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Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!

MongoDB

Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!

full-timePosted: Feb 6, 2026

Job Description

Senior Software Engineer, Inference Platform at MongoDB - Palo Alto, California

Role Overview

MongoDB, the modern developer data platform, is hiring a Senior Software Engineer, Inference Platform to build the next-generation AI inference infrastructure powering MongoDB Atlas. Join our Search and AI Platform team in Palo Alto, California to create real-time, low-latency inference systems for semantic search, vector embeddings, and AI-native developer experiences.

From our recent Voyage.ai acquisition, you'll collaborate with top ML researchers to productionize embedding models, rerankers, and hybrid retrieval systems directly integrated with MongoDB's NoSQL database. This hybrid role focuses on scalable, multi-tenant infrastructure using tools like vLLM, Kubernetes, and cloud-native architectures.

Own core components of the inference platform that serve thousands of developers building AI applications on MongoDB Atlas – the world's most popular developer data platform supporting AWS, Google Cloud, and Azure.

Key Responsibilities at MongoDB

  • Design and implement multi-tenant inference platform components integrated directly with MongoDB Atlas for semantic search and hybrid retrieval.
  • Partner with AI engineers and ML researchers to productionize embedding models and rerankers for both batch and real-time inference use cases.
  • Build platform features including latency-aware routing, model versioning, health monitoring, and comprehensive observability.
  • Optimize performance, autoscaling, GPU utilization, and resource efficiency in cloud-native environments.
  • Collaborate across product, infrastructure, and ML teams to meet Atlas-scale reliability and latency requirements.
  • Gain hands-on experience with vLLM inference engine and Kubernetes container orchestration.
  • Drive integration between inference systems and MongoDB's vector search capabilities like Faiss, HNSW, and ScaNN.
  • Contribute to developer-first experiences enabling AI-native applications on the MongoDB platform.
  • Ensure seamless scalability for 75% of Fortune 100 companies using MongoDB Atlas.

Qualifications & Requirements

  • 5+ years building backend or infrastructure systems at scale in high-performance environments.
  • Expertise in Go, Rust, Python, or C++ with focus on performance-critical systems and reliability.
  • Deep experience with cloud-native architectures, distributed systems, and multi-tenant service design.
  • Familiarity with ML model serving, inference runtimes, and vector databases even without direct model deployment.
  • Bonus: Knowledge of vector search algorithms (Faiss, HNSW, ScaNN) and hybrid retrieval systems.
  • Proven ability to collaborate across functional teams including ML researchers, backend engineers, and platform teams.
  • Passion for building systems integrated into MongoDB Atlas used by thousands of developers worldwide.

Nice to Have: Production ML workload integration, RAG systems, or open-source contributions to ML serving infrastructure.

Salary & Benefits

Competitive compensation for Senior Software Engineer, Inference Platform roles in Palo Alto, California typically ranges from $180,000 - $260,000 USD base salary plus equity, bonuses, and comprehensive benefits. Total compensation varies based on experience.

  • Competitive Equity Packages with significant upside potential.
  • MongoDB University for continuous learning and certification.
  • Global Family Leave and generous parental leave policies.
  • Wellness Programs including gym reimbursements and mental health support.
  • Fertility Assistance and family planning benefits.
  • Employee Affinity Groups for diversity and inclusion.
  • Hybrid Work Model in beautiful Palo Alto offices.
  • Comprehensive Health Insurance with global coverage.

Why Join MongoDB?

Be at the forefront of the AI era database revolution with MongoDB – powering 60,000 customers including 75% of Fortune 100. Build the AI foundation of the world's most popular developer data platform.

  • Work with Voyage.ai ML researchers bringing cutting-edge ideas to production scale.
  • Tackle hard problems in real-time inference, observability, and distributed infrastructure.
  • Thrive in a culture of mentorship, ownership, and technical excellence.
  • Join a global team innovating at market speed across multi-cloud environments.

MongoDB Atlas is the only globally distributed, multi-cloud database – and you're building its AI-native future.

How to Apply

Ready to power AI inference at MongoDB scale? Apply now for the Senior Software Engineer, Inference Platform position in Palo Alto, California. Limited hybrid roles available – don't miss your chance to shape the future of developer data platforms.

Submit your resume highlighting MongoDB, NoSQL, distributed systems, and ML infrastructure experience. Join us in redefining databases for the AI era!

