability, and quality.
• Present technical strategies, trade-offs, and recommendations to leadership.
• Evaluate and incorporate external vendor BSPs, SDKs, or open-source components.
• Drive implementation and optimization of multimedia pipelines (video capture, processing, encoding/decoding) for low-latency and high-throughput requirements.
• Troubleshoot BSP-related issues, including kernel crashes and peripheral malfunctions.
• Implement and optimize real-time audio and video streaming.
• Provide technical guidance and mentorship to a team of software engineers.
• Collaborate with cross-functional teams (Hardware, QA, Product Management) to define project requirements and ensure timely delivery.
• Collaborate with network-stack engineers to ensure robust, secure, and high-performance connectivity.
• Define and enforce coding standards, best practices, and development processes.
• Ensure compliance with open-source licensing, security standards, and industry best practices.
• Lead the architecture, development, and integration of embedded Linux BSPs for complex SoC-based devices.
• Integrate and maintain streaming solutions within the Linux BSP, ensuring minimal latency and reliable playback.
• Work on bootloader customization, board bring-up, and low-level hardware initialization.
• Develop and optimize Linux kernel-level drivers for networking (Ethernet, Wi-Fi), audio processing, and video processing, MIP-CSI,
• Maintain comprehensive documentation of BSP design, integration guides, and release notes.
• Work with streaming protocols (e.g., RTSP, RTP, HLS) and standards to ensure secure, high-quality video transmission.
• Collaborate with hardware accelerators and AI/ML frameworks (e.g., TensorFlow Lite, ONNX Runtime) to enable efficient edge inferencing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Neural Network & Hardware Acceleration
• Demonstrated ability to lead, mentor, and develop engineering teams.
• A self-starter who can balance strategic thinking with hands-on execution.
• 10+ years of hands-on experience in embedded Linux development, with at least 2 years in a leadership or senior technical role.
• Familiarity with AI frameworks (TensorFlow, PyTorch, Caffe) and optimizing AI/ML workloads on embedded devices.
• Strong communication skills for cross-functional collaboration and stakeholder engagement.
• Proven track record of working in fast-paced, agile development environments.
• Proficiency in ISP/GPU or hardware-accelerator integration for video or neural networks is a strong advantage.
• Proven expertise in board bring-up, bootloader development, and Linux kernel driver programming.
• Demonstrable experience with networking protocols (TCP/IP, UDP, VLAN), audio frameworks (ALSA, PulseAudio), and video frameworks (GStreamer, V4L2).
• Expertise in real-time streaming protocols (e.g., RTSP, RTP) for Audio, Video streaming solutions is highly desirable.
• Networking, Video & Audio Processing
• Experience in debugging tools (gdb, strace, perf, Lauterbach) and version control (Git).
• Strong C/C++ programming skills; additional scripting languages (Python, Bash) are a plus.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance