- 8+ overall years of software engineering experience with advanced knowledge in systems software, networking, or distributed systems. This experience allows credible participation in architecture reviews and making informed trade-off decisions.
- 3+ years of direct people management experience.
- BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering, or a related field.
- Ability to scope a problem, set a plan, and deliver results in a fast-paced R&D environment.
- Strong communication skills—comfortable speaking publicly, writing technical documents, and giving candid feedback.
- Good understanding of computer architecture, memory hierarchies, DMA engines, and networking.
- Proficiency in programming languages such as C, C++, Rust and Python.
- Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.
Ways to stand out from the crowd
- Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.
- Familiarity with hardware and software ecosystems.
- Experience with agile methodologies adapted for engineering teams dedicated to research.
This role is born out of the unprecedented growth in this segment of the industry, our engineering teams are experience rapid demand increases. If you're a creative and autonomous engineer with a real passion for technology, we want to speak with you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 2; and 224,000 USD – 356,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.