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Glance

SDE IV - GPU Engineer

Glance · Bangalore

Posted about 3 months ago

or apply directly on Glance's site. We never take the application ourselves.

Is this posting real?

This role has been open
79 days
Glance's roles stay open a median of 80 days
Reposted
No
Salary listed
No
12% of Glance's roles list one
Ghost-job risk at Glance
high
48 stale, 1 reposted of 49 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Glance's own greenhouse board since 2026-08-03. Full hiring picture for Glance.

About this role

As a GPU Systems Engineer at Glance, you will lead the design and optimization of GPU inference systems, focusing on high-performance runtimes for large-scale models like Stable Diffusion and multimodal transformers. Your role involves guiding cross-functional teams, influencing hardware choices, and establishing GPU optimization standards while mentoring other engineers in performance tuning and optimization techniques.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Glance as an employer.

What you need

  • 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure
  • Proven expertise in CUDA / Triton / C++
  • 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

Nice to have

  • 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

Worth weighing

  • No salary listed
  • Focus on GPU optimization may limit exposure to other areas of software engineering
  • Role involves significant technical leadership and mentoring, which may appeal to candidates looking to advance in those areas

Summarised from Glance's posting. Read the full original.

Listed by Glance on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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