{"id":"604o9o9u8a","title":"Member of Technical Staff - GPU Performance Engineer","posted_at":"2025-07-29T20:46:39.000Z","apply_url":"https://jobs.ashbyhq.com/liquid-ai/dfc3bae5-003f-4438-b51a-4cdfdb4199ba/application","locations":["San Francisco, CA"],"employment_type":"full_time","workplace_type":"hybrid","seniority_level":null,"description_language":"en","source_name":"ashby","source_url":"https://jobs.ashbyhq.com/liquid-ai/dfc3bae5-003f-4438-b51a-4cdfdb4199ba","salary":null,"job_summary":null,"job_description":null,"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":null,"job_state":null,"job_country":null,"location_lat":37.7899377,"location_lng":-122.39696199999999,"keywords":["consumer electronics","architectures","architecture","Collaborate","performance","competitive","fast-moving","end-to-end","production","pipelines","workflows","hardware","pipeline","consumer","research","PyTorch","latency","privacy","design","vision","launch","data","CUDA","GPU","C++","AI","C+"],"company":{"name":"Liquid AI","logo_url":"https://img.logo.dev/liquid.ai?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Liquid AI is an MIT CSAIL spin-out that develops general-purpose foundation models and optimizes them for efficient inference across hardware ranging from data center accelerators to resource-constrained edge devices.","website_url":null,"linkedin_url":"https://www.linkedin.com/company/liquid-ai-inc","glassdoor_url":null,"x_url":"https://x.com/liquidai","instagram_url":null,"youtube_url":"https://www.youtube.com/@liquid-ai-inc","github_url":"https://github.com/Liquid4All","huggingface_url":"https://huggingface.co/LiquidAI","tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/liquid-ai","facebook_url":null,"employee_count_range":"51-200","employee_count":77,"founded_year":2023,"headquarters":{"address":"314 Main St, Cambridge, MA 02142, United States","city":"Cambridge, MA","country":"US","lat":42.3656347,"lng":-71.1040018},"industry":"other","company_type":"startup","total_funding_usd":287600000,"locations":["Boston","San Francisco, CA","Tokyo"]}}