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# Software Engineer, Gemini App Skills Platform, DeepMind

- **Company:** DEEPMIND MATRIX
- **Location:** Mountain View, CA, United States
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Dynamical Systems, Software Engineering, Large Language Models, Prompt Engineering, Reliability of Systems, Generative AI, Agentic-AI, Build Management, Low Latency, Google Gemini, DeepMind
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4eec41a1a7e39057

## About the Role

* Experience developing software with large language models, agentic workflows, tool use, or retrieval-augmented generation (RAG).
 * Experience designing evaluation datasets, automated rating systems, or conducting error analysis and prompt optimization for generative models., * Experience collaborating cross-functionally across research, product, and platform engineering teams to take novel AI features from prototype to production.
 * Demonstrated ability to design experimental setups, analyze model telemetry, and define reproducible metrics for complex features.

## Description

* Design and build intelligent skill discovery, hybrid routing architectures, and low-latency C++ serving components across Gemini on web, mobile, and Chrome.
 * Pioneer dynamic system instructions, prompt representations, and semantic retrieval schemas that enable Gemini to seamlessly navigate expanding skill catalogs without attention dilution or quality regressions.
 * Design automated evaluation frameworks (auto-raters, simulated environments, and benchmarking suites) to rigorously measure single-turn triggering precision, multi-turn tool, and parameter validity.
 * Perform in-depth loss analysis on production telemetry, drive iterative prompt/model hill-climbing to surpass quality thresholds, and set standards for system reliability and clean architecture across the organization.
 * Partner closely with DeepMind Research, Search, Vertical teams (e.g., local, shopping), and external Engineering teams to onboard new modular capabilities onto the platform.