Jobs

Parallel is seeking a Member of Technical Staff, Data Engineering to build the foundational data infrastructure powering model training, product development, and analytics. This role involves designing scalable data pipelines, building reliable storage and serving layers, and establishing robust quality and observability systems. The ideal candidate possesses deep intuition in distributed data processing, data modeling, and system reliability, with a keen eye for architectural trade-offs and a commitment to data accuracy. Join a world-class team dedicated to building the web for AIs, working in-person in San Francisco or Palo Alto.