SpreeAI
Software Engineer (AI Infrastructure / Training / Inference)
Hybrid (San Francisco, California, US)
Sponsorship not specifiedDetected 20 days ago
PythonJavaGoC++Distributed SystemsBackend DevelopmentObject-Oriented ProgrammingData StructuresAlgorithmsCloud PlatformsDockerKubernetesMachine LearningPyTorchSystems EngineeringResearch
About the role
- You will work on: Scalable model serving and inference pipelines.
Responsibilities
- Design and build scalable infrastructure supporting training and inference workflows.
- Develop high-performance APIs and backend services for AI model serving.
- Optimize GPU utilization, latency, and throughput for multimodal workloads.
- Build distributed systems supporting large-scale generative models.
- Partner closely with Applied Science teams to productionize research systems.
- Drive improvements in deployment workflows, automation, and platform usability.
- Experience building production backend or distributed systems.
- We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact.
- About the Role We are hiring Software Engineers focused on AI Infrastructure to build the systems that enable frontier multimodal AI to operate reliably at production scale.
Nice to have
- Experience with Kubernetes, Docker, or container orchestration.
- Familiarity with GPU-based ML workloads or distributed training/inference systems.
- Experience with model serving frameworks (vLLM, Triton, Ray Serve, or similar).
- Experience with observability tools and performance debugging.
- Familiarity with PyTorch or ML workflows.
- Interest in optimizing systems for efficiency, scalability, and developer velocity.
- Scalable model serving and inference pipelines.
- Distributed GPU infrastructure.
Benefits
- Qualifications Degree in Computer Science, Engineering, or comparable combination of education and practical experience.
Company info
- We are hiring Software Engineers focused on AI Infrastructure to build the systems that enable frontier multimodal AI to operate reliably at production scale.
- Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology.
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This listing is sourced directly from SpreeAI's careers page and normalized into a canonical job model.