Quantitative Researcher

Acceler8 Talent; California; On-site; USD 180,000 - 260,000; Full time

Job summary

Acceler8 Talent is recruiting a Quantitative Researcher / Systems Engineer for an early-stage trading technology startup. You will build ultra-low-latency systems in C++ and Rust, driving performance via memory, concurrency, and OS optimizations.

You will develop research infrastructure for short-horizon trading strategies, collaborate with hardware engineers, and own end-to-end workflows from development to production. A PhD and strong C++ experience are highly valued.

Qualifications

• 1+ years of experience with C++.
• PhD (Doctor of Philosophy).

Responsibilities

• 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.

Skills

C++

Rust

OS fundamentals

Education

Doctor of Philosophy

Job description

Quantitative Researcher — Low-Latency Systems & Trading

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

Why join?

• 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.

Requirements added by the job poster

• 1+ years of work experience with C++
• Doctor of Philosophy