Glance

Glance 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.

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. 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.

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. 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.

About the Role

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.

Key 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

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

Since 2019, Glance has built the extraordinary. Beyond just technology. It has built a way of working.

Across 5 offices in around 3 countries, through every pivot and breakthrough, one thing has remained constant: we are builders, dreamers, doers. We are fluid enough to move fast, grounded enough to own outcomes, and human enough to care deeply about the work and about one another.

Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the responsibility to build the best.

This is a place where ambition and belonging occupy the same space. Where the bar is high and the support is real. Where freedom comes with trust, and trust comes with accountability. Where you are valued not only for what you do, but for the perspective, judgment and humanity you bring to the work. Where you will be challenged by the work and supported by the communities, passions and experiences that shape who you are beyond your role.

If this sounds like the place you have been looking for, join us.

Glance

GPU Systems Engineer

About the Job

Requirements

Responsibilities

Desired Qualifications

About the Company

Glance

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