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Nvidia Hardware Engineer Jobs (NOW HIRING)

Tristar AI, Inc.

Hardware Engineer

Cambridge, MA · On-site

$90 - $120/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.

New

Nvidia

System Software Engineer - CUDA Chips

Santa Clara, CA · On-site

$203K - $240K/yr

We are hiring engineers to work on the CUDA driver, a core component of our platform for ... Our team delivers features and improvements to better realize the potential of NVIDIA hardware for ...

Wayve

Hardware Engineer

Sunnyvale, CA · On-site

$185K - $247K/yr

The Role We are seeking an experienced Hardware Engineer to join our Hardware team and play a key ... Familiarity with NVIDIA and Qualcomm SoC applications * Experience working with contract ...

Nvidia

ATE and SLT Hardware Engineer

Santa Clara, CA · On-site

$145K - $191K/yr

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 ... SLT hardware engineering experience. * Experience with test sockets and thermal plungers is a ...

Wayve

Hardware Engineer

Sunnyvale, CA · Hybrid

$185K - $247K/yr

The Role We are seeking an experienced Hardware Engineer to join our Hardware team and play a key ... Familiarity with NVIDIA and Qualcomm SoC applications * Experience working with contract ...

NVIDIA Gruppe

ATE and SLT Hardware Engineer

Santa Clara, CA · On-site

$132 - $207/hr

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 ... SLT hardware engineering experience. * Experience with test sockets and thermal plungers is a ...

New

Nvidia

AI Hardware Architect

Santa Clara, CA

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Nvidia solutions. * Guide customers and firmware engineers to extract the most performance from ...

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All JobsNvidia Hardware Engineer Jobs

Nvidia Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do nvidia hardware engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, digital and analog circuit design, and familiarity with ASIC/FPGA development, typically demonstrated through a relevant degree and experience. Expertise with industry-standard tools like Cadence, Synopsys, and scripting languages, as well as knowledge of hardware validation methods, is frequently required. Strong problem-solving abilities, teamwork, and effective communication help engineers navigate complex projects and work across multidisciplinary groups. These skills and qualities are critical for designing innovative, high-performance hardware components and ensuring their successful integration into Nvidia’s advanced technologies.

What does an Nvidia hardware engineer do?

A typical day for an Nvidia Hardware Engineer involves designing, simulating, and testing hardware components, often working closely with software, verification, and product teams to ensure designs meet performance and reliability standards. The role includes reviewing schematics, running validation tests, analyzing data, and addressing technical challenges as they arise. Engineers regularly participate in cross-functional meetings to align on project goals, share updates, and troubleshoot issues collaboratively. This collaborative environment ensures that new Nvidia products are developed efficiently and meet the industry’s demanding standards, providing engineers with significant opportunities for learning and professional growth.

What is an Nvidia hardware engineer?

An Nvidia Hardware Engineer is responsible for designing, developing, and optimizing cutting-edge hardware components such as GPUs, AI accelerators, and high-performance computing chips. They work on circuit design, system architecture, validation, and performance optimization to ensure Nvidia's products meet industry standards. These engineers collaborate with software teams to enhance hardware-software integration and improve efficiency. The role requires expertise in areas like VLSI design, FPGA/ASIC development, and power management. Strong problem-solving skills and a background in electrical or computer engineering are essential.

More about Nvidia Hardware Engineer jobs
What cities are hiring for Nvidia Hardware Engineer jobs? Cities with the most Nvidia Hardware Engineer job openings:
What are the most commonly searched types of Nvidia Hardware Engineer jobs? The most popular types of Nvidia Hardware Engineer jobs are:
What states have the most Nvidia Hardware Engineer jobs? States with the most job openings for Nvidia Hardware Engineer jobs include:
What job categories do people searching Nvidia Hardware Engineer jobs look for? The top searched job categories for Nvidia Hardware Engineer jobs are:
Nvidia Hardware Engineer jobs near you
Infographic showing various Nvidia Hardware Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Hardware Engineer

Tristar AI, Inc.

Cambridge, MA • On-site

$90 - $120/hr

Other

Posted 2 days ago

New

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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