Blockhouse

Quant Developer, Trading Systems (Rust and C++)

Blockhouse New York, New York, United States · $110K–$160K/yr

Financial Services · 11-50 employees

Yesterday
rust Mid (2-5 yrs) Full-time United States
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About the role

Translate research specifications into production trading signals and build and optimize low-latency components in C++ and Rust. Own exchange connectivity and production reliability, help lead GCP and Kubernetes infrastructure, and guide the engineering team through specifications, code reviews, and onboarding.

What they look for

C++ Rust Low-Latency Systems Concurrency Asynchronous Programming Networking Linux Performance Optimization Python Go Exchange Connectivity Market Making Quantitative Engineering GCP Kubernetes Code Review Team Leadership

Requirements

Candidates should have 2 to 5 years of production experience with C++ and Rust, including deep expertise in one and working fluency in the other, plus a record of delivering performance-sensitive systems. They should understand concurrency, asynchronous programming, networking, and Linux performance trade-offs, be comfortable with Python and Go, and be ready to take ownership and guide others.

Benefits

Equity Grant Performance Bonus Full Benefits

Full description

Quant Dev, Trading Systems (Rust and C++)

Blockhouse, full time, NYC in person or hybrid preferred, remote within US time zones considered

Compensation is $110,000 to $160,000 base depending on experience, plus an equity grant, a performance bonus tied to new product revenue, and full benefits

 

About Blockhouse

Blockhouse gives institutional asset managers access to the kind of trading infrastructure that usually takes years and millions of dollars to build. Founded in 2022, we run a noncustodial platform where clients keep custody of their assets while they trade, hedge and compound portfolios across crypto and tokenized markets, from FX and equities to treasuries and compute futures. Alongside the platform we run live delta neutral funding rate and market making strategies with client capital across major venues, and we keep expanding into new frontier markets such as compute hedging.

 

The role

This is a quant engineering role at its core, sitting between research and production and owning the path from a researcher's spec to a live signal trading real capital. You'll work directly with the founders and our quant researchers, and although the role is open to engineers with 2 to 5 years of experience, we expect you to step up quickly, setting objectives, writing specs, breaking work into tickets and guiding the rest of the engineering team with your judgment.

 

What you'll do

  • Turn research specs into production signals, including basis and FX pairs, nowcast fits, index futures pricing and momentum
  • Build and optimize low latency components in C++ and Rust, from market data publishers and book feeds on Aeron to the market making engine itself
  • Own exchange connectivity across CEXs and tradfi venues (Alpaca, IBKR) covering order books, rate limit pacing, funding and borrow data, and order reconciliation
  • Debug and harden production systems, including memory profiling, reconnect and heartbeat logic, and crash investigation
  • Co lead our GCP and Kubernetes infrastructure with an existing senior engineer
  • Lead the engineering team day to day through specs, code review across our repos and onboarding of junior engineers

 

What we're looking for

  • 2 to 5 years of production experience in C++ and Rust, with real depth in at least one and working fluency in the other
  • A track record of shipping low latency or performance sensitive systems
  • Strong grasp of concurrency, async programming, networking and performance trade offs on Linux
  • Comfort with Python and Go across tooling, gateways and research integration
  • The drive to lead, meaning you're ready to own objectives, direct others and make calls without waiting to be told

 

Nice to have

  • Experience integrating crypto or equities exchange APIs
  • Background in market making, HFT or execution systems
  • Familiarity with margin, funding and portfolio accounting across venues
  • Experience with Terraform, Kubernetes, Redpanda or ClickHouse

 

Why Blockhouse

  • Direct ownership of systems that drive firm PnL
  • Close work with the founders and quant team
  • Meaningful equity and performance upside
  • A live trading environment with a high engineering bar

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