SDE IV - GPU Engineer at Glance

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, E-commerce, TechnologyIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

GPUStable DiffusionTransformersMulti-GPUInference RuntimeKernel DispatchersMemory PlanningVertex AIGeminiImagen

Questions & Answers

Common questions about this position

What experience level is required for this GPU Engineer role?

The role requires 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.

What are the key technical skills needed for this position?

Proven expertise in CUDA / Triton / C++ is required, along with deep understanding of GPU scheduling, occupancy, register usage, tensor cores, NCCL, NVLink, PCIe, and interconnects. Experience building distributed inference or training systems and familiarity with profiling automation are also essential.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a strong candidate for this GPU Systems Engineer role?

Candidates with proven expertise in CUDA/Triton/C++, experience in distributed systems, strong knowledge of GPU interconnects, and excellent technical leadership and mentoring capabilities stand out. Preferred background in compiler-aided optimization is a plus.

Glance

Lock screen platform for personalized content

About Glance

Glance provides a unique digital experience by transforming the way users interact with their smartphones. Its main product, the Glance Lock Screen, allows users to access personalized content, products, and services directly from their lock screens, eliminating the need to search for apps. This is made possible through AI-powered personalization that curates content in an engaging format. Additionally, Glance has introduced Glance LIVE, which integrates live internet experiences into the lock screen. Another key offering is Roposo, a platform that combines live entertainment with shopping, allowing users to shop in real-time with creators. What sets Glance apart from competitors is its focus on delivering a seamless and visually appealing experience directly on the lock screen, as well as its commitment to supporting the creator economy through Roposo. The company's goal is to redefine internet consumption and empower creators while enhancing user engagement.

Bengaluru, IndiaHeadquarters

2019Year Founded

$379.4MTotal Funding

SERIES_DCompany Stage

Consumer Software, AI & Machine Learning, EntertainmentIndustries

1,001-5,000Employees

Benefits

Direct & Indirect Compensation

Employee Health Support

Caring for Families

Parental Leave

Core Hours

Generous Time Off Programs

Free and Discounted Products

4 hours/ Month Paid Volunteer Time

Risks

Privacy concerns may arise from AI-driven content personalization on lock screens.

U.S. market expansion faces competition from established players like Apple and Google.

Regulatory challenges in Indonesia could impact Roposo's live commerce integration.

Differentiation

Glance is the first 'screen zero' content delivery platform, redefining lock screen usage.

Roposo integrates live entertainment and commerce, pioneering creator-driven shopping experiences.

Glance's AI personalization delivers content directly to lock screens, enhancing user engagement.

Upsides

Glance's user base reached 300 million globally, showcasing rapid growth since 2019.

Roposo's expansion into Indonesia taps into a growing market for live video platforms.

Glance's partnerships with Verizon and Motorola facilitate U.S. market entry.

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