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Job Description
Junior Field Applications Engineer | NVIDIA
The Tone:
This is an early career, field-based role at NVIDIA, focused on supporting customer deployments. NVIDIA develops impactful AI platforms and enterprise solutions, including advanced datacenter systems and networking technology. This role is crucial for delivering these groundbreaking AI solutions to leading academic institutions, startups, and large enterprise companies, providing technical leadership and ensuring successful system implementation.
The TL;DR
• Role: Early Career
• Location: Field-based, requiring travel for onsite deployments
• Pay: $92000–$178250 yearly
• Mission: Help customers implement NVIDIA’s AI platforms through expert system design and onsite support for large-scale deployments.
• Tech Stack: TCP/IP, RDMA, RoCE, NICs, Switches, C/C++, Python, Embedded Linux System, APIs
What You’ll Actually Do
• Support: Provide onsite technical support during large-scale deployments of NVIDIA AI solutions.
• Troubleshoot: Resolve complex hardware and deployment challenges encountered in real-world scenarios.
• Advise: Serve as a technical expert on GPU and networking products, aiding sales and internal teams to deliver AI datacenter solutions.
• Collaborate: Build strong technical relationships with customer engineers, management, and architects at key accounts.
• Analyze: Discover customer architectures and critical product requirements within the changing enterprise AI market.
The Must-Haves
• Background: Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, or Computer Science, or equivalent experience. Core domain knowledge in system design or technical customer support within high-tech electronics.
• Experience: 1+ years of work-related experience in the high-tech electronics industry, specifically in a system design or technical customer support role.
• Skills: In-depth knowledge of servers, storage systems, network devices, and other critical data center hardware components; expert analytical and problem-solving skills; strong written and oral communication skills in English.
• Bonus: Experience with large-scale rollouts of datacenter equipment; comprehensive networking knowledge (TCP/IP, RDMA, RoCE, NICs, Switches); proficiency in C/C++ and Python; familiarity with Embedded Linux System, APIs, and similar embedded OS; experience working with OEMs in the industrial, military, and ruggedized computing space.