Senior Software Engineer Agentic AI Analytics Rust Data Systems
Listed on 2026-01-19
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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 ACCEPTED***
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.
- 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 Data Fusion, DuckDB, Click House/chDB, or for refactoring large brownfield systems.
Compensation:
$240,000 per year
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