Senior Solutions Architect - AI Infrastructure Engineer
NVIDIASalary not specified
- Full Time
- Senior (5 to 8 years)
$295,000 – $440,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Industrial & Manufacturing, Energy, HardwareIndustries
Requirements
Candidates should have 7+ years of software engineering experience focused on large-scale, system-level challenges. Strong proficiency in Python and familiarity with automation and scripting tools is required, along with experience in distributed systems for data analysis. Knowledge of electrical engineering concepts, experience in system-level investigations, and strong analytical skills are also necessary. Comfort working with both hardware and software teams is essential.
Responsibilities
The Software Engineer will develop and implement solutions to optimize power usage in large-scale supercomputers and build automation to monitor power consumption patterns. They will work with researchers to design tools for real-time monitoring and collaborate cross-functionally to translate electrical system requirements into code. Additionally, they will drive the development of power throttling mechanisms and integrate power control requirements into IT hardware design.
Skills
Power Management
System-Level Programming
Software Development
Automation
Monitoring
Algorithm Design
Data Analysis
Real-time Monitoring
Hardware Fault Detection
Grid Stability
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees