... a senior software engineer. In this exciting role, you will profile, analyze, and optimize AI workloads on large-scale GPU and CPU clusters used for distributed Deep Learning LLM training and ...
... a senior software engineer. In this exciting role, you will profile, analyze, and optimize AI workloads on large-scale GPU and CPU clusters used for distributed Deep Learning LLM training and ...
... a senior software engineer. In this exciting role, you will profile, analyze, and optimize AI workloads on large-scale GPU and CPU clusters used for distributed Deep Learning LLM training and ...
... a senior software engineer. In this exciting role, you will profile, analyze, and optimize AI workloads on large-scale GPU and CPU clusters used for distributed Deep Learning LLM training and ...
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Software Developer Ai Trainer information
What is a software developer AI trainer?
A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.
What types of projects do software developer AI trainers typically work on?
Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.
What are the key skills and qualifications needed to thrive as a software developer AI trainer?
To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

Full-time
Re-posted 28 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
Job description
The AI Networking Codesign and Benchmarking R&D group requires a senior software engineer. In this exciting role, you will profile, analyze, and optimize AI workloads on large-scale GPU and CPU clusters used for distributed Deep Learning LLM training and inference. Your primary focus will be collectives communication and networking. You will work across hardware components such as HCAs, Switches, CPUs, GPUs, and Systems. You will also engage with software layers including LLM applications, machine learning frameworks, communication, and computing libraries. Moreover, you will build performance analysis tools and strategies to investigate details and clarify performance expectations, limitations, and bottlenecks. This is your chance to contribute to AI innovation!
What you'll be doing:
- Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance networking and NVIDIA communication libraries.
- Benchmarking, profiling, and analyzing the performance to find bottlenecks and identify areas for improvement and optimizations, with a strong emphasis on networking aspects.
- Developing PyTorch trace-based profiling, analysis, and replaying toolset to aid in benchmarking, debugging, and co-designing network systems for LLM workloads.
- Collaborating with multiple teams from hardware to software to provide performance analysis insights.
- Defining performance test plans, setting performance expectations for new technologies and solutions, and working to achieve performance targets.
What we need to see:
- B.Sc in Computer Science or Software Engineering or equivalent experience.
- 15+ years of experience with high-performance networking (RDMA, MPI, NCCL, SHARP).
- Demonstrated ability in performance evaluation techniques and approaches.
- Experience with NVIDIA GPUs and the CUDA library. Knowledge of deep learning frameworks like TensorFlow or PyTorch. Expertise in networking collective communication libraries such as NCCL and protocols like RoCE and RDMA.
- Fast and self-learning capabilities with strong analytical and problem-solving skills.
- Proficiency in programming languages: Python, Bash, and C++.
- Experience with a container-based development environment.
- Great teammate who communicates clearly and works well with others.
Ways to stand out from the crowd:
- Extensive understanding and hands-on experience with AI workloads and benchmarking for distributed LLM training.
- Knowledge in PyTorch, CUDA, and NCCL libraries.
- Comprehensive system knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, HCA, Memory, PCI).
- Strong capabilities in performance evaluation and methods using contemporary tools.
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 6, and 320,000 USD - 488,750 USD for Level 7.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 16, 2026.
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 Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993