{"id":"a441675a44","title":"Senior Software Engineer, NCCL","posted_at":"2026-06-14T15:06:31.000Z","apply_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--GPU-Communications-and-Networking_JR1997186","locations":["Santa Clara, CA"],"employment_type":"full_time","workplace_type":null,"seniority_level":"senior","description_language":"en","source_name":"workday","source_url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--GPU-Communications-and-Networking_JR1997186","salary":null,"job_summary":"NVIDIA is a global leader in accelerated computing and artificial intelligence. This Senior Software Engineer role focuses on developing and optimizing the NVIDIA Collective Communications Library (NCCL) for high-performance computing environments.","job_description":{"responsibilities":["Design, develop, and optimize collective communication primitives for GPU-accelerated systems.","Collaborate with cross-functional teams to improve performance and scalability of distributed training workloads.","Analyze and debug complex performance bottlenecks in large-scale GPU clusters.","Contribute to the design and implementation of new features for NCCL."],"minimum_qualifications":["Strong proficiency in C and C++ programming.","Experience with parallel programming models such as CUDA, MPI, or NCCL.","Deep understanding of computer architecture, networking, and distributed systems.","Experience with performance profiling and optimization techniques."],"preferred_qualifications":["Experience with low-level network programming (e.g., InfiniBand, RoCE).","Knowledge of GPU architecture and memory hierarchies.","Experience with large-scale distributed training frameworks like PyTorch or TensorFlow."]},"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":"Santa Clara","job_state":"CA","job_country":"US","location_lat":34.1394628,"location_lng":-118.3540217,"keywords":["distributed training","cross-functional","infrastructure","deep learning","communication","architecture","intelligence","Collaborate","scalability","large-scale","distributed","performance","competitive","engineering","TensorFlow","debugging","inclusive","discovery","hardware","evaluate","leading","analyze","PyTorch","develop","design","Growth","global","visual","teams","debug","Linux","CUDA","GPU","C++","AI","C+"],"company":{"name":"NVIDIA","logo_url":"https://img.logo.dev/nvidia.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"NVIDIA designs graphics processing units and systems-on-a-chip for the gaming, professional visualization, data center, and automotive markets.","website_url":"https://nvidia.com","linkedin_url":"https://www.linkedin.com/company/nvidia","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-NVIDIA-EI_IE7633.11,17.htm","x_url":"https://x.com/nvidia","instagram_url":"https://www.instagram.com/nvidia/","youtube_url":"https://www.youtube.com/channel/UCHuiy8bXnmK5nisYHUd1J5g","github_url":"https://github.com/NVIDIA","huggingface_url":"https://huggingface.co/nvidia","tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/nvidia","facebook_url":"https://www.facebook.com/NVIDIA/","employee_count_range":"10000+","employee_count":null,"founded_year":1993,"headquarters":{"address":"2788 San Tomas Expressway, Santa Clara, CA 95051, United States","city":"Santa Clara, CA","country":"US","lat":37.3541132,"lng":-121.955174},"industry":"hardware","company_type":"enterprise","total_funding_usd":null,"locations":["Armenia","Bengaluru, India","Brazil, Sao Paulo","California","California, USA","Canada, Toronto","China","China, Shenzhen","Denmark, Roskilde","Finland, Helsinki","France, Courbevoie","Germany, Munich","Germany, Wuerselen","Greece, Athens","Gurugram, India","Hong Kong, Hong Kong","Hungary, Budapest","Hyderabad, India","India, Bengaluru","India, Hyderabad","India, Pune","Israel, Beer Sheva","Israel, Raanana","Israel, Tel Aviv","Israel, Tel Hai","Israel, Yokneam","Japan, Tokyo","Korea, Seoul","Massachusetts","Massachusetts, USA","Mumbai, India","New York, NY","North Carolina","North Carolina, USA","Oregon","Oregon, USA","Palestine, Rawabi","Poland, Warsaw","Pune, India","Santa Clara, CA","Singapore","Switzerland, Zurich","Taiwan, Hsinchu","Taiwan, Taipei","Texas","Texas, USA","UAE, Dubai","UK, Belfast","UK, Cambridge","US, CA","US, NC","US, OR","US, TX","US, WA","Vietnam, Hanoi","Vietnam, Ho Chi Minh City","Virginia, USA","Washington","Washington, DC","Washington, USA"]}}