Software/ML Engineer

Vor 9 Stunden

Deutschland AfterQuery Remote Teilzeit

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We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture? You'll help design evaluation scenarios, write reference solutions, and grade model outputs on real systems-engineering problems
- the same class of problems you likely work on day-to-day. This is a research-and-evaluation role, not a traditional engineering job
- you won't be shipping production code for us, you'll be defining what "correct" and "excellent" look like for AI models tackling the problems you already know deeply. Responsibilities
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What You'll Do
Design realistic technical scenarios and problem sets in LLM inference optimization, GPU kernel design, and systems performance engineering Required Qualifications
• Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Strong, hands-on background in one or more of: GPU inference optimization, custom CUDA kernel development, model-serving systems (e.g., vLLM, TensorRT-LLM, SGLang), quantization, or optimizer design
• Experience at a recognized technology or AI company, in a role with real systems-engineering ownership
• Strong written communication
- you'll be authoring technical explanations and feedback, not just code Preferred Qualifications
• Direct experience with SGLang, Mamba/Mamba2 architectures, or IBM Granite-family models
• Open-source contributions to inference/serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.)
• Experience with distributed inference (tensor/expert parallelism, continuous batching, KV-cache optimization) Why apply
• Remote, contract, part-time
• Flexible
- work on your own schedule

Amerika

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Asien / Ozeanien

Afrika

Software/ML Engineer

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