Software Engineer, Databases
Architects database platforms for 100x+ scale with secure access control and governance tooling.
- Remote
- Full Time
- Min. 4 YOE
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Architects database platforms for 100x+ scale with secure access control and governance tooling.
Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models.
Audit data deliveries, create quality guidelines, and provide structured feedback across multilingual datasets.
Ship developer-first growth surfaces by combining user insights and data to drive activation and retention.
Ship high-performance interfaces to serve models to customers across Cartesia’s surfaces.
Owns data strategy for multilingual datasets, building scalable data pipelines and evaluation for model training.
Own end-to-end voice sourcing and casting to fulfill internal voice requests, build a scalable, richly described voice library, and support product launches with fast ad-hoc requests.
Leads research in neural network architecture design to advance state-of-the-art models and deployable systems.
Own the appearance of our web-based surfaces, with high agency to proactively fix design and performance issues.
AI-native software engineer building tooling to accelerate developer workflows and enable rapid, automated internal tooling.
Design evaluation frameworks and pipelines to measure progressive, real-world intelligent behavior.
Own day-to-day transcription operations, delivering ground truth transcripts for 30+ locales and coordinate tooling with engineering.
Own deployments end-to-end for strategic customer engagements in real-time multimodal voice AI.
Enterprise-grade systems architect and builder delivering durable platform capabilities for large-scale enterprise deployments.
Lead design across APIs and developer tools, driving getting-started experience and design systems.
Own platform infrastructure components end-to-end to scale Cartesia’s voice AI products and accelerate feature delivery.
Leads data infrastructure strategy and builds scalable pipelines for multimodal data to empower foundational models.
Own HR operations to scale policies, org design, and culture for a fast-growing AI startup.
Design and build low latency, scalable inference stack for cutting-edge foundation models using Transformers and SSMs.
Own and run product launches, ensuring customers and the broader market clearly understand new features and updates.
Research novel architectures to improve model quality, efficiency, and adaptability across cloud to on-device deployments, addressing trade-offs in latency and energy.
Leads large-scale audio understanding research and production deployments focusing on multi-speaker ASR, diarization, and robust audio perception.
Own research initiatives to improve the alignment and capabilities of multimodal models.
Build low latency, scalable model inference/serving stack and data processing for multimodal AI systems.