Senior Rust Software Engineer
Sydney
Spice AI
Composable, ready-to-use data and AI infrastructure pre-loaded with web3 data. Accelerate development of the next generation of intelligent software.
Building data and AI-driven software is still way too hard, even for advanced developers. At Spice AI, we’re helping developers combine code with data and machine learning (ML) to create truly intelligent, decision-making applications. Spice AI is on a mission to make this as easy as creating a modern web page.
Spice AI is the creator and primary maintainer of Spice.ai OSS; a unified SQL query interface and portable runtime to locally materialize, accelerate, and query data sourced from any database, data warehouse, or data lake. Spice OSS enables developers to build both data and AI-driven applications by co-locating data and ML models with applications. Read more about the vision to enable the development of intelligent AI-driven applications.
Spice AI is also building the Spice.ai Cloud Platform; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service.
Spice AI hires for MEI: Merit, Excellence, and Intelligence.
Founded in June 2021 by Microsoft and GitHub alumni Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt.
Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies like Dapr and OAM.
Spice AI is backed by some of the top industry angel investors and leaders, including Nat Friedman, Chairman of GitHub, Mark Russinovich, CTO of Microsoft Azure, and Thomas Dohmke, CEO of GitHub.
Spice AI also has notable VC backing from Madrona Venture Group, Basis Set Ventures, Founders' Co-op, and Picus Capital.
Learn more:
- On TechCrunch and GeekWire- About the team at spice.ai/careers- The Spice.ai general availability announcement blog post- The Spice.ai OSS project announcement blog post
Spice AI is the creator and primary maintainer of Spice.ai OSS; a unified SQL query interface and portable runtime to locally materialize, accelerate, and query data sourced from any database, data warehouse, or data lake. Spice OSS enables developers to build both data and AI-driven applications by co-locating data and ML models with applications. Read more about the vision to enable the development of intelligent AI-driven applications.
Spice AI is also building the Spice.ai Cloud Platform; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service.
Spice AI hires for MEI: Merit, Excellence, and Intelligence.
As a Senior Software Engineer, you will:
- Design and implement big data, distributed, blockchain, and machine learning systems using modern tech stacks in Golang and Python.
- Work with our founders to design the Spice.ai technical roadmap and architecture to deliver lasting value to customers.
- Build high-performance and scalable architecture to meet the evolution and needs of a rapidly growing platform.
- Grow your career with a team of experienced engineers, using the latest technologies like Apache Arrow, to create the modern data and AI platform for blockchains.
Who we are looking for:
- You are one of the smartest people you know.
- You are passionate about building amazing developer experiences. You start with a customer-obsessed product experience, and then figure out how to enable that with technology.
- You think differently. You do not accept the status-quo. You challenge the current model of the world and take leaps of faith to build it better for everyone.
- You are positive. Instead of focusing on limitations, you ask what’s possible.
- You care about meaningful work and changing the world. Your work is more than a job.
- You are comfortable with ambiguity and unknowns, and in these situations you lead by creating clarity.
- You are passionate about high performance and have high standards.
This experience would be ideal:
- 5+ years designing, implementing, and shipping production data and/or machine learning runtimes and distributed systems.
- Experience with real-time and batch big data sets and platforms, ideally 10-100+ TB.
- Solid understanding of modern data stacks, ideally in Spark, dbt, Dremio, Apache Iceberg and Arrow.
- Proficiency in Golang (Rust, C++, and Python experience are a bonus).
- A track record of good design, architectural, engineering and product decisions.
- Excellent communication skills.
Your First 90 Days:
- Days 0-30: ramp up and contribute improvements to the Spice.ai Data & AI Platform
- Days 31-60: co-build a major feature, like adding new chain support like Polygon
- Days 61-90: take technical and engineering ownership of a major initiative or area
Founded in June 2021 by Microsoft and GitHub alumni Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent apps that learn and adapt.
Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies like Dapr and OAM.
Spice AI is backed by some of the top industry angel investors and leaders, including Nat Friedman, Chairman of GitHub, Mark Russinovich, CTO of Microsoft Azure, and Thomas Dohmke, CEO of GitHub.
Spice AI also has notable VC backing from Madrona Venture Group, Basis Set Ventures, Founders' Co-op, and Picus Capital.
Learn more:
- On TechCrunch and GeekWire- About the team at spice.ai/careers- The Spice.ai general availability announcement blog post- The Spice.ai OSS project announcement blog post
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Architecture Arrow Azure Big Data Blockchain Data warehouse dbt Distributed Systems Engineering GitHub Golang Machine Learning ML models Python Rust Spark SQL
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
Australia
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