We’re an early-stage company building next-generation data infrastructure for AI applications. Our mission is to help developers and organizations manage and retrieve multimodal data efficiently — from large-scale vector search to real-time dataset exploration.

Our team includes engineers with deep experience in machine learning systems, distributed data processing, and open-source software. Together, we’re shaping the backbone for the next wave of AI-native products.

About the Role

We’re seeking a Senior Software Engineer (Vector Search) to design and optimize high-performance indexing and search systems at the core of our platform. You’ll work on cutting-edge algorithms and data structures that make AI-driven data retrieval faster, smarter, and more scalable.

Responsibilities

Design, build, and maintain vector indexing and search components.
Implement GPU-accelerated algorithms for similarity search and clustering.
Improve performance using techniques such as quantization, graph-based search, and pruning.
Develop integrations for full-text and multimodal search.
Benchmark, profile, and tune system performance for large-scale workloads.
Contribute to documentation, performance reports, and internal technical blogs.

Qualifications

Strong proficiency in Rust, with additional experience in C/C++ for low-level systems programming.
Practical experience implementing vector search or indexing algorithms (e.g., HNSW, IVF, PQ).
Familiarity with GPU frameworks such as CUDA or ROCm.
Skilled in benchmarking, profiling, and optimizing performance-critical code.
Excellent communication and collaboration skills.

Bonus Skills: