Quantitative Engineer (Numba / Performance)

Engineering / Remote · Global / Full-time

Base compensation based on experience + equity

About AlgoLift

AlgoLift is the no-code platform that tells traders whether their strategy passes a prop-firm evaluation — before they pay for it. Traders build strategies on a visual canvas, backtest them tick-by-tick on real order-book data, and simulate the full prop lifecycle across dozens of real firm rulesets. We're a small, senior, remote-first team building serious quantitative tooling for a market that's been stuck with spreadsheets and guesswork.

About the role

Our engine compiles a visual strategy graph into flat opcodes and runs them through a single cached Numba stack-VM over years of tick data. You'll own that engine's correctness and speed — the difference between a 10-year backtest taking two minutes or twenty.

What you'll do

Own and extend the Numba-JIT stack-VM at the core of the backtest engine.
Squeeze performance out of hot numerical paths over tick and order-book data.
Implement new indicators, order types, and fill models with exact, reproducible semantics.
Guard numerical correctness with rigorous testing against known-good results.
Work with the data and research teams to keep the engine honest and fast.

What we're looking for

Strong Python with deep NumPy/Numba (or C/C++/Rust) performance experience.
Experience writing correct, fast numerical or systems code.
Comfort reasoning about floating-point, memory layout, and vectorization.
Care for reproducibility and test rigor.

Bonus points

Market-microstructure or trading-systems background.
Experience with Polars / PyArrow or other columnar data.
You've built or optimized a VM, interpreter, or simulation engine.

How hiring works

Intro call

A 30-minute conversation with the hiring manager about your background and what you're looking for.

Working session

Ninety minutes on a real problem from our roadmap, or a walkthrough of something you've already built. You think out loud, we push back, and we both find out what working together actually feels like. No algorithm puzzles.

Meet the team

Conversations with a few of the people you'd work with day to day.

Founder chat & offer

A final conversation, references, and an offer.

AlgoLift is an equal-opportunity employer. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Base compensation is set by experience, and every role includes meaningful equity.

Apply

Tell us about yourself and attach your resume. We read every application for Quantitative Engineer (Numba / Performance).