Senior Software Engineer, Inference Platform
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
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.
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 are looking to speak to candidates who are based in Palo Alto or Seattle 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
Who You Are
5+ years of experience building backend or infrastructure systems at scaleStrong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliabilityExperienced in cloud-native architectures, distributed systems, and multi-tenant service designFamiliar with concepts in ML model serving and inference runtimes, even if not directly deploying modelsKnowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plusComfortable working across functional teams, including ML researchers, backend engineers, and platform teamsMotivated to work on systems integrated into MongoDB Atlas and used by thousands of developersNice to Have
Experience integrating infrastructure with production ML workloadsUnderstanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG)Contributions to open-source infrastructure for ML serving or searchWhy Join Us
Be part of building the AI foundation of the world’s most popular developer data platformCollaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systemsTackle challenging problems in inference, observability, and distributed infrastructureWork in a culture that emphasizes mentorship, ownership, and technical excellenceMongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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