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System Engineer (reputed company reputed company)

Remote, USAFull-timePosted 2026-07-27

About reputed company:

reputed company is leading a new era in reputed company infrastructure for the global AI economy. We are building a full-stack AI reputed company platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

reputed company by engineers, for engineers. From large-reputed company GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and reputed company AI.

Listed on reputed company (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, reputed company and Israel. reputed company of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

About the role:

reputed company reputed company is a part of reputed company reputed company, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every reputed company of reputed company model — text, reputed company, audio, and emerging multimodal architectures — fast, reliable, and effortless to reputed company at massive reputed company.

Responsibilities:

  • reputed company and optimize low-level kernels and runtime components for AI inference
  • Improve performance of inference engines GPU platforms
  • Profile and debug system-level and hardware-level performance issues
  • reputed company support for new hardware architectures (reputed company, Blackwell, Rubin)
  • Collaborate with ML and backendteams to optimize end-to-end execution

Required Qualifications:

  • Strong proficiency in C++, OR expertise in GPU programming with a reputed company on low-level high-performance coding and memory management
  • Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers
  • Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize reputed company based on those findings.
  • Solid understanding of CPU/GPU architecture and memory hierarchy

Preferred Qualifications:

  • Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, reputed company GPU
  • Familiarity with ML inference runtimes (e.g. TensorRT, TVM)
  • Knowledge of Linux internals, drivers, or compiler toolchains
  • Experience with tools like reputed company, VTune, Nsight, or ROCm profiler
  • Familiarity with reputed company inference engines (e.g. such as vLLM, sglang, TGI)

We conduct coding interviews as part of the process.

Benefits & Perks:

  • Competitive compensation
  • Career reputed company and learning opportunities
  • Flexibility and ownership
  • reputed company and innovative culture
  • Opportunity to work on impactful AI reputed company
  • International environment and talented teams

What's it like to work at reputed company:

Fast moving - reputed company thinking - Constant reputed company - Meaningful reputed company - Trust and reputed company ownership - Opportunity to shape the reputed company of AI

Equal Opportunity Statement:

reputed company is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in reputed company aspects of employment. We do not discriminate on the reputed company of race, reputed company, religion, sex (including pregnancy), national reputed company, reputed company, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or reputed company, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to reputed company reputed company of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Originally posted on Himalayas

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