Senior Rust Software Engineer

December 3, 2024

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Logo of Spice AI

Spice AI

Spice AI is a company specializing in delivering data and AI infrastructure through its Spice Cloud Platform. This enterprise-grade solution provides managed services for composing SQL query acceleration, vector search, model serving, and an AI gateway as a unified AI backend-as-a-service. The platform supports developers in building AI-driven applications by offering easy access to high-quality datasets, machine learning pipelines, and infrastructure management solutions. It aims to simplify the creation of data and AI-driven apps by providing necessary building blocks and eliminating the need for complex infrastructure management. Spice AI is particularly focused on enabling developers to leverage AI and time-series data efficiently without the need for extensive expertise in data science or machine learning.

2 - 10 employees

πŸ€– Artificial Intelligence

☁️ SaaS

🌐 Web 3

πŸ’° $13.5M Seed Round on 2022-09

πŸ“‹ Description

β€’ Building data-driven AI applications and agents is too complex, even for advanced developers. At Spice AI, we’re making it simpler by helping developers combine code, data, and AI to build truly intelligent, decision-making systems. β€’ We created Spice.ai OSS, a portable AI database written in Rust with a unified SQL interface to query, materialize, and accelerate data from any source, co-located with machine learning models. β€’ For a deeper dive into the vision, watch Luke's CMU Databases talk on Spice.ai OSS and read his Materialized View interview. β€’ We're also building the Spice.ai Cloud Platform, offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. β€’ At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, top-tier engineers - A players - who are driven to solve hard problems and push the boundaries of what's possible for AI.

🎯 Requirements

β€’ 5+ years designing, implementing, and shipping production data and/or machine learning runtimes and distributed systems. β€’ Experience with real-time and batch big data sets and platforms, ideally 10-100+ TB. β€’ Solid understanding of modern data stacks, ideally in Spark, dbt, Dremio, Apache Iceberg and Arrow. β€’ Proficiency in Golang (Rust, C++, and Python experience are a bonus). β€’ A track record of good design, architectural, engineering and product decisions. β€’ Excellent communication skills.

πŸ–οΈ Benefits

β€’ Superannuation β€’ competitive startup equity is offered for this position.

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