Distributed Control System Specialist

Job Posting: Distributed Systems Specialist – Synthetic Data Infrastructure Location: Remote (Open to all time zones) Type: Full-time, Contract (1 year with potential for extension) Start Date: ASAP Work Hours: 40 hours/week, Monday–Friday Travel: None required About the Role We are looking for a Distributed Systems Specialist to join our Synthetic Data Infrastructure team. This role is ideal for a generalist engineer with deep expertise in distributed systems who thrives in a fast-paced, collaborative environment. You will be instrumental in designing, developing, and optimizing large-scale data generation pipelines that support machine learning workflows. Key Responsibilities • Design and optimize data processing pipelines using DAGs/Graphs and distributed workers/jobs. • Develop scalable solutions to handle large fan-out loads. • Collaborate with cross-functional teams to identify and prioritize system improvements. • Work closely with data scientists and engineers to integrate and scale solutions. • Continuously identify and implement performance optimizations to reduce resource utilization. • Contribute to scheduling systems and support pipeline submissions. • Participate in on-call rotations and provide support for production systems. Required Qualifications • 5+ years of experience in software development, with a strong focus on distributed systems. • Proven experience with large fan-out loads and distributed job execution. • Proficiency in at least one of the following languages: • Python (preferred) • Rust • C++ • Hack (PHP) • Experience with cloud infrastructure (AWS or GCP). • Strong problem-solving skills and ability to work independently. • Excellent communication and collaboration skills. • Bachelor’s degree in a technical field. Preferred Qualifications • Experience running compute clusters or building data infrastructure. • Background in companies operating at large data scales. • Familiarity with Digital Content Creation (DCC) tools like Blender. • Experience with machine learning frameworks such as TensorFlow or PyTorch. What Makes This Role Exciting This is a unique opportunity to work on cutting-edge infrastructure that powers large-scale compute workloads. You’ll take ownership of critical systems, collaborate with a talented team, and make a tangible impact on performance, scalability, and reliability. If you enjoy solving complex problems and optimizing systems at scale, this role is for you. Interview Process • 2 Rounds Total: • 1 Technical Coding Interview (45 minutes) • 1 Behavioral Interview (30 minutes) Apply Job! Apply to this Job