Locations

  • Palo Alto, California, United States

Salary

Estimated Salary Rangehigh confidence

189,000 - 286,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • MongoDB Atlasintermediate
  • NoSQL Databasesintermediate
  • Go Programmingintermediate
  • Rust Developmentintermediate
  • Python Engineeringintermediate
  • Kubernetes Orchestrationintermediate
  • Distributed Systemsintermediate
  • ML Model Servingintermediate
  • Vector Searchintermediate
  • Semantic Searchintermediate
  • vLLM Inferenceintermediate
  • Cloud-Native Architectureintermediate
  • GPU Optimizationintermediate
  • Multi-Tenant Platformsintermediate
  • Hybrid Retrievalintermediate

Required Qualifications

  • 5+ years of experience building backend or infrastructure systems at scale (experience)
  • Strong software engineering skills in Go, Rust, Python, or C++ with emphasis on performance and reliability (experience)
  • Experienced in cloud-native architectures, distributed systems, and multi-tenant service design (experience)
  • Familiar with ML model serving and inference runtimes (experience)
  • Knowledge of vector search systems like Faiss, HNSW, or ScaNN (experience)
  • Comfortable collaborating across ML researchers, backend engineers, and platform teams (experience)

Responsibilities

  • Design and build multi-tenant inference platform integrated with MongoDB Atlas
  • Collaborate with AI engineers to productionize embedding models and rerankers
  • Develop latency-aware routing, model versioning, and health monitoring
  • Optimize performance, autoscaling, GPU utilization, and resource efficiency
  • Integrate inference platform with Atlas for semantic search and hybrid retrieval
  • Implement real-time and batch inference capabilities at scale
  • Work across product, infrastructure, and ML teams for platform reliability
  • Contribute to container orchestration using Kubernetes and vLLM
  • Ensure low-latency, high-scale inference for developer-first experiences

Benefits

  • general: Competitive Equity Packages
  • general: MongoDB University Training
  • general: Global Family Leave Policy
  • general: Wellness Programs and Gym Reimbursements
  • general: Fertility Assistance Benefits
  • general: Employee Affinity Groups
  • general: Generous Parental Leave
  • general: Hybrid Work Model in Palo Alto
  • general: Mentorship and Technical Excellence Culture
  • general: Comprehensive Health Insurance

Target Your Resume for "Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!" , MongoDB

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Tags & Categories

MongoDBAIInferenceAtlasSoftware EngineerPalo AltoKubernetesvLLMVector SearchML PlatformSenior Software Engineer Inference Platform MongoDBMongoDB Atlas AI jobs Palo AltovLLM Kubernetes engineer MongoDBML inference platform careersVector search developer MongoDBGo Rust Python MongoDB jobsDistributed systems engineer AtlasSemantic search infrastructure jobsHybrid retrieval MongoDB careersCloud native ML serving engineerPalo Alto software engineer jobsMongoDB Voyage.ai engineeringGPU optimization inference platformMulti-tenant AI infrastructure jobsRAG systems MongoDB developerNoSQL database AI engineerPTO Atlas Search

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MongoDB logo

Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!

MongoDB

Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!

full-timePosted: Feb 6, 2026

Job Description

Senior Software Engineer, Inference Platform at MongoDB - Palo Alto, California

Role Overview

MongoDB, the modern developer data platform, is hiring a Senior Software Engineer, Inference Platform to build the next-generation AI inference infrastructure powering MongoDB Atlas. Join our Search and AI Platform team in Palo Alto, California to create real-time, low-latency inference systems for semantic search, vector embeddings, and AI-native developer experiences.

From our recent Voyage.ai acquisition, you'll collaborate with top ML researchers to productionize embedding models, rerankers, and hybrid retrieval systems directly integrated with MongoDB's NoSQL database. This hybrid role focuses on scalable, multi-tenant infrastructure using tools like vLLM, Kubernetes, and cloud-native architectures.

Own core components of the inference platform that serve thousands of developers building AI applications on MongoDB Atlas – the world's most popular developer data platform supporting AWS, Google Cloud, and Azure.

Key Responsibilities at MongoDB

  • Design and implement multi-tenant inference platform components integrated directly with MongoDB Atlas for semantic search and hybrid retrieval.
  • Partner with AI engineers and ML researchers to productionize embedding models and rerankers for both batch and real-time inference use cases.
  • Build platform features including latency-aware routing, model versioning, health monitoring, and comprehensive observability.
  • Optimize performance, autoscaling, GPU utilization, and resource efficiency in cloud-native environments.
  • Collaborate across product, infrastructure, and ML teams to meet Atlas-scale reliability and latency requirements.
  • Gain hands-on experience with vLLM inference engine and Kubernetes container orchestration.
  • Drive integration between inference systems and MongoDB's vector search capabilities like Faiss, HNSW, and ScaNN.
  • Contribute to developer-first experiences enabling AI-native applications on the MongoDB platform.
  • Ensure seamless scalability for 75% of Fortune 100 companies using MongoDB Atlas.

Qualifications & Requirements

  • 5+ years building backend or infrastructure systems at scale in high-performance environments.
  • Expertise in Go, Rust, Python, or C++ with focus on performance-critical systems and reliability.
  • Deep experience with cloud-native architectures, distributed systems, and multi-tenant service design.
  • Familiarity with ML model serving, inference runtimes, and vector databases even without direct model deployment.
  • Bonus: Knowledge of vector search algorithms (Faiss, HNSW, ScaNN) and hybrid retrieval systems.
  • Proven ability to collaborate across functional teams including ML researchers, backend engineers, and platform teams.
  • Passion for building systems integrated into MongoDB Atlas used by thousands of developers worldwide.

