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AI jobs in San Jose

5 active AI-scored roles hiring in San Jose.

Global salary benchmarksbased on 5237 listings with salary data

P10
$113,400
P25
$150,000
Median
$193,000
P75
$233,500
P90
$293,660

Open roles

SambaNova · 🔄 synced 1h ago
Principal Compiler Engineer - ML Systems
📍 San Jose, US 💰 $210K–$280K · Principal
Principal Compiler Engineer at SambaNova building compiler infrastructure and optimization algorithms for ML model performance on the SambaNova platform. Requires deep compiler fundamentals knowledge and experience with deep learning frameworks like PyTorch and TensorFlow.
PyTorchTensorFlowMLIRcompiler infrastructure
71
AI-fluent
SambaNova · 🔄 synced 1h ago
Senior Cloud Platform Engineer
📍 San Jose, US · Senior
Senior Cloud Platform Engineer at SambaNova building reliability and scalability for AI inference services. Focus on cloud infrastructure, monitoring, incident response, and automation across AWS, GCP, and Azure.
PythonGoJavaDockerKubernetesTerraform
51
AI-fluent
SambaNova · 🔄 synced 1h ago
Software Architect
📍 San Jose, US 💰 $245K–$325K · Principal
Software Architect at SambaNova designing the SambaStack inference serving platform for enterprise AI workloads. Owns end-to-end technical architecture, drives cross-team strategy, and mentors engineers on distributed systems and Kubernetes at scale.
PythonGoRustKubernetesHelm ChartsDistributed Systems
65
AI-fluent
SambaNova · 🔄 synced 1h ago
Director, Software Engineering
📍 San Jose, US 💰 $245K–$325K 🛠 AI tools welcome at work · Director
Director of Software Engineering at SambaNova leading the SambaStack inference serving platform team. Combines people leadership, hands-on technical contribution, and driving AI infrastructure initiatives for enterprise LLM workloads.
PythonGoRustKubernetesHelm Charts
76
AI-core
SambaNova · 🔄 synced 1h ago
Software Engineer
📍 San Jose, US 🛠 AI tools welcome at work · Mid
Software Engineer at SambaNova building the SambaStack AI inference serving platform. Focus on performance, scalability, and reliability of enterprise-grade model deployment infrastructure using Python, Go, and Rust.
PythonGoRustKubernetes
59
AI-fluent