{"id":510987,"url":"https://alion.io/job/glance-lv-sde-iv-gpu-engineer","title":"SDE IV - GPU Engineer","company":{"id":59385,"name":"Glance","domain":"glance.com","url":"https://alion.io/company/glance-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":31,"ghost_share":0.355,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Stable Diffusion","optional":false},{"name":"Triton","optional":false},{"name":"Apache TVM","optional":true},{"name":"MLIR","optional":true},{"name":"ROCm","optional":true},{"name":"TPU","optional":true},{"name":"XLA","optional":true}],"status":"live","first_seen_at":"2025-10-09T05:36:44Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-30T02:22:30Z","board_verified":true,"closed_at":null,"days_open":385,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":384},"description":"Glance\nGlance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV - shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.\nInMobi \nInMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses - including InMobi Advertising and flagship consumer platform Glance - InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.\nInMobi Advertising\nInMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach - including flagship consumer platform Glance - InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.\nAbout the Role\nAs a GPU Systems Engineer, you’ll lead design and optimization efforts across our GPU inference stack.\nYou will architect the libraries and runtime systems that enable Stable Diffusion, multimodal transformers, and emerging video generation models to run efficiently at scale.\nYou’ll guide cross-functional teams, influence hardware selection, and set the technical vision for GPU optimization practices across the company.\nKey Responsibilities\nArchitect high-performance inference runtimes, kernel dispatchers, and memory planners for large diffusion and transformer workloads.\nLead investigations into cross-GPU performance bottlenecks, communication overheads, and scheduling inefficiencies.\nDrive multi-GPU parallelism strategies - model, pipeline, and tensor parallelization.\nEstablish company-wide GPU optimization standards, tooling, and SLIs.\nCollaborate with research to design scalable implementations of novel architectures.\nMentor engineers in profiling, tuning, and low-level optimization.\nPartner with hardware vendors and infra teams to maximize cluster utilization.\nRequired Qualifications\n5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.\nProven expertise in CUDA / Triton / C++, with deep understanding of GPU scheduling, occupancy, register usage, and tensor cores.\nExperience building and maintaining distributed inference or training systems.\nAbility to design abstractions balancing flexibility and performance.\nStrong knowledge of NCCL, NVLink, PCIe, and interconnects.\nFamiliar with profiling automation and performance dashboards.\nExcellent technical leadership and mentoring capabilities.\nPreferred Qualifications\nBackground in compiler-aided optimization (TVM, XLA, MLIR, Triton).\nExperience tuning Stable Diffusion or transformer inference pipelines.\nExposure to heterogeneous compute backends (AMD ROCm, TPU, ASICs).\nExperience working with hardware-software co-design initiatives.\nOpen-source or research contributions in GPU optimization\n\"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. 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