AI Energy Efficiency Engineer.

AI training and inference now consume significant portions of global electricity. Regulatory pressure, ESG reporting requirements, and pure cost optimization drive demand. Companies spending millions on GPU compute need engineers who can cut costs 30% to 50% through model optimization, making this role directly tied to bottom-line savings.

Key methods include model quantization, knowledge distillation, pruning, efficient attention mechanisms, and hardware-aware neural architecture search. Engineers also optimize inference serving with batching strategies and caching. Understanding power usage effectiveness metrics and carbon-aware scheduling across data center regions is increasingly important.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Green tech companies offer equity with strong growth potential. In San Antonio's market, these extras can add $38,250 or more on top of the base salary.

Pay depends on demonstrated ability to reduce compute costs while maintaining model performance. Engineers who achieve significant efficiency gains through quantization, pruning, or architectural optimization command premiums. Data center experience and knowledge of carbon accounting frameworks add 10% to 15% to base offers. In San Antonio, these factors can push compensation from the 25th percentile of $114,000 to the 75th percentile of $200,000 or beyond.

San Antonio has a major military presence with Joint Base San Antonio and a growing cybersecurity hub. The city is home to USAA headquarters and a cluster of healthcare systems. For AI Energy Efficiency Engineers specifically, the median salary of $153,000 reflects that demand.

Remote work has compressed geographic salary premiums for AI Energy Efficiency Engineers. Some San Antonio employers offer location adjusted pay, while others maintain local rates to attract in office talent. In San Antonio's moderate cost market, remote and local salaries are converging. The $114,000 to $200,000 range reflects both arrangements.

San Antonio has a major military presence with Joint Base San Antonio and a growing cybersecurity hub. The city is home to USAA headquarters and a cluster of healthcare systems. For AI Energy Efficiency Engineers specifically, pay depends on demonstrated ability to reduce compute costs while maintaining model performance, which signals sustained demand. The current compensation range of $114,000 to $200,000 reflects a market that is competing for talent.