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Backend Engineer (HFT / Low-Latency Systems)
US remote full time senior Oct 16, 2025
Skills
About this role
Pod Network is rethinking blockchain performance from first principles. If you’ve pushed systems to nanosecond-level determinism and want to apply that mindset to a global decentralized exchange layer, this role is for you.
ABOUT THE ROLE:
We’re looking for engineers with high-frequency trading (HFT) or ultra-low-latency systems experience to help architect and optimize our execution and matching infrastructure. You’ll work on the core runtime and networking stack that powers sub-millisecond order propagation and deterministic settlement across a distributed validator network.
WHAT YOU’LL DO:
- Design and implement latency-critical components of the pod L1 and order book engine.
- Optimize network pipelines, serialization, and state access for deterministic performance.
- Contribute to new protocol primitives for timestamped execution and atomic batch auctions.
- Collaborate with researchers on incentive design and cross-domain settlement models.
QUALIFICATIONS:
- Experience building or optimizing HFT systems, exchange matching engines, or low-latency trading infra.
- Strong systems background (Rust, C++, or Go).
- Deep understanding of concurrency, networking, and performance profiling.
- (Bonus) Experience with blockchains, consensus, or distributed systems.
WHAT WE OFFER:
- Competitive salary.
- High-impact role in an ambitious, fast-moving startup.
- Travel opportunities and thought leadership visibility in the crypto community.
ABOUT POD NETWORK:
We are an ambitious, early-stage Web3 startup building a revolutionary new layer-1 protocol designed to bring Web2-like experience to Web3 systems. Our team is creating a chainless, blockless, leaderless protocol that challenges the conventional notion of consensus. Read more about pod network here. https://pod.network
We’re backed by a16z crypto, 1kx, BBF, and Lemniscap—and we’re looking for exceptional engineers to help us shape the future of decentralized systems.