Quantitative Researcher

Acceler8 Talent; Redwood City (CA); Sur place; USD 160 000 - 230 000; Plein temps

Résumé du poste

Acceler8 Talent is seeking a Quantitative Researcher / Systems Engineer to build and optimize ultra-low-latency trading systems using C++ and Rust. You will work on memory, concurrency, networking and OS interactions, developing research infrastructure for short-horizon trading strategies and predictive models.

Join an early-stage trading technology startup with a strong hardware/engineering focus. You will own workflows from development through production deployment and collaborate with

Qualifications

• Strong C++ and Rust systems engineering background.
• Experience building performance-critical production software.
• Solid understanding of OS fundamentals.

Responsabilités

• Build and optimise performance-critical production systems using C++ and Rust.
• Work on low-level systems programming across memory, concurrency, networking and OS interactions.
• Develop research infrastructure for short-horizon trading strategies and predictive models.
• Optimise systems for extreme latency, throughput and computational constraints.
• Own research and engineering workflows from development through production deployment.
• Collaborate with hardware engineers to push trading performance beyond traditional software limits.
• Work on cutting-edge low-latency systems where microseconds matter.
• Join a highly technical founding team with backgrounds in elite quantitative trading and hardware engineering.
• Work across C++, Rust, operating systems, quantitative research and hardware/software co-design.
• Join at an early stage with significant technical ownership.
• Build greenfield infrastructure rather than maintaining legacy trading systems.
• Help develop an entirely new approach to electronic trading and exchange infrastructure.

Connaissances

C++

Rust

Low latency

Memory management

Concurrency

Networking

OS fundamentals

Description du poste

What if your next role let you build trading systems where C++, Rust and operating-system performance directly determine how quickly trades execute - with trading decisions happening on a single chip?

Our client - an early-stage trading technology startup founded by engineers from elite quantitative trading firms - is hiring a Quantitative Researcher / Systems Engineer.

They're building an entirely new exchange architecture, combining ultra-low-latency trading, performance-critical software and custom hardware to eliminate traditional network bottlenecks.

The role:

• Build and optimise performance-critical production systems using C++ and Rust
• Work on low-level systems programming across memory, concurrency, networking and OS interactions
• Develop research infrastructure for short-horizon trading strategies and predictive models
• Optimise systems for extreme latency, throughput and computational constraints
• Own research and engineering workflows from development through production deployment
• Collaborate with hardware engineers to push trading performance beyond traditional software limits
• Work on cutting-edge low-latency systems where microseconds matter
• Join a highly technical founding team with backgrounds in elite quantitative trading and hardware engineering
• Work across C++, Rust, operating systems, quantitative research and hardware/software co-design
• Join at an early stage with significant technical ownership
• Build greenfield infrastructure rather than maintaining legacy trading systems
• Help develop an entirely new approach to electronic trading and exchange infrastructure

A traditional quantitative research background isn't essential. We're particularly interested in exceptional C++ / Rust systems engineers who have built performance-critical production software and understand OS fundamentals.