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Vllm In Jobs

131 open positions · Updated 1 week ago

Average salary (USD/year): 200k–400k/yr

Showing 20 of 131 positions

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Inferact

Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Intel

Join Intel as an AI Framework Software Engineer to work on cutting-edge AI technologies and frameworks.

Intel PRC, Shanghai Published 1 month ago
Flexible on stack
Inferact

Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.

Inferact San Francisco Published 2 days ago
Flexible on stack
Inferact

Join Inferact as an inference runtime engineer to innovate AI inference engines for large models in a fully remote role.

Inferact Remote Published 1 week ago
Flexible on stack
Inferact

Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.

Inferact San Francisco $200k–$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a TPU performance engineer to optimize vLLM for Google TPUs, enhancing AI inference performance.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a TPU performance engineer to optimize vLLM for Google TPUs, enhancing AI inference performance.

Inferact San Francisco $200k–$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a cloud orchestration engineer to build reliable systems for AI model deployment at scale.

Inferact San Francisco $200k–$400k/yr Published 7 months ago
Flexible on stack
Inferact

Join Inferact as a cloud orchestration engineer to build reliable systems for AI model deployment at scale.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a cloud orchestration engineer to build reliable systems for AI model deployment at scale in a fully remote role.

Inferact Remote Published 2 weeks ago
Flexible on stack
Inferact

Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working directly with hardware vendors.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as an AMD GPU performance engineer to optimize vLLM for the AMD accelerator ecosystem.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a Developer Relations Engineer to shape how developers learn and build with vLLM, the AI inference engine.

Inferact San Francisco $200k–$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a Site Reliability Engineer to enhance the reliability and performance of AI inference systems at scale.

Inferact San Francisco $200k–$400k/yr Published 3 weeks ago
Flexible on stack AI-first team
Inferact

Join Inferact as an AMD GPU performance engineer to optimize vLLM for the AMD accelerator ecosystem.

Inferact San Francisco $200k–$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.

Inferact Remote Published 7 months ago
Flexible on stack
Inferact

Join Inferact as a staff engineer to build distributed systems for AI inference at global scale.

Inferact Singapore S$200k–S$400k/yr Published 2 months ago
Flexible on stack
Inferact

Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working with cutting-edge hardware.

Inferact San Francisco $200k–$400k/yr Published 7 months ago
Flexible on stack
Inferact

Lead the engineering organization at Inferact to develop systems for vLLM, focusing on GPU performance and ML systems optimization.

Inferact San Francisco Published 1 month ago
Inferact

Join Inferact as a cluster administration engineer to manage high-performance GPU compute infrastructure for AI inference.

Inferact San Francisco $200k–$400k/yr Published 3 weeks ago
Flexible on stack
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