
Member of Technical Staff – Inference Platform
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Brazil.
• Take ownership of execution environments for models within the Platform team.
• Advance Sophos, the online and batch inference runtime developed on Kubernetes.
• Execute large batch inference on temporary jobs utilizing multi-dimensional admission control via Kueue.
• Develop and enhance the Sophos controller along with Kubernetes custom resources.
• Improve model inference engines and feature processing through vectorized, columnar operations.
• Efficiently serve graphs and data from Lance-based storage.
• Manage training, post-training, and fine-tuning jobs within Avra's cloud and customer dataplanes.
• Propel autoscaling, GPU serving, performance, and cost optimization using telemetry for each model.
• Address deterministic job sizing, checkpointing and recovery, customer encryption and isolation, input-file resilience, and automatic profiling.
• Attain 99.9% serving availability, minimal online-inference latency, high batch throughput, optimized costs, GPU utilization, and dependable job completion.
• Proven experience in running model serving or large-scale batch computing on Kubernetes.
• Experienced in building Kubernetes controllers or operators.
• Proficient in profiling and enhancing data-intensive Python pipelines.
• Strong understanding of cost and compute efficiency.
• Experience with production-quality code and participating in code reviews.
• Readiness to operate the systems you develop.
• Nice-to-have: Experience with Ray, Ray Serve, or KubeRay in a production setting.
• Nice-to-have: Familiarity with Kueue or other batch scheduling and admission-control systems.
• Nice-to-have: Knowledge in GPU serving and performance enhancement.
• Nice-to-have: Experience with Arrow, Parquet, Lance, or other columnar formats.
• Nice-to-have: Experience shipping software to customer-hosted Kubernetes environments.
• Nice-to-have: Familiarity with GCP/AWS, GKE/EKS, and experience in financial services or regulated settings.
• Comprehensive health and wellness programs.
• Opportunities for professional development and career advancement.
• Flexible work environment and remote work options.
• Competitive salary and performance-based bonuses.
• Collaborative and innovative company culture.
Rich Products Australia
Coursedog
DaCodes.
DaCodes.
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