AI Trading Systems Engineer.

AI trading systems operate under extreme constraints: microsecond latency requirements, non-stationary data distributions, adversarial environments (other traders adapt), and tight risk management guardrails. The feedback loop is immediate and measured in dollars. Overfitting is an existential risk because deploying a model that worked in backtest but fails live loses real money.

Deep software engineering and ML skills are the primary requirements. Finance domain knowledge can be learned on the job at most firms. However, understanding market microstructure, order book dynamics, and risk management frameworks accelerates effectiveness. Quantitative trading firms are primarily technology organizations that happen to trade financial instruments.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Bonuses at quantitative trading firms often equal or exceed base salary, with total compensation of $300,000 to $600,000+ at top firms. In San Francisco's market, these extras can add $62,500 or more on top of the base salary.

Compensation scales with the PnL impact of systems built. Engineers who can design low-latency AI trading systems with demonstrated alpha generation earn the highest salaries. Experience combining ML signal research with high-performance systems engineering is rare and commands significant premiums. Proficiency in C++ and FPGA programming adds value. In San Francisco, these factors can push compensation from the 25th percentile of $189,000 to the 75th percentile of $324,000 or beyond.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For AI Trading Systems Engineers specifically, the median salary of $250,000 reflects that demand.

Remote work has compressed geographic salary premiums for AI Trading Systems Engineers. Some San Francisco employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like San Francisco, remote roles may pay 10 to 20% less than local positions. The $189,000 to $324,000 range reflects both arrangements.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For AI Trading Systems Engineers specifically, compensation scales with the pnl impact of systems built, which signals sustained demand. The current compensation range of $189,000 to $324,000 reflects a market that is competing for talent.