Research Engineer

Acquire Me; Miami (FL); On-site; USD 120,000 - 190,000; Full time

Job summary

Acquire Me in Miami is seeking a Research Engineer to tackle complex problems across high-performance systems, quantitative research, and machine learning. You’ll work with researchers and engineers to build scalable production software, optimize performance, and craft tools that enable real-world outcomes.

The role involves collaborating on systems where improvements are measurable and ownership is encouraged within small, high-caliber teams.

Qualifications

• Strong software engineering fundamentals.
• Proficient in C++, Python, Rust or similar languages.
• Experience building production systems, infrastructure, or data platforms.
• Strong analytical and problem-solving skills.
• Interest in performance optimization and distributed systems.

Responsibilities

• Build scalable production systems and tooling for quantitative research.
• Collaborate with researchers to optimize performance-critical applications.
• Develop infrastructure and data pipelines for large-scale datasets.

Skills

Software fundamentals

C/C++

Python

Rust

Distributed systems

Job description

Research Engineer - Global Quant Fund - Miami

We're looking for exceptional engineers to solve complex technical problems across high-performance systems, quantitative research, machine learning, and large-scale infrastructure.

You'll work closely with researchers and engineers to build scalable production systems, optimize performance-critical applications, and develop tools that drive real-world outcomes.

What We’re Looking For:

• Strong software engineering fundamentals
• Professional experience with C++, Python, Rust, or similar languages
• Experience building production systems, infrastructure, or data platforms
• Strong analytical and problem-solving skills
• Interest in performance optimization, distributed systems, machine learning, or quantitative applications

Nice to Have:

• Low-latency or high-performance computing experience
• Machine learning or data-intensive systems experience
• Quantitative, scientific, or mathematical background
• Experience working on large-scale distributed systems

Why this role:

• Work on systems where improvements are measurable and immediate
• Small, high-calibre teams with real ownership
• Compensation at the top end of the market