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Urgent! Senior Software Engineer, Machine Learning Inference Job Opening In Santa Clara – Now Hiring NVIDIA
At NVIDIA, we're at the forefront of innovation, driving advancements in AI and machine learning to solve some of the world’s most challenging problems.
We're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI accelerators.
As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs. If you're ready to take on challenging projects and make a significant impact in a company that values creativity, excellence, and collaboration, we want to hear from you!
What you’ll be doing:
+ Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM to supercharge inference applications for datacenter, workstations, and PCs.
+ Develop software in C++, Python, and CUDA for seamless and efficient deployment of state-of-the-art LLMs and Generative AI models.
+ Collaborate with deep learning experts and GPU architects throughout the company to influence Hardware and Software design for inference.
What we need to see:
+ BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering or a related field.
+ 8+ years of software development experience on a large codebase or project.
+ Strong proficiency in C++ (required), Rust or Python programming languages.
+ Experience in developing Deep Learning Frameworks, Compilers, or System Software.
+ Excellent problem-solving skills and passion to learn and work effectively in a fast-paced, collaborative environment.
+ Strong communication skills and the ability to articulate complex technical concepts.
Ways to stand out from the crowd:
+ Experience in developing inference backends and compilers for GPUs.
+ Knowledge of Machine Learning techniques and GPU programming with CUDA or OpenCL.
+ Background in working with LLM inference frameworks like TensorRT-LLM, vLLM, SGLang.
+ Experience working with deep learning frameworks like TensorRT, PyTorch, JAX.
+ Knowledge of close-to-metal performance analysis, optimization techniques, and tools.
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 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until October 3, 2025.
NVIDIA is committed to fostering a diverse 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.
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Unlock Your Senior Software Potential: Insight & Career Growth Guide
Real-time Senior Software Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Software in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 218593 jobs in United States and 2921 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Software roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Software Engineer, Machine Learning Inference to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Software Engineer, Machine Learning Inference Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Software Engineer, Machine Learning Inference typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Software Engineer, Machine Learning Inference interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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