Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Motional is looking to solve the problem of transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data, by finding rare edge cases, long-tail scenarios, and model errors that matter most.

Requirements

• Deep, hands-on expertise with Ray or Spark (or both) for distributed data processing and large-scale inference workloads
• Expert-level Python proficiency with strong software engineering fundamentals: testing (unit, integration, and end-to-end), CI/CD pipelines, containerization, and code review practices
• Proven experience optimizing and scaling production data pipelines that process terabytes or petabytes of data
• Strong SQL and data manipulation skills; comfort with both structured and semi-structured data
• Experience with cloud infrastructure (AWS preferred: S3, EC2, EKS, EMR, IAM) and infrastructure-as-code patterns
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers
• Hands-on expertise with distributed systems, data processing, and large-scale inference workloads

Responsibilities

• Architect the OmniTag Engine: Design and build the high-throughput, low-latency backend systems that execute billion-scale inference across Ray/Spark, transforming raw sensor data into unified multimodal representations.
• Scale Multimodal Data Pipelines: Own the complete data journey - from ingestion, normalization, and preprocessing of heterogeneous modalities (image, video, LiDAR, audio) through encoding, indexing, and cached embedding storage.
• Evolve the Vector Search and Retrieval Engine: Enhance our in-house billion-scale vector search engine to power RAG-driven few-shot dataset creation.
• Own Data Quality and Observability: Build comprehensive monitoring, logging, and alerting for multimodal data preprocessing pipelines.
• Collaborate on Encoder-Decoder Adaptation: Work closely with ML engineers to support domain-specific fine-tuning workflows, model versioning, and A/B testing of new encoders and decoders.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization.
• Operate OmniTag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.

Other

• BS in Computer Science or a related field, or equivalent professional experience
• 6+ years designing, building, and operating large-scale distributed systems in production environments
• We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
• Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees.
• To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.