Embedded AI Software Engineer (Mid-Level)

About the role

Bosch Engineering Center Cluj is seeking a Mid‑Level Embedded AI Software Engineer to design and deploy AI‑enabled embedded systems on a multi‑vendor AI chiplet platform. You will work at the intersection of hardware, low‑level AI accelerators, and complex software stacks to create safe, secure, and efficient AI pipelines for automotive and industrial applications.

Key responsibilities

• Execute embedded deployment of neural‑network models, including model slicing, fine‑tuning, and quantization‑aware deployment.
• Deploy and tune AI models on embedded targets, optimizing memory, bandwidth, and power usage.
• Integrate AI accelerator toolchains into Bosch’s internal tool environment for end‑to‑end model development.
• Extend the OpenVX glue‑code generator (AI Glue) to automate mapping of AI graphs to heterogeneous chiplets.
• Visualize AI pipeline performance using PRISM or similar tools.
• Develop and optimise OpenVX accelerator back‑ends and kernels for computer‑vision and other AI workloads.
• Implement and tune OpenCL and Vulkan kernels for sensor and image‑processing pipelines on GPUs and hardware accelerators.
• Collaborate with hardware teams to define chiplet‑specific APIs, memory models, and communication protocols (e.g., UCIe, host‑side drivers).
• Ensure sensor‑to‑AI data flows meet bandwidth, latency, determinism, and safety‑critical constraints.

Required profile

• 4‑7 years of experience in embedded software engineering with a focus on AI, computer vision, or heterogeneous computing platforms.
• Strong proficiency in C++ and embedded systems development.

Required skills

• C++
• OpenVX
• OpenCL
• Vulkan
• AI accelerator toolchains
• Model slicing and quantization‑aware deployment
• PRISM visualization
• UCIe communication protocol
• Computer‑vision pipelines
• Heterogeneous computing

What we offer

• Flexible working conditions and modern offices in Cluj‑Napoca and other Romanian locations.
• Opportunities for professional and personal development in a leading AI‑driven automotive environment.
• Collaborative culture that encourages growth, enjoyment, and mutual inspiration.