Autobrains is growing, and we are opening a new System Software Team Lead position!

We are looking for an experienced, hands-on leader to spearhead our system software group and oversee the development of cutting-edge AI-based vision systems.

This is a unique opportunity to build and lead a top-tier team and shape the core infrastructure powering Autobrains’ next-generation automotive AI platforms.

The ideal candidate comes from a leading hardware/software company (such as NVIDIA, Intel, Qualcomm) and brings a strong blend of technical excellence and people leadership skills.

Requirements:

B.Sc or M.Sc in Computer Science, Electrical Engineering, or a related field.
8+ years of experience in software/system development for real-time, embedded, or high-performance systems.
3+ years of experience in team leadership or technical management roles.
Strong expertise in C/C++ development; Python knowledge – an advantage.
Proven experience with real-time operating systems (RTOS) or real-time Linux environments.
Deep understanding of memory management, concurrency, synchronization, and system-level optimization.
Background working with AI model deployment frameworks (TensorRT, ONNX runtime) – advantage.
Prior experience in system-level development at companies like NVIDIA, Intel, Qualcomm, Broadcom, Marvell, etc. – strong advantage.
Excellent communication skills, strong sense of ownership, and a passion for mentoring others.

Responsibilities:

Build, mentor, and lead a team of system software engineers.
Define, design, and oversee the implementation of real-time software infrastructures for AI and vision workloads.
Own the full system software stack: resource management, scheduling, IPC, memory optimization, profiling, and performance optimization.
Drive close collaboration with AI, hardware, and architecture teams to optimize system efficiency across heterogeneous compute platforms (CPU, GPU, NPU, DSP).
Lead system bring-up, debugging, and performance tuning activities on new hardware platforms.
Set development standards, drive best practices, and foster technical excellence within the team.
Contribute hands-on to complex system-level development and critical problem-solving.
Report directly to R&D senior leadership and participate in shaping product and technology roadmaps.