Senior/Staff Software Engineer, Search & Retrieval Infrastructure
Pinecone · US Remote
CHECKED 17H AGO
Infrastructureremotesenior, staff$190k–$270k
At a glance
Highlights
- Design and build core components of next-gen knowledge retrieval system
- Build indexing pipelines connecting structured and unstructured data to LLMs
- Optimize latency, throughput and cost for large-scale retrieval workloads
What they offer
- Comprehensive health coverage including medical, dental, vision and mental health resources
- 401(k) plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual company retreat
- WFH equipment stipend
Ideal candidate
Backend builder with 6+ years shipping large-scale systems who loves turning messy data into knowledge and owns ambiguous problems end-to-end with product thinking.
Requirements
- Typically 6+ years shipping production-grade backends for large-scale systems
- Experience building high-throughput indexing pipelines for structured and unstructured data
- Experience with semantic search, vector databases, hybrid retrieval or search engines like Elastic or OpenSearch
- Understanding of RAG patterns, embedding pipelines, query planning and metadata filtering
- Expert in Go, Rust, C++, Java, or Python
- Familiarity with Kubernetes, cloud-native architectures, observability frameworks and Terraform or Pulumi
Lab profile
About Pinecone
Trusted AI knowledge company building vector database for accurate, fast AI applications.
What they build
- Pinecone Database
- Pinecone Nexus
- Pinecone Marketplace
Known for
- Vector search and retrieval infrastructure
- Accurate, fast AI applications
- Cost-effective knowledge platform at scale
Key facts
- Based in New York
- 10,000+ customers and 1M developers worldwide
- Raised $138M from Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital