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Internship Nvidia Hardware Engineer Jobs in Puerto Rico

SOLX HOLDINGS LLC

PR · On-site

Familiarity with edge hardware (e.g. NVIDIA Jetson) and real-time systems a plus. * Comfortable working across software and the production floor. * Bilingual English / Spanish a plus.

Sargent & Lundy

Transmission Line Engineer 3 - Grid

San Juan, PR · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... hardware, insulation, structures, foundations and electrical principles to: * Design transmission ... Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ...

Sargent & Lundy

PR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... hardware, insulation, structures, foundations and electrical principles to: * Design transmission ... Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ...

FITS LLC

Process Automation Specialist

Manati, PR · On-site

The Technical Part: * BS in Engineering, Electronics, or Computer Science and 3+ years of combined ... internship time counts. * Strong knowledge of cGMP, FDA/EMA regulations, and 21 CFR Part 1 * ...

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Internship Nvidia Hardware Engineer information

What is the difference between Internship Nvidia Hardware Engineer vs Nvidia Hardware Engineer?

AspectInternship Nvidia Hardware EngineerNvidia Hardware Engineer
QualificationsEnrolled in a relevant degree program, some technical courseworkBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentInternship program, mentorship, collaborative teamsFull-time, professional environment, project ownership
ResponsibilitiesAssist in hardware design, testing, and documentationDesign, develop, and optimize hardware components and systems

Internship Nvidia Hardware Engineers are students gaining practical experience, focusing on learning and assisting with hardware projects. Nvidia Hardware Engineers are full-time professionals responsible for designing and developing advanced hardware solutions. The internship offers a pathway to a career in hardware engineering, while full-time roles involve more responsibility and expertise.

What are the key skills and qualifications needed to thrive as an internship Nvidia hardware engineer?

To thrive as an Internship Nvidia Hardware Engineer, you need a solid understanding of electrical engineering fundamentals, digital/analog circuit design, and relevant coursework or project experience. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools (like ModelSim or Cadence), and version control systems is typically expected. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top candidates in this role. These skills and qualities are crucial to efficiently contribute to complex hardware development projects and collaborate within multidisciplinary engineering teams.

What does an internship Nvidia hardware engineer do?

An Internship Nvidia Hardware Engineer works alongside experienced engineers to assist in designing, testing, and validating hardware components such as GPUs, processors, and related systems. Interns typically get hands-on experience with circuit design, simulation, debugging, and performance analysis. They may also collaborate with cross-functional teams to optimize hardware for efficiency and performance. This role gives students exposure to industry-standard tools and real-world engineering challenges, preparing them for future careers in hardware engineering.

What kinds of projects can an intern expect to work on as a hardware engineer at Nvidia?

As a Hardware Engineer intern at Nvidia, you can expect to be involved in hands-on projects that support the development, testing, and validation of hardware components such as GPUs, system boards, or AI accelerators. Interns often collaborate closely with experienced engineers, contributing to tasks like schematic reviews, board bring-up, signal integrity analysis, or automation of testing procedures. These projects provide opportunities to learn industry-standard tools and workflows, as well as gain practical experience in problem-solving and cross-functional teamwork. This exposure not only builds technical skills but also helps interns understand the end-to-end hardware development lifecycle.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Puerto Rico?

The most popular types of Nvidia Hardware Engineer jobs in Puerto Rico are:

What are popular job titles related to Internship Nvidia Hardware Engineer jobs in Puerto Rico?

For Internship Nvidia Hardware Engineer jobs in Puerto Rico, the most frequently searched job titles are:

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Internship Nvidia Hardware Engineer jobs near you
Infographic showing various Internship Nvidia Hardware Engineer job openings in Puerto Rico as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution.

Edge AI Platform Engineer

SOLX HOLDINGS LLC

PR • On-site

Full-time

Posted 25 days ago

Job description

Build the platform that runs SEVN — the software infrastructure that deploys, monitors, and scales vision models across the fleet of edge nodes on the line.

What you'll do
  • Build and operate the platform that provisions, deploys, and updates vision models across every station's edge node.
  • Own fleet management — device health, model versioning, safe rollouts, and over-the-air updates.
  • Build the data platform: pipelines from cameras and machines to storage, turning frames into traceable defect records.
  • Instrument observability — latency, accuracy, uptime, and drift monitoring across the network.
  • Containerize and orchestrate edge workloads for 24/7 reliability at scale.
  • Partner with CV/ML, controls, and quality to integrate inference into daily operations.
What you bring
  • BS / MS in Computer Science, EE, or related — or equivalent experience.
  • 3+ years in platform, ML infrastructure, or backend / distributed systems.
  • Experience with containers and orchestration (Docker, Kubernetes, or edge device management).
  • Strong Python (and/or Go); data pipelines and cloud / edge deployment.
  • Familiarity with edge hardware (e.g. NVIDIA Jetson) and real-time systems a plus.
  • Comfortable working across software and the production floor.
  • Bilingual English / Spanish a plus.