Software Engineer - AIM Virtualization
Snowflake
Listing collected from Snowflake's career site. NextChapter is independent of Snowflake.
Menlo Park, CA · Posted August 14, 2026
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Where Menlo Park, CA ranks
Where Menlo Park, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Best cities for AI-skill jobs in the West Coast32% · of 71
- #6Best cities for financial services pay after cost of living$164k · of 33
- #6Best cities for AI-skill jobs32% · of 100
- #7Best cities for entry-level jobs that want AI skills in the West Coast21% · of 54
- #11Best all-round cities for AI careers in the West Coast75 / 100 · of 39
- #12Best cities for pay after cost of living in California$169k · of 32
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 816 open software engineer listings that state pay, the middle half runs $150,000 to $247,000 and the median is $192,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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.
At Snowflake, we are shaping how data becomes the center piece of the agentic enterprise. Time to value is what’s most critical to our customers. For them, moving from other platforms to Snowflake is key to unlocking new business opportunities and out-innovating their competition.
With AIM Virtualization we’re redefining interoperability for the modern data stack. Our platform makes existing applications instantly work on Snowflake by bringing the core tenets of virtualization to the database. With our runtime, customers move to Snowflake without changing SQL or APIs. As a result, AIM Virtualization makes time-consuming migrations obsolete.
Our platform is uniquely situated at the intersection of database internals and their practical application. Our team gets to tackle some of the most intricate database implementation challenges. All while pioneering an industry-first framework which customers consistently describe as “too good to be true”.
If you’re looking to work on interesting problems that truly matter to our customers while advancing how we can use AI across the organization, this is the team for you. We are looking for AI-first engineers who are not afraid to take on hard and unusual challenges. We are one of Snowflake’s leading teams in AI-driven software synthesis.
Join us if you’re looking to build systems, devise engineering processes, and direct AI systems to synthesize components of a mission critical platform.
Responsibilities:
Participate in AI-based development across the full platform, from syntactic and semantic analysis, to wire protocols, and data ingest/egress.
Collaborate with product managers, solution architects, and field engineering to enable customers make one of the most critical transitions in their database journey.
Define and improve our engineering processes around AI-based software synthesis workflows.
Our ideal candidate will have:
2-7 years of experience in SQL and/or other functional programming languages.
Boundless curiosity and imagination to use AI in novel ways to create a highly robust and scalable data platform.
Solid knowledge of database internals, including query parsing, optimization, and execution.
BS/MS/PhD in Computer Science: databases, high-performance computing, or related fields.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role: The estimated base salary range for this role is $160,000 - $230,000.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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