Software Engineer

Goliath Partners Inc.; Northern (KY); On-site; USD 500,000 - 600,000; Full time

Benefits offered by this job

Fully remote

Job summary

Goliath Partners Inc. is building a next-generation quantitative trading desk from the ground up. Join an AI-native environment to push hardware performance and network latency to sub-microsecond market execution.

You will architect end-to-end C++ pipelines and lead greenfield back-testing with Python and Kafka, working with researchers to deploy AI-driven alpha into production trading logic. The role offers a highly aggressive compensation package and uncapped bonus, fully remote.

Qualifications

• Production-level C++/Python with focus on performance.
• Experience building low-latency distributed systems.
• Degree in CS/CE from a top-tier university.

Responsibilities

• Architect and deploy end-to-end C++ trading pipelines processing tens of millions of market messages daily.
• Lead greenfield back-testing environment using Python and Apache Kafka to accelerate AI model deployment.
• Implement hardware-optimized code with kernel bypass, CPU affinity, and FPGA integration for sub-microsecond latency.
• Collaborate with researchers to translate AI-driven alpha into production execution logic.

Skills

Modern C++ (17/20)

Python

Low-latency systems

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Apache Kafka

Linux kernel anternals

Job description

Our client is building a next-generation quantitative trading desk from the ground up, and they need an elite engineer to architect the core execution engine. This role is not about maintaining legacy infrastructure. You will be joining an entirely AI-native environment, pushing the physical limits of network latency and hardware performance to directly convert complex machine learning models and mathematical strategies into sub-microsecond market execution.

What You Will Build

• Architect and deploy end-to-end C++ trading pipelines designed to flawlessly process tens of millions of market messages daily without dropping a single packet.
• Lead a greenfield initiative to construct a distributed, ultra-high-throughput back-testing environment using Python and Apache Kafka to accelerate AI model deployment.
• Implement hardware-optimized code utilizing kernel bypass, CPU affinity, and FPGA integration to consistently achieve sub-microsecond tick-to-trade latency.
• Sit directly alongside quantitative researchers and machine learning engineers to translate theoretical, AI-driven alpha into highly optimized, production-ready execution logic.

The Ideal Skillset

• Deep, production-level expertise in modern C++ (17/20) and Python, with an absolute obsession for performance, memory management, and clean architecture within an AI-native stack.
• A proven track record of building ultra-low latency, highly concurrent distributed systems.
• Exceptional academic foundation with a degree in Computer Science, Computer Engineering, or a heavily quantitative field from a top-tier university.
• Comprehensive knowledge of Linux OS internals, network protocols (TCP/UDP, multicast), and lock-free concurrent programming.

Our client operates a pure meritocracy where the best technical solution always wins. The position offers a highly aggressive compensation package, an uncapped bonus structure tied directly to the performance of the systems you build, and a clear upward trajectory.

Compensation: $500k base + equity (Fully Remote)

If interested, reply and Goliath Partners will be in touch!