Senior Software Engineer – Multimodal Biometrics (U.S. Citizen)

GlobalEdentity; Dallas (TX); On-site; USD 360,000 - 420,000; Full time

Benefits offered by this job

Equity

Job summary

GlobalEdentity is seeking exceptional engineers from Apple (or equivalent) to join a privacy-first, on-device biometric platform with broad government and enterprise applications. You will own the core biometric engine and on-device inference, building secure identity features with zero biometric egress.

Ideal candidates have staff-level on-device ML, computer vision, or secure systems experience, with a focus on privacy, security, and attack resistance. U.S.

Qualifications

• Experience shipping on-device ML models for mobile or embedded systems.
• Deep expertise in computer vision and biometric security.
• Strong privacy and attack-resistance focus in design.
• Familiarity with regulated environments and patents is valued.

Responsibilities

• Own core multimodal biometric engine (3D vascular + face) and PDR.
• Develop real-time on-device inference and score-fusion models.
• Build high-performance camera pipelines and liveness systems.
• Define end-to-end privacy architecture with zero biometric egress.

Skills

On-device ML

Computer vision

Secure systems

Mobile ML deployment

Performance tuning

Privacy by design

Tools

ONNX

Job description

$360,000 – $420,000 + equity

U.S. Security Clearance Required (U.S. Citizenship Mandatory)

We are building a privacy-first, on-device multimodal biometric identity platform that is replacing standalone facial recognition at TSA checkpoints while expanding into government, mobile voting, and banking programs across Asia, Africa, and beyond — with over 32 active sovereign and institutional clients.

Pre-IPO equity with options available, vesting begins on the one-year anniversary.

We’re looking for exceptional engineers from Apple (or equivalent) who have shipped advanced on-device ML, camera systems, or secure identity features and want to work on one of the most technically ambitious biometric platforms in the world.

You will own:

• Core multimodal biometric engine (3D vascular + face) with six-layer Presentation Attack Detection
• Real-time on-device inference, score-fusion models, and ONNX optimization
• High-performance camera pipelines and liveness systems
• End-to-end privacy architecture with zero biometric egress

Ideal background:

• Staff-level experience at Apple or similar (on-device ML, computer vision, or secure systems)
• Deep expertise in mobile ML deployment and performance tuning
• Obsession with privacy, security, and attack resistance
• Experience with patents or highly regulated environments (biometrics, identity, aviation security) is highly valued. Familiarity with the company’s U.S. Patents (10,135,822; 10,547,611; 10,721,228; 10,880,303; 11,277,405; 11,368,455; and 11,374,929 and pending) is a plus.
• U.S. Citizen able to obtain security clearance