Remote Systems Engineer – High-Performance DEX Engine (LATAM)

nexus.xyz; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Nexus is hiring Sr Systems Engineers in Latin America to work at the core of Nexus’s execution stack — contributing to the runtime behind our Layer 1 protocol and the high-performance engine that powers decentralized trading.

This role focuses on performance-critical systems where microseconds matter, shaping how orders are processed and state transitions are computed across the network. Remote collaboration with San Francisco teams is expected.

Qualifications

• Strong experience with Rust, C++, Go, or other systems programming languages.
• Understanding of high-performance or distributed systems.
• Ability to think in terms of execution flows and concurrency models.
• Practical experience profiling CPU, memory, and synchronization overhead.
• Comfort working close to runtime constraints where performance matters.

Responsibilities

• Design and implement high-performance components in Rust, C++, or Go for Nexus’s DEX engine and protocol runtime.
• Build low-latency pipelines for order execution, event propagation, and state updates.
• Optimize concurrency, scheduling, memory layout, and I/O paths for determinism and throughput.
• Contribute to evolution of execution abstractions at the protocol layer.
• Work with protocol engineers to ensure safety, composability, and consensus compatibility.
• Investigate and resolve performance bottlenecks using profiling and benchmarking.
• Help define standards for reliability and high-assurance distributed execution.
• For senior/principal candidates: Drive system design decisions and mentor others.

Skills

Rust

C++

Go

Distributed systems

Low-latency

Profiling

Job description

Nexus is hiring Sr Systems Engineers in Latin America to work at the core of Nexus’s execution stack — contributing to the runtime behind our Layer 1 protocol and the high-performance engine that powers decentralized trading.

This role focuses on performance-critical systems where microseconds matter, shaping how orders are processed and state transitions are computed across the network. Remote collaboration with San Francisco teams is expected.