Staff Software Engineer, ML Platform (AI)

TL;DR

Staff Software Engineer, ML Platform (AI): Building and optimizing a multimodal data mining and semantic search infrastructure for autonomous vehicles with an accent on LLMs, vector databases, and high-throughput data processing. Focus on developing end-to-end data understanding platforms, architecting ETL pipelines, and improving GPU/CPU utilization for ML workloads.

Location: Pittsburgh, PA or Remote. Must be a U.S. person or meet U.S. national security and export control requirements.

Company

hirify.global develops AI and advanced autonomous systems designed to enhance the safety, reliability, and efficiency of the trucking transportation industry.

What you will do

• Build state-of-the-art multimodal data mining and semantic search solutions to power AV product development.
• Develop data understanding platform infrastructure for real-time querying, vector databases, and batch/stream processing using Ray and Spark.
• Deliver end-to-end data mining solutions spanning onboard C++ and offboard ML/Data infrastructure.
• Architect and tune ETL pipelines to maximize GPU, CPU, and RAM utilization.
• Design and build inference services using LLMs, open-world models, and vector databases.
• Drive technical discussions across multiple organizations and proactively improve system performance.

Requirements

• 6+ years of experience with multimodal data indexing and inference pipelines.
• Proven track record of building scalable, reliable infrastructure in fast-paced environments.
• Experience building semantic search services, embedding generation for video/images, and vector DBs.
• Expertise in large-scale ML pipelines (Airflow/Flyte) and model optimization.
• Proficiency in writing readable and high-performance Python and C++ code.
• Must verify residence, U.S. person status, and/or citizenship status pursuant to U.S. national security laws.

Nice to have

• Experience in autonomous vehicles (AV), perception, or decision-making domains.
• Experience with model training or specific modeling experience.