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22 articlesTrier
1:34:29ENJacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.
1:34:36ENNate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.
29:36ENJane Street on GPU Infrastructure, Trading and HiringDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel speaks with Ron Minsky and Dan Pontecorvo about trading at different speeds, building data centers and expanding compute and teams.
15:48ENInside Jane Street’s Texas AI Data CenterDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel tours a 4,032-GPU training facility with Ron Minsky and Dan Pontecorvo, examining liquid cooling, power distribution and operational safeguards.
1:08:22ENMark Doss on Production Engineering for High-Stakes TradingMark Doss · Jane StreetWhy every order matters, how event-based monitoring detects unexpected failures, and what a realistic incident reveals about trading operations.
1:22:49ENBryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.
58:47ENDaniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.
27:16ENTudor Brindus on Finding and Reducing System JitterTudor Brindus · Jane StreetA memory ping-pong benchmark reveals how virtualization, interrupts, CPU frequency changes and speculation can disrupt low-latency systems.
1:06:23ENSylvain Gugger on Accelerating ML Models and Reproducing ResultsYaron Minsky, Sylvain Gugger · Jane StreetFrom learning-rate schedules to GPU bottlenecks and noisy market data, Sylvain Gugger explains how he approaches practical machine-learning performance.
3:18ENRory on Production Engineering and Incident Support at Jane StreetRory · Jane StreetA production engineer describes monitoring order engines, responding to outages and building a supportive team.
3:16ENJP on Machine Learning and Trading at Jane StreetJP · Jane StreetA Hong Kong equities trader describes his changing workday, the growth of research infrastructure, and the distinctive challenges of machine learning in finance.
55:34ENAndrew Hunter on Performance Engineering for Low-Latency SystemsYaron Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.
6:42ENEzio on Linux Engineering and Collaboration at Jane StreetEzio · Jane StreetA London engineer explains his team’s infrastructure work, the Pride community group and why new hires should ask questions.
3:03ENRajan on IT, Collaboration and Learning at Jane StreetRajan · Jane StreetRajan describes the IT team's role supporting critical systems and the problem-solving skills he brought from studying chemistry.
1:00:28ENElla Ehrlich on Modernizing a Critical Trading SystemYaron Minsky, Ella Ehrlich · Jane StreetJane Street’s Gord team rebuilt parts of a legacy data pipeline while preserving availability, and Ehrlich describes the recruiting programs she helped develop.
1:12:09ENDoug Patti on State Machine Replication at Jane StreetYaron Minsky, Doug Patti · Jane StreetHow Concord and Aria use ordered logs and deterministic state machines to build recoverable trading services.
44:34ENChris Perl on Keeping Network Clocks in SyncYaron Minsky, Chris Perl · Jane StreetHow NTP, PTP and hardware timestamps work together to keep Jane Street’s clocks within a measurable error bound.
1:02:18ENBrian Nigito on Multicast and the Architecture of MarketsYaron Minsky, Brian Nigito · Jane StreetWhy exchanges use ordered event streams, multicast and specialized networking to distribute market data quickly and fairly.
59:26ENAndy Ray on FPGAs, Hardware Design and HardcamlYaron Minsky, Andy Ray · Jane StreetJane Street’s hardware design lead explains why programmable circuits can improve performance and how software tooling makes them easier to build and test.
57:57ENSebastian Funk on a Fast, Safe and Maintainable Packet ProcessorSebastian Funk · Jane StreetA single-core market-data case study shows how latency targets, allocation control and generated code can coexist with high-level abstractions.
1:06:51ENMarius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.
1:06:49ENBryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.