Senior Software Engineer, Inference Platform jobs in United States
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MongoDB · 1 day ago

Senior Software Engineer, Inference Platform

MongoDB is a leading database platform empowering customers to innovate rapidly. The Senior Engineer will build a next-generation inference platform for embedding models used in semantic search and AI-native experiences, collaborating with ML researchers to ensure tight integration with MongoDB Atlas.

Cloud ComputingDatabaseOpen SourceSaaSSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Backend systems developmentCloud-native architecturesDistributed systemsModel inferenceProgramming languagesContainer orchestrationVector search systemsCollaboration skillsProblem-solvingMentorship

Required

5+ years of experience building backend or infrastructure systems at scale
Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability
Experienced in cloud-native architectures, distributed systems, and multi-tenant service design
Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models
Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus
Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams
Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers

Preferred

Experience integrating infrastructure with production ML workloads
Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG)
Contributions to open-source infrastructure for ML serving or search

Benefits

Employee affinity groups
Fertility assistance
Generous parental leave policy

Company

MongoDB is a next-generation database that helps businesses transform their industries by harnessing the power of data.

H1B Sponsorship

MongoDB has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (159)
2024 (150)
2023 (133)
2022 (79)
2021 (51)
2020 (30)

Funding

Current Stage
Public Company
Total Funding
$311M
Key Investors
SalesforceEquityZenT. Rowe Price
2024-11-14Post Ipo Equity
2024-10-16Post Ipo Debt
2018-03-06Post Ipo Equity

Leadership Team

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Jim Scharf
Chief Technology Officer
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Ronnen Miller
SVP, Global Technical Services
Company data provided by crunchbase