Software Engineer, Inference

Luma • Redwood City, CA

7d

About The Position

You'll own how Luma's models get served — integrating new architectures into the inference engine, scaling deployments across thousands of machines, and keeping expensive GPU fleets busy while meeting internal SLOs. This is large-scale inference systems work: scheduling, fleet management, deployment pipelines, and reliability across clusters and hardware providers. It fits a strong systems engineer comfortable with model serving and Kubernetes at scale. If you want pure modeling rather than the systems that run models, this is firmly the systems side.

Requirements

• Strong Python and system-architecture skills.
• Experience deploying models with PyTorch, Hugging Face, vLLM, SGLang, TensorRT-LLM, or similar.
• Experience with queues, scheduling, traffic control, and fleet management at scale.
• Experience with Linux, Docker, and Kubernetes, and with orchestration, deployment, and scheduling.
• Familiarity with Redis and S3-compatible storage.

Nice To Haves

• Modern networking stacks including RDMA (RoCE, InfiniBand, NVLink).
• High-performance large-scale ML systems (100+ GPUs).
• CUDA, and FFmpeg or multimedia processing.

Responsibilities

• Ship new model architectures by integrating them into the inference engine.
• Collaborate across research, engineering, and infrastructure to optimize model efficiency and deployments.
• Build internal tooling to measure, profile, and track the lifetime of inference jobs and workflows.
• Automate, test, and maintain inference services for maximum uptime and reliability.
• Manage and optimize inference workloads across clusters and hardware providers, and scale deployments across thousands of machines.
• Build scheduling systems that use expensive GPU resources optimally while meeting SLOs, and maintain CI/CD for model checkpoints and SDKs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed