Software Engineer 3, Atlas Vector Search

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified not verified - source URL not recorded; timestamp not recorded

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Not verified

Salary

$106K-$209K From the posting source checked Jun 20, 2026

401(k) match

Not verified

Was this benefit information wrong? Tell us.

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

35% above the BLS role benchmark for software engineering aggregate.

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

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer 3, Atlas Vector Search San Francisco Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors. We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance. This role is based in San Francisco, CA with a hybrid work model. You would get to: - Implement new features within MongoDB's $search and $vectorSearch aggregation operators - Work cross-functionally with Product teams to define new query and index syntax - Identify and address performance bottlenecks in filter queries and nearest neighbor search - Have the opportunity to lead projects and own subsystems - Perform code reviews with peers, review technical designs, and mentor junior developers Ideally you will be: - 3+ years of experience working on large-scale backend systems - Experience writing high-performance applications in Java or another JVM language - A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback - Passionate about optimization, code quality, and problem solving - Bonus: experienced with Apache Lucene, vector databases, or high-throughput web services Success Measures - In 3 months you'll have a solid high-level understanding

Read the full description at www.mongodb.com. FewerJobs shows a preview and links to the original posting.