Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years of software development experience.
- Education
- A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.
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Role Summary
The Senior Software Engineer will join NVIDIA’s Deep Learning Inference TensorRT software team to build an inference framework for accelerating deep learning models, especially Large Language Models, on NVIDIA GPUs. The role contributes to TensorRT and collaborates with deep learning experts, GPU architects, and DevOps engineers to support effective model deployment and high-performance inference.
What You'll Do
- Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance.
- Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.
- Follow academic developments in artificial intelligence and feature-update TensorRT.
- Use C++ and Python to build graph parsers, optimizers, and tools for deployment of trained deep learning models.
- Collaborate with teams of deep learning experts, GPU architects, and DevOps engineers across diverse teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong experience with the latest C++ standards; strong grasp of Machine Learning concepts; experience and knowledge in Computer Architecture, Data Structures, Algorithms; excellent communication skills and an aptitude for collaboration and teamwork.
Required
- C++11/C++14/C++17/C++20 or later standards
- Machine Learning concepts
- Computer Architecture
- Data Structures
- Algorithms
- Communication and collaboration skills
Preferred
- System Software development
- Python
- GPU kernel programming using CUDA or OpenCL
- Software performance benchmarking, profiling, and optimizations
- Compiler development
- TensorRT, PyTorch, TensorFlow, ONNX Runtime, or other ML frameworks
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are now looking for a Senior Software Engineer for Deep Learning Inference! Would you like to make a big impact in Deep Learning by helping build a state-of-the-art inference framework for accelerating Deep Learning models, especially Large Language Models, on NVIDIA GPUs? We are now welcoming exceptional software engineers to apply to Senior Engineering positions in the Deep Learning Inference TensorRT software team.
What you’ll be doing:
Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.
Closely follow academic developments in the field of artificial intelligence and feature update TensorRT
Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.
Collaborate with teams of deep learning experts, GPU architects and DevOps engineers across diverse teams.
What we need to see:
A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.
3+ years of software development experience.
Strong experience with the latest C++ standardsC++11/C++14/C++17/C++20, etc..
Strong grasp of Machine Learning concepts.
Experience and knowledge in Computer Architecture, Data Structures, Algorithms.
Excellent communication skills, and an aptitude for collaboration and teamwork.
Ways to stand out from the crowd:
Experience developing System Software.
Proficiency in Python as well as Background in GPU kernel programming using CUDA or OpenCL.
Experience in software performance benchmarking, profiling, and optimizations.
Background in compiler development
Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our TensorRT Workflows team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.