Senior Software Engineer - Low-Level Systems, Compilers & Embedded AI

TalentCloud Group; Zürich; Vor Ort; CHF 100.000 - 130.000; Vollzeit

Zusammenfassung

An innovative tech company in Zurich is seeking a motivated Senior Software Engineer specializing in Low-Level Systems, Compilers, and Embedded AI. In this full-time position, you will design software foundations for advanced compute hardware, closely collaborating with architecture and hardware teams. Ideal candidates have strong C++ and Python skills, experience with compilers, embedded systems, and a background in AI workloads. This role offers significant ownership and involvement in software architecture and performance-critical decisions.

Qualifikationen

• Excellent C++ and strong Python skills.
• Experience in embedded systems or low-level runtime development.
• Experience with AI workloads: edge inference, operator lowering.
• Ability to read and interpret hardware documentation.
• Track record of delivering production-quality systems.

Aufgaben

• Design low-level runtimes, libraries, and tooling for embedded platforms.
• Map AI models and DSP algorithms onto custom hardware.
• Build profiling and benchmarking pipelines to track performance gains.
• Work with hardware teams on hardware/software co-design.
• Improve CI, testing strategy, and release processes.

Kenntnisse

C++

Python

AI workloads

DSP or numerical algorithm design

Profiling, tracing, optimizing performance

Clear communication

Tools

CUDA/OpenCL

CI/CD

SDK packaging

Jobbeschreibung

Senior Software Engineer - Low-Level Systems, Compilers & Embedded AI

Job Openings Senior Software Engineer - Low-Level Systems, Compilers & Embedded AI

About the job Senior Software Engineer - Low-Level Systems, Compilers & Embedded AI

🌟 Senior Software Engineer Low-Level Systems, Compilers & Embedded AI

We partnering with an innovative Zürich-based tech company who are seeking a motivated Senior Software Engineer. Theyre growing their core software team and looking for an engineer who loves working close to the hardware and has strong experience in compilers, embedded systems, AI models, and DSP algorithms. This is a full-time permanently employed position.

If you love C++, performance tuning, and designing software that makes hardware fly this will excite you.

💡 What this role is really about

Youll design the software foundation that powers a new class of compute hardware from compilers and runtimes down to hardware-aware optimizations for AI and DSP operations.
Expect high ownership and deep involvement in both architecture & performance-critical decisions.

🚀 What youll be doing

• 🧩 Designing low-level runtimes, libraries & tooling for embedded + accelerator-class platforms
• 🔊 Mapping AI models and DSP algorithms efficiently onto custom hardware
• 📊 Building profiling + benchmarking pipelines to track real performance gains
• 🤝 Working with architecture & hardware teams on HW/SW co-design
• 🧪 Improving CI, testing strategy & release processes

🔍 What you need to succeed

To excel here, you should be comfortable at the intersection of compilers, embedded systems, AI, and DSP performance.

• 🟦 Excellent C++ and strong Python skills
• 🧭 Background in embedded systems or low-level runtime development
• 🧠 Experience with AI workloads (edge inference, operator lowering, model execution, quantization, or similar)
• 🔊 Experience with DSP or numerical algorithm design is highly advantageous
• 📚 Ability to read & interpret hardware documentation
• Experience in profiling, tracing, optimizing memory usage, concurrency, and overall performance
• 📦 Track record of delivering production-quality systems
• 🚀 Exposure to CUDA/OpenCL, DSP kernels, IREE, TVM, ONNX runtimes, TFLite Micro is a strong plus
• 🔁 Familiarity with CI/CD and SDK packaging is beneficial
• 🤝 Clear communication & strong collaboration skills across hardware/software teams

🏭 Industry background that works well

Engineers coming from semiconductors, embedded compute, compiler/toolchain development, AI accelerators, DSP, or high-performance systems typically thrive here.