Staff Software Engineer, Speculative Decoding
GroqFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must possess a Master's or PhD in a relevant technical field or equivalent experience, with over 5 years of work or research experience in Python/C++ software development. A strong understanding of modern NLP, including transformer, state space, diffusion, and MOE model architectures, is required, along with knowledge of key NLP/LLM libraries for training or deployment. Excellent English communication and presentation skills are essential, as is the ability to collaborate effectively across multiple teams in a fast-paced environment. Experience with large-scale distributed DL training/inference, HPC systems, and data center design is advantageous.
The Deep Learning Solutions Architect will work directly with key customers to understand their technology needs and provide optimal AI solutions, focusing on large-scale inference optimization. Responsibilities include performing in-depth analysis and optimization for GPU architecture systems, particularly Grace/ARM-based systems, and supporting the optimization of large-scale inference pipelines. The role involves partnering with Engineering, Product, and Sales teams to develop customer solutions, enabling product feature development through customer feedback, and conducting proof-of-concept evaluations.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.