Senior Software Engineer - Low-Level Systems, C...

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Job Description:

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

πŸ“ ZΓΌrich (Hybrid) | 🧠 Deep Tech | ️ AI / Embedded / Accelerators | πŸš€ Next-Gen Hardware

We partnering with an innovative ZΓΌrich-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.

πŸ’‘ 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.

πŸš€ What youll be doing

  • 🧩 Designing low-level runtimes, libraries & tooling for embedded + accelerator-class platforms
  • 🧠 Implementing compiler components (MLIR/LLVM passes, IR transforms, backend lowering)
  • πŸ”Š Mapping AI models and DSP algorithms efficiently onto custom hardware
  • πŸ“Š Building profiling + benchmarking pipelines to track real performance gains
  • 🀝 Working with architecture & hardware teams on HW/SW co-design
  • πŸ§ͺ Improving CI, testing strategy & release processes
  • πŸ“˜ Producing clean documentation, examples & reference projects

πŸ” What you need to succeed

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

  • πŸ”΅ Strong hands-on compiler engineering experience (LLVM/MLIR, IR, backend codegen, etc.) #1 requirement
  • 🟦 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)
  • πŸ”Š Experience with DSP or numerical algorithm design is highly advantageous
  • πŸ“š Ability to read & interpret hardware documentation
  • Experience in profiling, tracing, optimizing memory usage, concurrency, and overall performance
  • πŸ“¦ Track record of delivering production-quality systems
  • πŸš€ Exposure to CUDA/OpenCL, DSP kernels, IREE, TVM, ONNX runtimes, TFLite Micro is a strong plus
  • πŸ” 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.

🌍 Location & Work Style

πŸ“Œ ZΓΌrich, Switzerland
🏠 Hybrid setup (mix of onsite collaboration + remote flexibility)