Senior Software Engineer / Research Engineer – Large‑Scale Statistical Systems
Company: CPMC LLC
Location: Remote (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-01
About this role
Senior Software Engineer / Research Engineer – Large‑Scale Statistical Systems (USCB Program)
Experience: 10+ years software engineering; 5+ years Python/R. Would consider # of years experience with PHD in a quantitative discipline.
#### Overview
CPMC is seeking a Senior Software Engineer who thrives on technically demanding problems involving large-scale computation, complex algorithms, and high‑performance data processing. You will engineer the U.S. Census Bureau’s Disclosure Avoidance System (DAS), a system that executes advanced statistical and differential privacy algorithms across massive datasets.
#### This role is ideal for an engineer who enjoys:
- Understanding how algorithms behave under realworld scale
- Turning research prototypes into robust, high‑performance systems
- Diagnosing subtle numerical, performance, or correctness issues
- Building distributed systems that must be reproducible, efficient, and scientifically trustworthy
You’ll be building the computational machinery that makes cutting‑edge statistical methods run reliably at national scale.
#### Key Responsibilities
- Engineer productiongrade implementations of complex statistical and differential privacy algorithms, ensuring correctness, stability, and performance
- Translate research code (Python/R) into optimized, maintainable systems, often requiring algorithmic insight and careful handling of numerical edge cases
- Design and optimize largescale data processing pipelines for ingestion, transformation, validation, and output generation
- Profile, benchmark, and optimize distributed workloads (Spark, EMR, containerized compute) to reduce runtime and cost
- Diagnose algorithmic performance issues—from data skew to solver behavior to memory pressure
- Collaborate deeply with statisticians to understand algorithmic assumptions, constraints, and expected behavior under scale
- Develop reproducible experiment frameworks, including parameter tracking, environment isolation, a...