On-Device AI Engineer.

On-device engineers face strict constraints: limited memory, battery life, thermal throttling, and heterogeneous hardware. They must master quantization, pruning, and architecture design for specific NPU instructions. Cloud engineers optimize for throughput and cost, while on-device engineers optimize for latency, power, and model size simultaneously.

Smartphones remain the largest market, with Apple, Samsung, and Qualcomm hiring aggressively. Smart home devices, automotive ADAS systems, and AR glasses are growing rapidly. The shift toward on-device language models for privacy-sensitive applications is creating new demand across consumer electronics and IoT companies.

Entry level On-Device AI Engineer positions in San Antonio typically start near $117,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $154,000. Junior on-device AI engineers start around $132,000 porting models to mobile frameworks.

In San Antonio, large enterprises typically pay On-Device AI Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Device manufacturers offer RSU grants vesting over four years with annual refreshers. The $117,000 to $201,000 range reflects this entire spectrum.

In 2026, the average On-Device AI Engineer salary in San Antonio, TX is $154,000. The 25th percentile sits at $117,000 and the 75th percentile reaches $201,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Compare the offer against the San Antonio range: $117,000 (25th percentile) to $201,000 (75th percentile). An offer near $154,000 is market rate. Below $117,000 warrants a conversation unless equity or unusual benefits close the gap. Leverage the cybersecurity corridor. San Antonio's NSA facility and military cyber operations drive demand for cleared security professionals at premium rates.

Junior on-device AI engineers start around $132,000 porting models to mobile frameworks. Mid-level engineers designing custom on-device inference pipelines earn $173,000 to $198,000. Senior engineers leading edge AI strategy for product lines reach $228,000 to $280,000. In San Antonio, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.