Senior Deep Learning Engineering - Autonomous Vehicles
What You Will Be Doing
- Explore state-of-the-art LLM/VLM models for search and classification of AV scenarios
- Hands-on model development, including fine-tuning large LLM/VLMs for internal use cases
- Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment
What We Want To See
- Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
- 10+ years of professional experience in deep learning or applied machine learning
- Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs
- Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such as Qwen family
- Proficient in building and deploying models using PyTorch in production-grade environments
- Solid programming skills in Python
Ways To Stand Out From The Crowd
- Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang
- Hands-on experience with SFT, DPO, GRPO techniques for fine-tuning
- Proven experience in developing image and video search solutions at scale
Base Salary Range
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
Additional Information
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.