{"id":"b0dd2dae-d712-4a58-8feb-02f8a0d686d5","title":"Member of Technical Staff, Inference","company":{"id":"aa6f6ceb-523d-481d-9b40-47fac27db672","name":"Inferact","website":"https://inferact.ai","url":"https://yesjob.brogu.ca/companies/aa6f6ceb-523d-481d-9b40-47fac27db672"},"url":"https://yesjob.brogu.ca/jobs/b0dd2dae-d712-4a58-8feb-02f8a0d686d5","apply_url":"https://jobs.ashbyhq.com/inferact/ef7198da-ad0a-4c02-963f-6250a15e3534/application","status":"open","location":"Remote","locations":[{"city":null,"region":null,"country":"US"}],"workplace":"remote","remote_eligible_countries":["anywhere"],"employment_types":["full_time"],"work_auth_required":"sponsorship_available","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":null,"first_seen_at":"2026-10-29T14:38:22.870Z","last_seen_at":"2026-11-07T04:28:43.380Z","salary_text":null,"summary":"- Remote (fully remote, worldwide) Member of Technical Staff role building and optimizing the vLLM inference engine for LLM and diffusion model serving.\n- Requires Python and PyTorch internals experience, plus hands-on work with LLM inference systems such as vLLM, TensorRT-LLM, SGLang or TGI.\n- Bachelor's degree or equivalent experience is required; regular overlap with Pacific Time is expected for critical syncs.\n- Visa sponsorship is offered case-by-case, so non-resident applicants may be considered.","sources":["https://jobs.ashbyhq.com/inferact/ef7198da-ad0a-4c02-963f-6250a15e3534"]}