Senior Software Engineer – Agentic AI Analytics (Rust / Data Systems)

Title: Senior Software Engineer – Agentic AI Analytics (Rust / Data Systems)
Location: Glendale, CA – structured hybrid (in-office component required)
Compensation: 200,000 – 240,000 base + equity/benefits (DOE)

***NO C2C OR VISA CANDIDATES CAN BE ACCCEPTED***

Our client is building the next generation of AI-powered analytics so brands can finally see, in real time, which advertising actually works and why. This Senior Software Engineer role sits directly with the CTO on a highly visible initiative to build an agentic, AI-driven analytics engine from the ground up using Rust, Java, and modern OLAP concepts.

If you like owning hard performance problems, designing columnar/vectorized systems, and shipping code that powers decisions for the world’s biggest brands, this is a true impact seat, not a maintenance job.

Why this role

• Direct access to the CTO and a small, senior team driving our core AI analytics strategy, not a side project.
• Greenfield build of an Advanced Analytics Engine with vectorized query processing, columnar storage, and OLAP capabilities aimed at sub-second performance on marketing datasets.
• Heavy Rust and Java engineering with deep performance tuning, profiling, and hardware-aware optimization on large-scale cloud-native data systems.
• High-growth, ad measurement / analytics space with massive data volume, where your work shapes how brands, agencies, and media companies measure outcomes.
• Structured hybrid in Glendale, CA with strong comp, equity, and full benefits, plus a culture that emphasizes performance, learning, and fun.

Ideal candidate snapshot

• 12+ years total software engineering, including 5+ years architecting or building high-performance data/analytics or OLAP systems; 3+ years hands-on, production Rust, ideally having come from Java.
• Deep knowledge of columnar data engines, vectorized execution, query/dataframe optimization, and performance engineering at the system and hardware levels.
• Strong AWS experience (designing, deploying, and optimizing scalable data and compute systems in the cloud).
• Systems thinker who sees software, data, and infrastructure as one cohesive system; comfortable in fast-moving, startup-like environments.
• Solid statistics / data analysis foundation; bonus for exposure to AI-driven analytics and engines like Apache DataFusion, DuckDB, ClickHouse/chDB, or for refactoring large brownfield systems.