Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Algorithms @ 3
Leadership @ 6
Communication @ 3
Jira @ 2
Debugging @ 3
Project Management @ 2
LLM @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 join the team building software used globally, interact with the scientific community to implement and improve the latest algorithms, and work in a multifaceted, product-centric environment that requires excellent interpersonal skills.
Responsibilities
- Plan, schedule, mentor, and lead the execution of projects and activities of the team, 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.
- Travel to conferences, other sites, or visit customers occasionally.
Requirements
- Minimum requirement of BSc or equivalent experience.
- 8+ years of related overall 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).
- Exposure to large-scale LLM/VLM deployment, inference optimization, and the full DL software stack.
- 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.
- 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 and Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is:
- 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.
Additional information
- Applications for this job will be accepted at least until October 3, 2025.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate 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.