Senior Engineering Manager- AI Solutions
AledadeSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software Development, Research & DevelopmentIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related quantitative field, along with a minimum of 10 years of experience in software engineering or system architecture, with a strong focus on Python, C++, or Go development. Five or more years of experience leading a multi-functional team, providing professional development, growth, and technical mentorship are required. Experience leading a team developing in agentic frameworks such as LangChain, Semantic Kernel, Crew.ai, AutoGen, or Google ADK is essential, and a demonstrated success in developing generative or agentic AI applications as proof-of-concept is needed.
Responsibilities
The Senior Engineering Manager will conceptualize, design, develop, and implement agentic AI blueprints (applications) to demonstrate enterprise deployment of this technology, ensuring they meet high standards for quality and robustness. They will define success criteria, including reproducible workflows and datasets, and lead an applied research and development team focused on agentic AI blueprints. The role involves collaborating with NVIDIA product teams and external partners to build applicable applications and providing technical leadership and mentorship across teams and projects. The manager will also ensure the applications are composable and demonstrate a passion for working on the cutting edge of technology while quickly learning and applying new technologies.
Skills
Generative AI
Applied Research
System Architecture
AI Blueprints
Application Development
Leadership
Mentorship
Collaboration
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees