{"id":"7ed318ac-a6c6-4129-9409-22b622510720","title":"Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium","company":{"id":"608e3b66-691f-4b1a-ba87-7ece126a9959","name":"Capgemini","website":"https://careers.capgemini.com","url":"https://yesjob.brogu.ca/companies/608e3b66-691f-4b1a-ba87-7ece126a9959"},"url":"https://yesjob.brogu.ca/jobs/7ed318ac-a6c6-4129-9409-22b622510720","apply_url":"https://careers.capgemini.com/job/Toronto-Senior-Machine-Learning-Systems-Engineer%2C-LLM-Inference-Performance-on-AWS-Trainium-ON/1452737433/","status":"open","location":"Toronto, ON, Canada","locations":[{"city":"Toronto","region":"ON","country":"CA"}],"workplace":"remote","remote_eligible_countries":["CA"],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":{"max":138940,"min":72056},"languages_required":[],"seniority":"senior","first_seen_at":"2026-11-06T09:01:29.133Z","last_seen_at":"2026-11-11T04:06:03.603Z","salary_text":null,"summary":"- Senior remote role open to candidates anywhere in Canada; the header also lists Toronto, ON.\n- Posted base range $72,056-$138,940 per year (currency inferred as CAD from the Canadian posting).\n- Requires 5+ years of ML or systems engineering, including 2+ years of production inference or serving, plus Python and PyTorch.\n- Experience with an LLM serving framework (vLLM, TensorRT-LLM, SGLang or Triton) is required; Trainium and Neuron experience is preferred. Work authorization is not stated.","sources":["https://careers.capgemini.com/job/Toronto-Senior-Machine-Learning-Systems-Engineer%2C-LLM-Inference-Performance-on-AWS-Trainium-ON/1452737433/"]}