Services

Retained engineering search across six specialist practices.

Every practice runs on the same operating system: brief intake, domain classification, calibrated vetting matrix, shortlist memos, and a 12-month retention guarantee. Pick the practice closest to your roadmap — or talk to us about a hybrid mandate.

01
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Quantitative Developer Placement

Sub-µs C++/Rust engineers for systematic funds, market-making desks, and execution platforms. We screen for lock-free concurrency, NUMA-aware design, custom allocators, and live order-book simulation — not Leetcode polish.

  • C++20 / Rust / kdb+ / OCaml
  • Signal & alpha research engineers
  • Execution and OMS platform builders
02
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Distributed Consensus Staffing

Protocol engineers for L1/L2 chains, sequencers, rollups, and MEV infrastructure. Candidates are vetted on BFT internals, cryptographic primitives, deterministic replay, and shipped protocol references.

  • BFT, Tendermint, HotStuff variants
  • Sequencer and rollup engineering
  • MEV, intents, shared sequencing
03
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Zero-Knowledge & Cryptography

ZK circuit engineers, proving-system builders, and applied cryptographers fluent in Halo2, Plonky3, custom arithmetization, and recursion. We assess on circuit-level optimization and proving-time engineering, not theory alone.

  • Halo2 / Plonky3 / Risc0 / SP1
  • Custom arithmetization & lookups
  • Applied cryptography & FHE
04
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ML Infrastructure & Systems

Engineers who own the substrate — CUDA kernels, distributed training, inference serving, and the GPU economics behind frontier models. Scored on kernel fluency, parallelism strategy, and production-scale receipts.

  • CUDA / Triton / kernel authors
  • Distributed training at scale
  • Inference platforms & GPU economics
05
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Low-Latency Systems Engineering

Kernel-bypass networking, FPGA co-design, deterministic IO, and lock-free data structures. For desks where the difference between profit and noise is a handful of nanoseconds.

  • Solarflare, DPDK, RDMA
  • FPGA / Verilog co-design
  • Deterministic latency tuning
06
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Research Engineering

The translation layer — engineers who can read a paper, prototype it on a cluster, and ship it to production. Common in quant research, ML labs, and protocol R&D teams.

  • Paper-to-production prototyping
  • Cluster orchestration
  • Scientific software discipline

How an engagement unfolds

A traversable engagement tree.

Expand any branch to see exactly what happens after you sign the brief. No black boxes, no recruiter mystique — just an auditable path from intake to placement.