Asks for

The ad says“Good understanding of AI chiplets, heterogeneous acceleration, and high‑speed interconnects (e.g., UCIe) and host‑side drivers.”
The ad says“Understanding of safety- and security‑critical requirements (e.g., ISO 26262, AUTOSAR, or industrial safety standards) and how to monitor AI workloads in such environments.”
The ad says“Strong proficiency in C++ and embedded systems programming, with experience in real‑time or safety‑critical environments.”
The ad says“Strong proficiency in C++ and embedded systems programming, with experience in real‑time or safety‑critical environments.”
The ad says“Expertise in OpenVX, OpenCL, and/or GPU compute frameworks (e.g., Vulkan), especially for computer vision and/or AI pipelines.”
The ad says“Good understanding of AI chiplets, heterogeneous acceleration, and high‑speed interconnects (e.g., UCIe) and host‑side drivers.”
The ad says“Good understanding of AI chiplets, heterogeneous acceleration, and high‑speed interconnects (e.g., UCIe) and host‑side drivers.”
The ad says“Good understanding of AI chiplets, heterogeneous acceleration, and high‑speed interconnects (e.g., UCIe) and host‑side drivers.”
The ad says“Understanding of safety- and security‑critical requirements (e.g., ISO 26262, AUTOSAR, or industrial safety standards) and how to monitor AI workloads in such environments.”
The ad says“Experience with AI model deployment on embedded targets, including model partitioning, slicing, quantization, and toolchain integration (e.g., TensorRT, ONNX‑Runtime, vendor‑specific stacks).”
The ad says“Experience with AI model deployment on embedded targets, including model partitioning, slicing, quantization, and toolchain integration (e.g., TensorRT, ONNX‑Runtime, vendor‑specific stacks).”
The ad says“Experience with AI model deployment on embedded targets, including model partitioning, slicing, quantization, and toolchain integration (e.g., TensorRT, ONNX‑Runtime, vendor‑specific stacks).”
The ad says“Expertise in OpenVX, OpenCL, and/or GPU compute frameworks (e.g., Vulkan), especially for computer vision and/or AI pipelines.”
The ad says“Expertise in OpenVX, OpenCL, and/or GPU compute frameworks (e.g., Vulkan), especially for computer vision and/or AI pipelines.”
The ad says“Experience with AI model deployment on embedded targets, including model partitioning, slicing, quantization, and toolchain integration (e.g., TensorRT, ONNX‑Runtime, vendor‑specific stacks).”
The ad says“Strong proficiency in C++ and embedded systems programming, with experience in real‑time or safety‑critical environments.”
The ad says“Experience with AI model deployment on embedded targets, including model partitioning, slicing, quantization, and toolchain integration (e.g., TensorRT, ONNX‑Runtime, vendor‑specific stacks).”
The ad says“Good understanding of AI chiplets, heterogeneous acceleration, and high‑speed interconnects (e.g., UCIe) and host‑side drivers.”
The ad says“Expertise in OpenVX, OpenCL, and/or GPU compute frameworks (e.g., Vulkan), especially for computer vision and/or AI pipelines.”

Company Description

About Bosch Engineering Center Cluj

Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector. Through its extensive expertise in software, hardware & mechanical engineering, reliability engineering, as well as sales planning, the center contributes to the development of innovative products and services based on artificial intelligence (AI) applied in the fields of automated driving, electric and connected mobility. Thanks to the diverse professional and personal development opportunities, flexible working conditions, modern offices and laboratories in Cluj-Napoca, Jucu, Bucharest and Sibiu, we are one of the most desired employers among engineers and IT professionals in Romania.

Our promise to our colleagues is rock-solid: we grow together, we enjoy our work and inspire each other. Join us and see the difference.

Work LikeABosch

Job Description

We are looking for a Embedded AI SW Engineer to design and deploy AI‑enabled embedded systems around a multi‑vendor AI chiplet platform. In this role, you will bridge hardware, low‑level AI accelerators, and complex software stacks to enable sustainable, safety‑ and security‑aware AI pipelines in embedded automotive or industrial environments.

Key responsibilities:

Execute embedded deployment of neural network models, including model slicing, retraining (or fine‑tuning) strategies, and quantization‑aware deployment.
Deployment and tuning of AI models on embedded targets, including memory, bandwidth, and power‑aware partitioning.
Integrate selected AI accelerator toolchains into the internal tool environment, enabling end‑to‑end model development, optimization, and deployment.
Extend and evolve AI Glue (OpenVX glue‑code generator) to automate mapping of AI graphs and kernels to heterogeneous chiplets and backends.
Integrate and visualize AI pipeline behavior and performance via PRISM‑based or similar visualization tools.
Develop and optimize OpenVX accelerator backends and kernels for the Bosch chiplet project, including computer vision pipelines and different AI workloads.
Implement and tune OpenCL and Vulkan kernels for sensor and image processing pipelines (image acquisition and pre-processing) on GPU and hardware accelerators.
Collaborate with hardware teams to define and refine chiplet‑specific APIs, memory models, and communication protocols (e.g., UCIe, host‑side drivers).
Ensure sensor‑to‑AI data flows are optimized for bandwidth, latency, and determinism, including safety‑critical constraints where applicable.

Qualifications

+8 years of experience in embedded software engineering, with a strong focus on AI, computer vision, or heterogeneous computing platforms.
Strong proficiency in C++ and embedded systems programming, with experience in real‑time or safety‑critical environments.
Expertise in OpenVX, OpenCL, and/or GPU compute frameworks (e.g., Vulkan), especially for computer vision and/or AI pipelines.
Good understanding of AI chiplets, heterogeneous acceleration, and high‑speed interconnects (e.g., UCIe) and host‑side drivers.
Experience with AI model deployment on embedded targets, including model partitioning, slicing, quantization, and toolchain integration (e.g., TensorRT, ONNX‑Runtime, vendor‑specific stacks).
Familiarity with AI accelerator toolchains and neural network models to AI chiplet mapping.
Knowledge of OpenVX glue‑code generators / AI glue frameworks and experience in extending such code generators is a strong plus.
Understanding of safety- and security‑critical requirements (e.g., ISO 26262, AUTOSAR, or industrial safety standards) and how to monitor AI workloads in such environments.
Good written and verbal communication skills, with the ability to document architecture, APIs, and integration guidelines.

Additional Information

LikeABosch Benefits:

Your work-life balance is valuable to us, so we offer you:

25 Days of annual leave, because work-life balance is essential to us;
Flexible working hours.

Your health and well-being is important to us, so we have you covered:

Medical subscription;
Accident insurance;
Sport activities and well-being initiatives.

We believe in a Life-Long Learning approach, so you can take advantage of:

Technical and soft skills trainings;
Access to e-learning platforms;
Local and Global career development programs;
Opportunity to attend conferences;
Bookster subscription.

You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.

On top of these, we are offering:

A monthly budget which can be used for several different services on an online benefit platform;
Annual bonus;
Lunch discounts.

Ready to work LikeABosch?

We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.