SDE IV - GPU Engineer

Role overview

SDE IV - GPU Engineer at Glance

As a GPU Systems Engineer , you’ll lead design and optimization efforts across our GPU inference stack.

You will architect the libraries and runtime systems that enable Stable Diffusion, multimodal transformers , and emerging video generation models to run efficiently at scale.

You’ll guide cross-functional teams, influence hardware selection, and set the technical vision for GPU optimization practices across the company.

Responsibilities

• Architect high-performance inference runtimes , kernel dispatchers, and memory planners for large diffusion and transformer workloads.
• Lead investigations into cross-GPU performance bottlenecks , communication overheads, and scheduling inefficiencies.
• Drive multi-GPU parallelism strategies — model, pipeline, and tensor parallelization.
• Establish company-wide GPU optimization standards, tooling, and SLIs .
• Collaborate with research to design scalable implementations of novel architectures.
• Mentor engineers in profiling, tuning, and low-level optimization.
• Partner with hardware vendors and infra teams to maximize cluster utilization.

Required qualifications

• 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.
• Proven expertise in CUDA / Triton / C++ , with deep understanding of GPU scheduling, occupancy, register usage, and tensor cores.
• Experience building and maintaining distributed inference or training systems.
• Ability to design abstractions balancing flexibility and performance.
• Strong knowledge of NCCL , NVLink, PCIe, and interconnects.
• Familiar with profiling automation and performance dashboards.
• Excellent technical leadership and mentoring capabilities.

Preferred qualifications and skills

• Background in compiler-aided optimization (TVM, XLA, MLIR, Triton).
• Experience tuning Stable Diffusion or transformer inference pipelines.
• Exposure to heterogeneous compute backends (AMD ROCm, TPU, ASICs).
• Experience working with hardware–software co-design initiatives.
• Open-source or research contributions in GPU optimization
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Employment details

• Location: Bangalore [Karnataka] [India]

About the employer

• Glance
• 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.
• To learn more, visit glance.com.
• Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte.
• Glance is owned and operated by Glance InMobi Pte.

Additional role details

• Glance is an intelligent shopping agent, redefining the commerce experience.
• 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.
• InMobi
• InMobi 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.
• Ltd., a non-consolidated subsidiary of InMobi Pte.
• Ltd.
• InMobi Advertising
• InMobi 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.
• To learn more, visit advertising.inmobi.com.