Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of experience with Python, PyTorch, JAX, LLM datasets/benchmarks/metrics, etc.

Preferred qualifications:

• Master's degree or PhD.
• Knowledge of proactive problem-solving, with the ability to independently identify hidden issues, take full ownership of solutions, and drive team impact.
• Understanding of iterative development and eagerness to openly share and refine ideas.
• Ability to rapidly learn unfamiliar domains.
• Strong collaborative skills, specifically in pair programming, joint debugging, and interactive brainstorming.

About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of "what AI should be used for", leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Contribute to core tools and infrastructure for LLM research, driving major efforts across internal and external codebases to optimize and add new research capabilities.
• Develop software to launch Gemmaverse open models publicly, ensuring they perform excellently and intuitively across various 3P technical stacks and devices (e.g., servers, laptops, phones).
• Serve as a technical expert for external open-model systems (e.g., HuggingFace, Ollama, Keras) to drive high satisfaction and enablement for the external user community.
• Collaborate with researchers, applied partners, and external engineers (e.g., Vlmm) to contribute to the broader AI ecosystem, including PyTorch, Jax, Gemini, and Gemax.
• Create documentation and tutorials for audiences, including Googlers and external researchers, to help users successfully adopt Gemma variants and technical artifacts.

${qualifications}${responsibilities}
Requisition #: 86310936884716230

pca3lyuhf