Senior Software Engineer - Deep Learning
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
High value due to the strong focus on AI technologies and the opportunity for significant contributions to innovative projects.
- Engagement with cutting-edge AI in video technology.
- Strong career development opportunities.
- Collaborative working environment at a leading tech company.
Pros
- Engagement with state-of-the-art AI models.
- Strong teamwork and collaboration emphasis.
- Potential for substantial career growth in a leading tech firm.
Cons
- Expectations for advanced technical skills may limit applicants.
- High-pressure work culture.
- Possibly limited remote flexibility.
Who it's for
Senior to Lead • On-site or hybrid
Good fit
- Engineers experienced in AI and video technologies.
- Professionals seeking to innovate in the tech industry.
- Those who enjoy collaborative tech projects.
Not recommended for
- New engineers without deep learning expertise.
- Candidates not interested in a fast-paced setting.
- Individuals seeking remote-only positions.
Motivation fit
Key skills
About the job
NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. In the AI era, it’s a unique legacy of innovation that’s fueled by great technology and amazing people. Our team builds state-of-the-art AI models for video streaming and broadcasting. Our models are deployed on the NVIDIA Maxine platform for real-time video communication and content creation (https://developer.nvidia.com/maxine). Our AI technologies are also offered in NVIDIA Broadcast App to enhance the video and voice in live streaming and conference calls.
We are now looking for outstanding engineers to join the NVIDIA AI for media team. You will work alongside brilliant engineers on core technologies to solve ambitious computer vision and deep learning problems, especially building and optimizing real-time AI solutions that could run anywhere on cloud or premise.
What You’ll Be Doing:
Develop highly efficient and low cost AI models and algorithms for computer vision and video AI
Optimize the performance, latency and power consumption of AI models on low power processors for deep learning acceleration
Deploying deep learning models and optimize the inference stack for real-time performance
Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning
Closely collaborate with different deep learning software and hardware teams across NVIDIA to influence roadmaps and deliver solutions
What We Need To See:
Strong experience of building and optimizing innovative AI model architectures for video use cases
Strong experience of developing efficient models with model pruning, distillation, post-quantization and quantization aware training
Experience with analyzing and fine-tuning deep learning pipeline performance
Experience with building real-time AI models for laptop and cloud use cases
Hands-on development skills using deep learning libraries and frameworks such as PyTorch/TensorFlow/ONNX, TensorRT/Triton/WinML and other neural processing SDKs
Collaboration ability to define project scope and roadmap together with the team while independently drive development effort with strong self-motivation
8+ years of relevant engineering or research background in deep learning and/or computer vision
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related fields (or equivalent experience)
Ways to stand out from the crowd:
Experience with AI inference accelerating hardware and building/optimizing models on them
Background with performance and latency analysis, profiling and tuning of AI workloads
Experience with CUDA programming, as well as a real passion for optimizing AI system performance
Experience of building platforms for computer vision such as real-time tracking of human face, gaze and body, as well as avatar animation and modeling.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. As a part of NVIDIA, we have the opportunity to influence the future with your vision and expertise. Are you creative? 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 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 1, 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.#deeplearning
