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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Software Engineer III, AI/ML, DSP/HTP Optimisation

Requirements:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in C++ or Python programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Nice to haves:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience developing accessible technologies.
  • Deep understanding of machine learning principles to ensure algorithms perform within strict power limits.
  • Maintaining a current and thorough understanding of the latest developments in Digital Signal Processors (DSP), Hexagon Tensor Processors (HTP), and system-on-chip (SoC) architectures to effectively leverage hardware-specific features for maximum efficiency and thermal management.

What you'll be doing:

  • Utilise Digital Signal Processors (DSP) and Hexagon Tensor Processors (HTP) architectures to accelerate ML models while effectively minimizing thermal impact.
  • Conduct rigorous power profiling and implement hardware-specific optimizations to maintain consistent feature performance across all use cases.
  • Own the end-to-end performance optimization of models to operate within a strict power budget.
  • Define the efficiency standards on next-generation hardware at the intersection of ML and system architecture.

Perks and benefits:

  • Google is proud to be an equal opportunity and affirmative action employer.
  • Opportunities to switch teams and projects as you and the business grow and evolve.
  • Versatile work environment with leadership opportunities.
  • Innovative experiences for users around the world.
AI Summary ✨
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Google

Zurich, Switzerland

Experience: Senior
Posted: June 8, 2026
Last seen: an hour ago
Nodejs
Python
machinelearning

Why we track Google

Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.

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