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Pod Networkvia Ashby

Backend Engineer (HFT / Low-Latency Systems)

REMOTEPosted 7mo ago
backendMid LevelFull-time#remote

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About the 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.
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