Nsight Systems Jobs
5 Nsight Systems jobs currently listed
Browse 5 open positions that require Nsight Systems experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
JetBrains Posted 1 month ago
Research Engineer (LLM Training and Performance)
Amsterdam, Netherlands +10 - English
Python C++ PyTorch PyTorch Distributed Megatron-LM +12
Perplexity Posted 1 month ago
Member of Technical Staff (AI Inference Engineer)
London, United Kingdom - English
Rust Python CUDA CuTe DSL Triton +4
Janestreet Posted 1 month ago
Machine Learning Performance Engineer
London, United Kingdom - English (fluent)
Machine Learning PTX Sass Triton CUTLASS +12
Aleph Alpha Posted 2 months ago
Senior Performance Engineer- Pretraining (f/m/d)
Heidelberg, Germany - English
Python PyTorch CUDA NCCL MPI +3
PrimeIntellect Posted 7 months ago Open for 228+ days Reposted 10 time(s)
Member of Technical Staff - Inference
San Francisco, United States (Remote) - English
vLLM SGLang TensorRT-LLM NVIDIA Dynamo Python +7
$150.000–300.000 /yearFrequently Asked Questions
- There are currently 5 open positions that list Nsight Systems as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Nsight Systems jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.