Software Engineer (New grad)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer (New grad) San Francisco | OnSite Continue is seeking an intense and fast-learning engineer to help us build our open-source product, starting by resolving and learning about user problems on GitHub and Discord. In this role, you will shape our open-source IDE extensions by designing, building, and maintaining a product loved by many, including yourself. About you Please keep in mind that we are describing the background that we imagine would best fit the role. If you don't meet all the requirements, but you are confident that you are up for the task, we absolutely want to get to know you! - You are proficient in TypeScript, Node.js, and React / Next.js - You have a track record of building side projects - You are interested in AI engineering or machine learning - You are a rigorous thinker capable of tackling difficult algorithmic problems What you will do We're a startup, so you'll have to be ready to do whatever is required to accomplish our mission. However, you can definitely expect to: - Design and implement new affordances for coding with LLMs as new model capabilities emerge - Rapidly experiment and design benchmarks to improve autocomplete and codebase retrieval - Iterate on the smallest details to make our chat and autocomplete experiences awesome - Play a key role in our GitHub and Discord communities by answering questions and resolving problems

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