Senior Software Engineer, Inference Platform

Benefits

Parental leave

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Non-birth-parent leave

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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

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Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

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Verification

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Salary

$126K-$248K From the posting source checked Jun 20, 2026

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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

U.S. benchmark only; posted salary is not compared across countries or currencies.

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

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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

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer, Inference Platform Palo Alto About the Role We're looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas. You'll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we're building infrastructure for real-time, low-latency, and high-scale inference - fully integrated with Atlas and designed for developer-first experiences. As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use. We're looking to speak with candidates in Palo Alto for our hybrid working model. What You'll Do - Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval - Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers - enabling both batch and real-time use cases - Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability - Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment - Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users - Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes

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