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Internship Nvidia Hardware Engineer Jobs in Boston, MA

Hardware Engineer

Cambridge, MA · On-site

$100 - $125/hr

Engineering About Tristar AI Tristar AI is a cutting-edge computer vision startup transforming ... Familiarity with NVIDIA GPUs, edge computing devices, and hardware integration for AI inference.

Senior Hardware Engineer (Boston)

Boston, MA · On-site

$120K - $160K/yr

The Role We're looking for a Lead Hardware Engineer to own and evolve the hardware systems that ... You'll be working with NVIDIA Jetson-based camera systems and leading integration of compute ...

We are now looking for a Principal Hardware SoC Architect for our Tegra team! Do you want to be ... programming experience. * Inventions in one or more domains relevant to SoC architecture. NVIDIA is ...

We are now looking for a Principal Hardware SoC Architect for our Tegra team. Do you want to be ... programming experience. Inventions in one or more domains relevant to SoC architecture. NVIDIA is ...

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Internship Nvidia Hardware Engineer information

See Boston, MA salary details

$55.4K

$158.9K

$213.5K

How much do internship nvidia hardware engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for internship nvidia hardware engineer in Boston, MA is $158,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,200.00 and $177,100.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Nvidia Hardware Engineer jobs in Boston, MA?

The most popular types of Nvidia Hardware Engineer jobs in Boston, MA are:

What are popular job titles related to Internship Nvidia Hardware Engineer jobs in Boston, MA?

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

What job categories do people searching Internship Nvidia Hardware Engineer jobs in Boston, MA look for?

The top searched job categories for Internship Nvidia Hardware Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Internship Nvidia Hardware Engineer jobs?

Cities near Boston, MA with the most Internship Nvidia Hardware Engineer job openings:

Infographic showing various Internship Nvidia Hardware Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $158,865 per year, or $76.4 per hour.

Hardware Engineer

Tristar AI, Inc.

Cambridge, MA • On-site

$100 - $125/hr

Other

Re-posted 4 days ago


Job description

Careers Hardware Engineer

Location: Hybrid - Cambridge, MA (On-Site 3 Days Weekly)

Type: Full-Time

Department: Engineering

About Tristar AI

Tristar AI is a cutting-edge computer vision startup transforming quality control and safety in manufacturing through scalable, AI‑driven defect detection systems. Our technology is deployed on high‑speed lines across industries, delivering ROI through accuracy, efficiency, and automation.

Role Overview

We are seeking an experienced Hardware Engineer to support the design, configuration, and deployment of hardware setups for vision systems on a project‑by‑project basis. This role is ideal for someone with a deep understanding of industrial imaging, lighting, GPUs, and edge compute who can assess customer environments and help recommend, source, and validate optimal hardware configurations tailored to specific manufacturing use cases.

Responsibilities
  • Collaborate with Tristar AI's engineering and deployment teams to define/design vision system hardware requirements based on customer use cases (e.g., lighting, camera specs, structural design, GPU/edge server requirements).
  • Evaluate environmental and operational factors such as part speed, ambient lighting, space constraints, and mounting options.
  • Recommend optimal hardware configurations including industrial cameras, lenses, lighting systems, compute hardware (e.g., NVIDIA GPUs), and networking equipment.
  • Assist with testing, and qualifying hardware for performance and reliability in pilot and production environments.
  • Document configuration recommendations, wiring diagrams, and setup guides to support future deployments.
  • Participate in customer site visits and hardware validation efforts as needed.
Qualifications
  • 5+ years of experience in hardware engineering, systems integration, or solution architecture involving machine vision systems.
  • Strong working knowledge of industrial cameras (e.g., FLIR, Basler), lenses, lighting systems, and image acquisition hardware.
  • Familiarity with NVIDIA GPUs, edge computing devices, and hardware integration for AI inference.
  • Ability to think critically about environmental constraints and optimize hardware setups for real‑world manufacturing conditions.
  • Experience collaborating with cross‑functional technical teams and field engineers.
  • Excellent written and verbal communication skills.
Preferred
  • Experience with defect detection, safety or ergonomics‑related computer vision deployments.
  • Exposure to manufacturing automation systems, PLCs, or industrial network protocols.
Benefits
  • Direct impact on product and culture.
  • Company equity.
  • Competitive compensation and benefits.
  • Free coffee, juice, and snacks at our CIC office in Cambridge.
  • Flexible work schedule.
  • Sponsored company events and happy hours.

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Contact: +1 (832) 714-0243 | hello@tristar.ai

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