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Active4w ago

Staff Software Engineer, Frontier Security Team

Snowflake·📍 Menlo Park, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$236K – $295K/yr

Role overview

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure

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Role market pulse

How Software Engineer demand looks in United States

58/100 · steady

Live jobs

910

Posted 30d

208

30d movement

-59.4%

Remote share

28.9%

Salary listed

72.5%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale; Direct experience shipping and operating LLM applications, AI agents, or model-backed workflows in production; Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Department · Engineering

Snowflake logo

Hiring company

Snowflake

Technology

Snowflake enables organizations to collaborate, build AI-powered data apps, and unlock data insights—all within a secure and scalable AI Data Cloud.

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