#JR1985934
workloads using sophisticated profiling and simulation tools
Build SOLID, extendable inference software systems, and refine robust APIs
Implement and debug low-level GPU code to harness the latest HW features
Own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products
What we need to see:
B.Sc., M.Sc. or equivalent experience in Computer Science or Computer Engineering
5+ years of relevant hands-on software engineering experience
Profound knowledge of software design principles
Strong proficiency in at least one system and one scripting language
Strong grasp of machine learning concepts
People person with excellent communication skills that enjoys collaboration and teamwork.
Ways to stand out from the crowd:
Familiarity with Nvidia's DL software stack, e.g. Triton Inference Server, TensorRT-LLM, and Model Optimizer
Proven track record of performance modeling, profiling, debugging, and development in a performance-critical setting with Nvidia's accelerators.
Familiarity with LLM quantization, fine-tunning, and caching algorithms
Proficiency in GPU kernel programming (CUDA or OpenCL)
Prior experience working on a large software project with 50+ contributors
NVIDIA is widely considered one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. We highly value diversity in our current and future employees. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.