Renesas Electronics: Principal AI Software Architecture Engineer (f/m/d) — Duesseldorf, Germany

About Renesas Electronics

Renesas Electronics develops semiconductors for automotive, industrial, infrastructure and connected-device applications. Its employer description identifies microcontrollers, system-on-chip devices, analogue components and power products within its portfolio. These components form part of electronic systems made by other manufacturers. Renesas also describes combining complementary products into solutions for customers, connecting individual chips with the needs of an end application. Its business therefore involves both semiconductor technology and how that technology is used in wider electronic products.

The position and its setting

Renesas Electronics lists Principal AI Software Architecture Engineer (f/m/d) in Duesseldorf, Germany, under reference 20034840_2026-10-16. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 21 October 2026
• Brands: Renesas Electronics

Responsibilities and work described

• Renesas is seeking a Principal AI Software Architecture Engineer to lead the technical direction of next-generation AI software platforms and deployment technologies across embedded and edge computing products
• Operate across software architecture, AI model deployment, compiler ecosystems, runtime integration, heterogeneous computing and hardware/software co-design
• Mission
• Enable efficient and scalable deployment of AI workloads across diverse hardware platforms while creating a sustainable software foundation for future generations of AI tools, model translation workflows, runtime systems, development environments and customer-facing deployment solutions
• Define and drive long-term AI software architecture strategy across model translation, compiler, runtime and deployment layers
• Leadership: architecture decisions for heterogeneous AI deployment across CPUs, MCUs, MPUs, NPUs, DSPs, GPUs and future accelerator technologies
• Technical guidance: evolution of compiler and runtime technologies, including integration with LLVM/MLIR or equivalent compiler ecosystems where appropriate
• Collaboration: with hardware, software, product, application engineering and customer-facing teams to translate platform needs into executable technical roadmaps
• Drive hardware/software co-design discussions to influence future AI acceleration and software platform capabilities
• Mentor senior engineers and technical leads, helping shape architecture thinking across globally distributed teams
• Represent the technical direction in architecture reviews, roadmap discussions, customer workshops, partner discussions and executive-level technical reviews

Essential requirements and candidate background

• Up to 30% international travel may be required
• Travel is expected to support global engineering collaboration, architecture reviews, customer workshops, technical roadmap discussions, partner engagement, conferences and executive technical reviews
• Master's degree or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related technical field
• Equivalent depth of technical achievement may be considered where supported by substantial industry experience and recognized architecture leadership
• 10+ years minimum experience in complex software systems, AI infrastructure, compiler technologies, embedded software, deployment platforms or related domains
• 5+ years of demonstrated technical leadership, architecture ownership or cross-team technical influence
• Experience leading architecture decisions that affected multiple teams, product generations, platforms or customer-facing software ecosystems
• Experience working in globally distributed engineering environments
• Fluent English, spoken and written, is required
• Additional language capabilities, such as Japanese, German, French or other business-relevant languages, are beneficial but not mandatory
• Required Technical Expertise
• Large-scale software architecture and platform evolution
• AI model deployment workflows and AI software toolchains
• Compiler ecosystems such as LLVM, MLIR, IREE, XLA, TVM, OpenXLA or comparable technologies
• Programming expertise in C++ and Python
• AI frameworks and model formats such as PyTorch, TensorFlow, ONNX and TFLite
• Runtime integration, performance engineering, profiling, memory optimization and latency/throughput analysis
• Embedded and edge computing environments, including constraints around memory, power, performance and deployment workflow
• Heterogeneous hardware architectures including CPU, MCU, MPU, NPU, DSP, GPU and accelerator-based systems

Experience and professional background

• 15+ years of professional software engineering experience preferred for the target profile

Preferred experience and additional strengths

• Experience defining multi-year technical roadmaps
• Experience: customer-facing technical leadership, strategic workshops or partner ecosystem discussions
• Experience mentoring senior engineers, technical leads or future architects
• Contributions to compiler, AI deployment, runtime, embedded software or open-source ecosystems
• Patents, publications or recognized technical contributions are advantageous but not required if architecture ownership is demonstrated
• Candidate Profile
• The ideal candidate is a software architecture leader with deep understanding of AI deployment and compiler knowledge
• The role is best suited to a systems thinker who can connect software platforms, model translation workflows, compiler ecosystems, runtime behavior, hardware constraints, customer needs and long-term product strategy
• Success Metrics
• Accelerate AI deployment across embedded and edge hardware platforms
• Improve maintainability and adaptability of AI software platforms and deployment technologies
• Establish clear architecture direction across toolchains, runtimes, model translation and heterogeneous execution

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: On-site
• Advertised location: Duesseldorf, Germany

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Principal AI Software Architecture Engineer (f/m/d) vacancy is not an offer for reference 20034840_2026-10-16; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Renesas Electronics

Applications follow the official employer page linked below.

Open the official Renesas Electronics posting below and match the title and reference 20034840_2026-10-16.

Compare your qualifications and experience with the essential conditions for the Duesseldorf, Germany position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• C++
• AI/ML
• AI
• embedded systems
• sustainability
• electrical engineering