Manager, Deep Learning Algorithms
at Nvidia
π Santa Clara, United States
USD 224,000-425,500 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Algorithms @ 3 Leadership @ 3 Communication @ 3 Mentoring @ 3 Jira @ 2 Debugging @ 3 Technical Leadership @ 3 Project Management @ 2 LLM @ 3Details
NVIDIA is seeking an engineering manager to lead engineering activities related to productizing deep learning models. Academic and commercial groups around the world are using GPUs to redefine artificial intelligence and data analytics, and to power data centers. You will interact with the scientific community to implement and improve the latest algorithms and work in a multifaceted, product-centric environment. The role involves mentoring engineers, coordinating across teams and geographies, and owning roadmap development of highly optimized numerical, analytics, and deep learning algorithms across the full DL software stack.
Responsibilities
- Plan, schedule, mentor, and lead execution of projects and team activities, including creating, optimizing, and deploying inference deep learning workloads.
- Collaborate with internal customers to align priorities across business units.
- Coordinate projects across different geographic locations.
- Grow and develop a world-class engineering team; provide technical leadership and mentoring.
- Travel occasionally to conferences, other sites, or customer visits.
Requirements
- Minimum requirement of BSc or equivalent experience.
- 8+ years of overall related experience, including 3 years of management/leadership experience.
- Experience leading multiple software engineering projects.
- Strong experience with Large Language Models (LLMs) and Large Visual-Language Models (VLMs).
- Good understanding of deep learning and a strong algorithmic background.
- Excellent programming, debugging, performance analysis, and test design skills.
- Great communication and interpersonal skills.
Ways to stand out
- Experience with inference of deep learning models and large-scale LLM/VLM deployment.
- Experience doing performance analysis and tuning.
- Exposure to inference platforms such as TensorRT-LLM, vLLM, and SGLang.
- Familiarity with project management tools (e.g., JIRA, Microsoft Project).
Compensation & Benefits
- Base salary will be determined based on location, experience, and pay of employees in similar positions.
- Base salary ranges:
- Level 3: 224,000 USD - 356,500 USD
- Level 4: 272,000 USD - 425,500 USD
- You will also be eligible for equity and benefits (see NVIDIA benefits).
Other information
- Applications for this job will be accepted at least until October 3, 2025.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment and does not discriminate on the basis of legally protected characteristics.