Technical Lead (AI Evaluation Infrastructure)

Location: Mountain View, California, United States

Salary: $193,930,200–$291,150 per year, plus annual performance bonus, equity, and benefits.

Company

hirify.global is a physical AI company developing Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, and personal vehicles.

What you will do

• Build and own a unified metrics, evaluation, and validation platform for on-road and simulation logs.
• Develop evaluation pipelines, introspection tooling, and analysis products that produce high-fidelity autonomy and safety signals.
• Set the technical bar for heuristic and ML-based metric quality, scale, reliability, CI/CD, and service-level performance.
• Shorten time-to-signal for autonomy evaluation and time-to-confidence for driverless safety validation.
• Mentor and grow the Evaluation Infrastructure team while applying AI-native engineering practices.
• Partner with Product, Autonomy, Systems & Safety, and Simulation teams on evaluation strategy and execution.

Requirements

• Bachelor’s or master’s degree and at least 4 years of relevant work experience.
• Strong experience with distributed systems, large-scale data and ML evaluation pipelines, metrics frameworks, and analytics platforms.
• Experience setting technical vision, roadmaps, and priorities for teams working across autonomy, safety, and data infrastructure.
• Strong proficiency in Python, C++, or similar programming languages, with the ability to deep-dive into implementation.
• Experience using modern AI coding assistants and agentic tools, such as Claude Code or Cursor, and applying LLMs and ML systems to evaluation problems.

Nice to have

• Knowledge of data engineering tools and best practices.
• Experience with batch and streaming data processing, data warehousing, and analytics solutions.
• Experience with data workflow orchestration platforms.
• Experience building evaluation, validation, or analytics platforms in autonomy, robotics, or safety-critical systems.

Culture & Benefits

• Annual performance bonus, equity, and a competitive benefits package.
• Commitment to inclusion, psychological safety, and a diverse workplace.
• Work focused on improving the safety and reliability of autonomous driving deployment.