NVIDIA AI is seeking a Field Applications Engineer to support their AI platforms used across ... Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees.
NVIDIA AI is seeking a Field Applications Engineer to support their AI platforms used across ... Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees.
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Senior AI Infrastructure Engineer
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Ai Santa information
See salary details
$71.5K - $79.2K
7% of jobs
$79.2K - $87K
10% of jobs
$92.8K is the 25th percentile. Wages below this are outliers.
$87K - $94.7K
11% of jobs
$94.7K - $102.4K
11% of jobs
The median wage is $109.5K / yr.
$102.4K - $110.1K
13% of jobs
$110.1K - $117.9K
12% of jobs
$123.4K is the 75th percentile. Wages above this are outliers.
$117.9K - $125.6K
17% of jobs
$125.6K - $133.3K
12% of jobs
$133.3K - $141K
9% of jobs
$141K - $148.8K
0% of jobs
$148.8K - $156.5K
0% of jobs
$71.5K
$112K
$156.5K
How much do ai santa jobs pay per year?
What is the difference between Ai Santa vs Ai Developer?
| Aspect | Ai Santa | Ai Developer |
|---|---|---|
| Required Credentials | Typically no formal certifications, but knowledge of AI concepts helpful | Often requires degrees or certifications in AI, machine learning, or computer science |
| Work Environment | Customer-facing, seasonal, retail or entertainment settings | Office, research labs, or tech companies, focused on development |
| Industry Usage | Primarily in retail, entertainment, or holiday events | Technology, software development, AI research |
| Common Search/Comparison | Yes | No |
Ai Santa and Ai Developer roles differ mainly in credentials, work environment, and industry. Ai Santa is a seasonal, customer-facing role often found in retail or entertainment, with minimal formal requirements. In contrast, Ai Developers work in tech environments, requiring specialized education and focusing on creating AI solutions. While both involve AI, their job functions and settings are distinct.
How much do professional Santas get paid?
What is a $900000 AI job?
What's the easiest AI job to get?
Which 3 jobs will survive AI?
Full-time
Posted 13 days ago
Job description
NVIDIA AI is seeking a Field Applications Engineer to support their AI platforms used across various industries. The role focuses on onsite technical engagement for large datacenter deployments, solving hardware issues, and establishing relationships with customers and internal teams.
Responsibilities:
• Provide onsite support for large datacenter deployments of NVIDIA AI solutions.
• Solving complex hardware and deployment issues
• Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions.
• Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.
• Identify customer architectures and key product requirements in the enterprise AI market.
• Provide technical and sales training to the direct sales team and channel partners.
• Establish strong relationships and communication channels with internal teams.
Qualifications:
Required:
• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
• 5+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role.
• In-depth knowledge of servers, storage systems, network devices, and other data center hardware.
• Capable of working in a constantly evolving environment without losing focus.
• Ability to multitask effectively in a multifaceted environment.
• Expert analytical and problem-solving skills.
• Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects.
• Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering.
Preferred:
• Experience with large-scale rollouts of datacenter equipment.
• Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc.
• C/C++ and Python programming skills.
• Embedded Linux System, APIs, and similar embedded OS knowledge.
• Experience working with OEMs in the industrial, military, and ruggedized computing space.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.