Mountain View, CA

Salary
$226,150–$252,000from the description
Posted
Jul 27, 2026
Location
Mountain View, CA
Last confirmed open
Jul 29, 2026

What this job asks for AI summary

A software engineering role on Google DeepMind's Gemini team, focused on building and maintaining production serving infrastructure for large language and multimodal models. Day-to-day work spans developing orchestration frameworks for large-scale streaming and audio, debugging and monitoring live ML systems, and driving the team's near-term technical roadmap. Suits engineers with a strong mix of systems software and applied ML experience.

Senior level · 3+ years · San Jose-Sunnyvale-Santa Clara, CA · Master's required · Full-time

Must have (5)
C++PythonLLMsML infrastructurereinforcement learning or Speech Audio Technologies

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 330 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 250–520

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
reinforcement learning6%ML infrastructure12%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.

Why we read it this way (6)

The minimum qualifications state a Master's degree plus 3 years of experience OR a Ph.D. (with no experience requirement stated). The degree requirement is set to Master's as the minimum formal degree that gates the role; a Ph.D. is listed as an accepted alternative path.

The posting's title says 'Senior' but the inline label reads 'Mid Experience' — this appears to be Google's internal leveling descriptor (likely L5), not a contradiction of the Senior title. The role is assessed as Senior based on the responsibilities (technical roadmap ownership, mentoring, production ML systems).

Reinforcement learning and speech/audio technologies are listed as a paired requirement ('Reinforcement learning or speech/audio technologies') in the minimum qualifications; they are captured as a single required skill with the audio alternative noted.

The salary range ($226,150–$252,000/year) is the stated US base; the posting also mentions a 15% bonus target and equity, which cannot be represented in the compensation fields.

The alternative occupation code 15-2051 (Data Scientists) is noted as a runner-up given the heavy ML/model-deployment focus, but the primary day-to-day work is building and shipping production software infrastructure, making 15-1252 the better fit.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): root cause analysis.

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