Liquid AI

Liquid AI

Member of Technical Staff - GPU Performance Engineer

San Francisco · Staff+

Sponsorship not specifiedDetected 444 days ago
C++CPyTorchResearch

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odds of building a lasting career here

36Risky
Cap-exempt (no lottery)0
Sponsors this role74
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

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About the role

  • We're looking for someone who finds joy in memory hierarchies, tensor cores, and profiler output.

Responsibilities

  • Profile and optimize training and inference workflows to eliminate bottlenecks
  • Build correctness tests and numerics checks
  • Build/maintain performance benchmarks and guardrails to prevent regressions
  • Collaborate closely with researchers to turn promising ideas into shipped speedups
  • You'll design and ship custom CUDA kernels, profile at the hardware level, and integrate research ideas into production code that delivers measurable speedups in real pipelines (training, post-training, and inference).

Requirements

  • Bridges theory and practice: You can translate ideas from papers into implementations that are robust, testable, and performant.
  • Strong understanding of GPU architecture and performance: memory hierarchy, warps, shared memory/register pressure, bandwidth vs compute limits
  • Proficiency with low-level profiling (Nsight Systems/Compute) and performance methodology
  • You can translate ideas from papers into implementations that are robust, testable, and performant.

Nice to have

  • CUTLASS experience and tensor core utilization strategies
  • Triton kernel experience and/or PyTorch custom op integration
  • Measurable improvement on at least one critical end-to-end pipeline (throughput and/or latency), validated by repeatable benchmarks
  • At least one research-driven technique shipped as a production kernel and maintained over time
  • Performance regressions are detectable early via benchmarks/guardrails, not discovered late
  • Our team is small, fast-moving, and high-ownership.

Skills

  • Our models and workflows require performance work that generic frameworks don't solve.

Compensation

  • Competitive base salary with equity in a unicorn-stage company
  • We pay 100% of medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay

Benefits

  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

Company info

  • We are scaling rapidly and need exceptional people to help us get there.

This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.