# Member of Technical Staff - GPU Performance at Gimletlabs

- Company: Gimletlabs
- What the company does: Gimlet Labs is an applied research lab focused on building high performance AI systems. Backed by Menlo and Sapphire.
- Company website: https://gimletlabs.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: On-site
- Pay: $150K to $390K base salary per year (USD)
- Posted: 2026-10-26
- Apply by: 2026-12-10
- Apply: https://jobs.ashbyhq.com/gimlet/0b69e361-fbb1-4627-8028-c6ce75b3ad91?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/gimletlabs-member-of-technical-staff-gpu-performance/

## About the role

As a Member of Technical Staff, you will characterize and improve the performance of production AI inference across Gimlet's heterogeneous accelerator fleet. You will work across kernel execution, compiler output, runtime behavior, memory movement, synchronization, scheduling, and multi-device execution. Rather than treating performance as a collection of isolated microbenchmarks, you will connect hardware-level evidence to end-to-end latency, throughput, utilization, and cost. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Strong software engineering fundamentals and experience working on performance-critical systems
- Experience profiling GPU or accelerator workloads and turning measurements into production improvements
- A strong understanding of GPU execution, memory hierarchies, asynchronous execution, synchronization, and performance tradeoffs
- The ability to design controlled experiments, distinguish symptoms from root causes, and communicate performance findings precisely
- Bachelor's degree in a relevant field, or an equivalent combination of education, training, and professional experience

Tags: Research & Development

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/gimletlabs-member-of-technical-staff-gpu-performance/