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...

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