Lead Engineer, RL Scaling & Procedural Scenario Generation (AI)

TL;DR

Lead Engineer, RL Scaling & Procedural Scenario Generation (AI): Building scalable RL training pipelines and high-fidelity synthetic scenarios for sidewalk delivery robots with an accent on terrain intelligence and social navigation behaviors. Focus on designing procedural simulation environments, optimizing distributed RL systems, and mapping real-world failures into repeatable synthetic cases.

Location: Remote (Must be based in the USA or Canada)

Salary: $225,000 – $300,000 USD (Bay Area) / $190,000 – $230,000 USD (USA other) / $160,000 – $190,000 CAD (Canada)

Company

hirify.global is reimagining city logistics using personable sidewalk robots to handle commercial deliveries while reducing street congestion.

What you will do

• Develop RL algorithms for terrain intelligence and social navigation behaviors.
• Design and optimize large-scale distributed RL training pipelines using GPU clusters and containerized workflows.
• Implement curriculum learning, domain randomization, and multi-agent RL strategies.
• Build procedural generation pipelines for synthetic environments and diverse long-tail edge cases.
• Collaborate with autonomy and safety teams to translate real-world failures into repeatable simulation cases.
• Optimize simulation performance for determinism, reproducibility, and real-time speed.

Requirements

• Master’s degree in Robotics, AI, Computer Science, Mathematics, or a related field.
• 7+ years of experience shipping transformer-based AI models for AV or robotics solutions at scale.
• 3+ years of technical leadership or architecture experience.
• Strong expertise in Reinforcement Learning (PPO, SAC, A3C, DQN) and distributed frameworks (Ray RLlib, PyTorch Distributed).
• Proficiency in Python and C++ for performance-critical simulation or graphics pipelines.
• Experience with simulation environments such as Isaac Sim, Unity, Unreal, CARLA, or Gazebo.

Nice to have

• Background in Generative AI (diffusion, LLMs) for scenario synthesis or environment creation.
• Experience with traffic simulation (SUMO) or sensor simulation (LiDAR, camera pipelines).
• Knowledge of CUDA, graphics engines, or physics modeling.

Culture & Benefits

• Opportunity to work with tech industry veterans in software, hardware, and design.
• Agile, diverse, and collaborative team environment.
• Direct impact on the future of urban robotic deliveries.
• Competitive compensation package including equity offers.