Nice to Have: Production ML workload integration, RAG systems, or open-source contributions to ML serving infrastructure.

Salary & Benefits

Competitive compensation for Senior Software Engineer, Inference Platform roles in Palo Alto, California typically ranges from $180,000 - $260,000 USD base salary plus equity, bonuses, and comprehensive benefits. Total compensation varies based on experience.

  • Competitive Equity Packages with significant upside potential.
  • MongoDB University for continuous learning and certification.
  • Global Family Leave and generous parental leave policies.
  • Wellness Programs including gym reimbursements and mental health support.
  • Fertility Assistance and family planning benefits.
  • Employee Affinity Groups for diversity and inclusion.
  • Hybrid Work Model in beautiful Palo Alto offices.
  • Comprehensive Health Insurance with global coverage.

Why Join MongoDB?

Be at the forefront of the AI era database revolution with MongoDB – powering 60,000 customers including 75% of Fortune 100. Build the AI foundation of the world's most popular developer data platform.

  • Work with Voyage.ai ML researchers bringing cutting-edge ideas to production scale.
  • Tackle hard problems in real-time inference, observability, and distributed infrastructure.
  • Thrive in a culture of mentorship, ownership, and technical excellence.
  • Join a global team innovating at market speed across multi-cloud environments.

MongoDB Atlas is the only globally distributed, multi-cloud database – and you're building its AI-native future.

How to Apply

Ready to power AI inference at MongoDB scale? Apply now for the Senior Software Engineer, Inference Platform position in Palo Alto, California. Limited hybrid roles available – don't miss your chance to shape the future of developer data platforms.

Submit your resume highlighting MongoDB, NoSQL, distributed systems, and ML infrastructure experience. Join us in redefining databases for the AI era!

Locations

  • Palo Alto, California, United States

Salary

Estimated Salary Rangehigh confidence

189,000 - 286,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • MongoDB Atlasintermediate
  • NoSQL Databasesintermediate
  • Go Programmingintermediate
  • Rust Developmentintermediate
  • Python Engineeringintermediate
  • Kubernetes Orchestrationintermediate
  • Distributed Systemsintermediate
  • ML Model Servingintermediate
  • Vector Searchintermediate
  • Semantic Searchintermediate
  • vLLM Inferenceintermediate
  • Cloud-Native Architectureintermediate
  • GPU Optimizationintermediate
  • Multi-Tenant Platformsintermediate
  • Hybrid Retrievalintermediate

Required Qualifications

  • 5+ years of experience building backend or infrastructure systems at scale (experience)
  • Strong software engineering skills in Go, Rust, Python, or C++ with emphasis on performance and reliability (experience)
  • Experienced in cloud-native architectures, distributed systems, and multi-tenant service design (experience)
  • Familiar with ML model serving and inference runtimes (experience)
  • Knowledge of vector search systems like Faiss, HNSW, or ScaNN (experience)
  • Comfortable collaborating across ML researchers, backend engineers, and platform teams (experience)

Responsibilities

  • Design and build multi-tenant inference platform integrated with MongoDB Atlas
  • Collaborate with AI engineers to productionize embedding models and rerankers
  • Develop latency-aware routing, model versioning, and health monitoring
  • Optimize performance, autoscaling, GPU utilization, and resource efficiency
  • Integrate inference platform with Atlas for semantic search and hybrid retrieval
  • Implement real-time and batch inference capabilities at scale
  • Work across product, infrastructure, and ML teams for platform reliability
  • Contribute to container orchestration using Kubernetes and vLLM
  • Ensure low-latency, high-scale inference for developer-first experiences

Benefits

  • general: Competitive Equity Packages
  • general: MongoDB University Training
  • general: Global Family Leave Policy
  • general: Wellness Programs and Gym Reimbursements
  • general: Fertility Assistance Benefits
  • general: Employee Affinity Groups
  • general: Generous Parental Leave
  • general: Hybrid Work Model in Palo Alto
  • general: Mentorship and Technical Excellence Culture
  • general: Comprehensive Health Insurance

Target Your Resume for "Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!" , MongoDB

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now!" , MongoDB

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MongoDBAIInferenceAtlasSoftware EngineerPalo AltoKubernetesvLLMVector SearchML PlatformSenior Software Engineer Inference Platform MongoDBMongoDB Atlas AI jobs Palo AltovLLM Kubernetes engineer MongoDBML inference platform careersVector search developer MongoDBGo Rust Python MongoDB jobsDistributed systems engineer AtlasSemantic search infrastructure jobsHybrid retrieval MongoDB careersCloud native ML serving engineerPalo Alto software engineer jobsMongoDB Voyage.ai engineeringGPU optimization inference platformMulti-tenant AI infrastructure jobsRAG systems MongoDB developerNoSQL database AI engineerPTO Atlas Search

Answer 10 quick questions to check your fit for Senior Software Engineer, Inference Platform Careers at MongoDB - Palo Alto, California | Apply Now! @ MongoDB.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.