Software Engineer II, Perception (AI)

Location: Remote, United States; role based in Pittsburgh, Pennsylvania

Salary: $126,000–$201,000 per year for roles based in Pittsburgh, PA

Company

hirify.global develops self-driving technology for safer, more efficient, and more accessible transportation and logistics.

What you will do

• Develop perception systems for tracking dynamic actors, recognizing actions and attributes, and understanding complex traffic environments.
• Research and implement machine learning models for highway and urban driving, long-range multi-sensor tracking, varying weather, and degraded sensor conditions.
• Design object-tracking algorithms and fuse complementary information from multiple sensors.
• Build model-training pipelines, analyze large-scale data, and deploy production-ready solutions on the real-time hirify.global Driver platform.
• Translate on-road and simulated testing insights into robust, well-tested software and investigate failure modes.
• Contribute to scalable architecture and collaborate across functions throughout the software development lifecycle.

Requirements

• Master's degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field, or a bachelor's degree with at least one year of relevant software engineering experience.
• Proficiency in C++ and Python, with experience writing clean, scalable, and efficient production-quality code.
• Basic knowledge of deep learning, computer vision, recursive state estimation, structured prediction, numerical optimization, or related areas.
• Basic knowledge of 3D object-tracking algorithms.
• Experience with PyTorch, TensorFlow, or another deep learning framework.
• Workplace location: United States; Pittsburgh-based roles expect office work at least three days per week according to operational needs.

Nice to have

• Knowledge of linear algebra, optimization, supervised and unsupervised methods, generative and discriminative methods, or Hidden Markov Models.
• Experience with VLMs, foundation models, world models, CUDA, or high-performance GPU programming.
• Experience deploying computer vision and machine learning models in real-time computing environments.
• Experience automating machine learning workflows and optimizing training pipelines.
• Open-source contributions, relevant publications, or industry experience in robotics, computer vision, or self-driving technology.

Culture & Benefits

• Collaborative engineering environment focused on safety, integrity, ambitious goals, and shared success.
• Annual bonus, equity compensation, and benefits are available.
• Commitment to workplace inclusion, reasonable accommodations, and safe working practices.
• In-person collaboration is valued, with office attendance expectations depending on role and operational needs.