Senior Performance and Scale Engineer - Distributed LLM Inference

This role needs a seasoned engineer that thinks creatively, adapts to rapid change, and has the willingness to learn and apply new technologies. You will be joining a vibrant open source culture, and helping promote performance and innovation in this company engineering team. The border mission of the Performance and Scale team is to establish performance and scale leadership of the company product and cloud services portfolio. The scope includes component level, system and solution analysis and targeted enhancements. The team collaborates with engineering, product management, product marketing and customer support as well as our companys hardware and software ecosystem partners.
At our company, our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. workers embrace change  especially in our fast-moving technological landscape  and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethi

דרישות:

3+ years in performance engineering or systems‑level software design
Hands‑on expertise with Kubernetes/OpenShift
Basic understanding of AI and LLMs fundamentals
Fluency in Python (data & ML), strong Bash/Linux skills
Exceptional communication skills - able to translate raw performance numbers into customer value and executive narratives
Commitment to open‑source values
The following is considered a plus:
Masters or PhD in Computer Science, AI, or a related field
History of upstream contributions and community leadership
Hands-on experience with Kubernetes/OpenShift
Familiarity with performance observability stacks such as perf/eBPF‑tools, Nsight Systems, PyTorch Profiler, among others
Hands-on experience with modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI, Triton Inference Server). המשרה מיועדת לנשים ולגברים כאחד.