{"id":194725,"url":"https://alion.io/job/nvidia-manager-gpu-accelerated-data-analytics","title":"Manager, GPU Accelerated Data Analytics","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":775,"ghost_share":0.025,"stale_share":0.735,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-22T04:55:21Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing the boundaries of accelerated computing! We empower developers with groundbreaking solutions while driving innovation that fuels NVIDIA's leadership in this transformative field. NVIDIA's accelerated computing platform is revolutionizing industries. To capitalize on this explosive growth, we're growing our team and seeking a visionary leader to drive our continued success.\nWhat you’ll be doing:\nThis role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs! NVIDIA platform is known for its AI dominance in deep learning training and inference. Nonetheless, modern data centers have hundreds of millions of CPUs that are used today to run mission critical workloads such as database, data preprocessing, compression, video transcoding, web servers, and many others. Help modernize today’s data centers by researching and developing implementations to help save cost and power using the advanced NVIDIA platform. Core responsibilities include:\nDriving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments. These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware.\n\nTechnical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA’s hardware and software platforms.\n\nGrowing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your team to strengthen external developer engagements. Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth.\n\nCollaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation. Advocate for next-generation hardware and software products that address the evolving needs of the developer community.\n\nWhat we need to see:\nAn MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience).\n\n7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role.\n\nOutstanding leadership, strong cross-functional collaboration, and impactful project execution.\n\nHands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA.\n\nProgramming fluency in C/C++ with a deep understanding of algorithms and software development.\n\nIn-depth expertise with CPU and GPU architecture fundamentals.\n\nStrong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications.\n\nA track record of building high-performing teams by attracting and hiring top engineering talent.\n\nExcellent communication and presentation skills.\n\nDemonstrated ability to successfully plan, lead, and execute high-impact initiatives.\n\nWays to stand out from the crowd:\nA PhD in a relevant field is highly valued.\n\nExperience leading engineering teams to design performance-first prototypes.\n\nStrong background in distributed high-performance data analytics including SQL or vector databases.\n\nExpertise in modern data center network and storage technologies.\n\nNVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. Come join our team of brilliant minds leading the way in accelerated computing. Are you a creative and independent computer scientist with a passion for parallel computing? If so, we invite you to apply.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until August 9, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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