> Markdown version of [/jobs/ext/2187513-software-engineer-accelerators-software-hardware-co-design-deepmind](https://www.wearedevelopers.com/jobs/ext/2187513-software-engineer-accelerators-software-hardware-co-design-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Accelerators Software/Hardware Co design, DeepMind - **Company:** Google LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $174,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Machine Learning, Performance Tuning, Software Engineering, Hardware Acceleration - **Published:** August 22, 2026 - **Apply:** https://dejobs.org/x/x/F7BA5F19B3304D3096D61B0A161B0A90/job/ ## About the Role * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * Experience in software development using Python and C++. * Experience with Machine Learning (ML) hardware accelerators and ML inference software., * PhD in Computer Engineering, Computer Science, or a related field. * 2 years of experience with hardware accelerators, including architecture, software/hardware co-design, and performance optimization. * 2 years of experience with collaborative, hyper-scaler software development and engineering best practices. * Experience scoping, planning, and executing projects towards team goals in ambiguous environments. ## Description * Collaborate with product teams to design, implement, and prototype novel software algorithms. * Oversee software/hardware codesign, kernel optimization, performance benchmarking and optimization. * Collect insights to influence future software and hardware design and the technology roadmap. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Practical performance tuning for Serverless Java on AWS](https://www.wearedevelopers.com/videos/2075-practical-performance-tuning-for-serverless-java-on-aws) - [Modern Web Development with Nuxt3](https://www.wearedevelopers.com/videos/294-modern-web-development-with-nuxt3) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)