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Ai Hardware Engineer Jobs in Rochester, NY (NOW HIRING)

Robotics Tutor

Rochester, NY · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

... hardware, manufacturing, or AI / hyperscale infrastructure environments preferred. * Familiarity ... Our more than 90,000 employees, including 10,000 engineers, work alongside customers in ...

IT Support Analyst

Rochester, NY · On-site

$65K - $65K/yr

... to Engineering when needed, and build foundational AWS cloud support skills as your experience ... Provide hands-on desktop and end-user support (hardware, software, Microsoft 365) for our ...

... to Engineering when needed, and build foundational AWS cloud support skills as your experience ... Provide hands-on desktop and end-user support (hardware, software, Microsoft 365) for our ...

Showing results 21-34

Ai Hardware Engineer information

See Rochester, NY salary details

$50.6K

$145.2K

$195.1K

How much do ai hardware engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai hardware engineer in Rochester, NY is $145,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $161,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI hardware engineer, and why are they important?

To thrive as an AI Hardware Engineer, you need strong foundations in computer engineering, digital logic design, and knowledge of machine learning algorithms, typically supported by a degree in electrical engineering or computer engineering. Familiarity with hardware description languages (such as Verilog or VHDL), FPGA/ASIC development tools, and experience with simulation and debugging systems are essential. Problem-solving abilities, attention to detail, and effective teamwork are standout soft skills for this role. These skills are crucial for creating efficient, reliable AI hardware solutions and collaborating across multidisciplinary teams to advance cutting-edge technologies.

What is an AI hardware engineer?

AI Hardware Engineers are professionals who design, develop, and optimize computer hardware systems specifically for artificial intelligence applications. Their work involves creating specialized processors, such as GPUs, TPUs, or custom chips, that accelerate machine learning tasks and handle large-scale data processing efficiently. They collaborate with software engineers to ensure hardware and AI models work seamlessly together, improving performance, power efficiency, and scalability of AI systems. AI Hardware Engineers play a crucial role in advancing technologies used in data centers, autonomous vehicles, robotics, and edge devices.

What is the difference between Ai Hardware Engineer vs AI Software Engineer?

AspectAi Hardware EngineerAI Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware design and programmingBachelor's or higher in Computer Science, Software Engineering, or related; proficiency in programming languages and AI frameworks
Work EnvironmentDesigning, testing, and developing AI hardware components in labs or manufacturing settingsDeveloping AI algorithms and applications in software development environments
Employer & Industry UsageTech companies, hardware manufacturers, research labsSoftware firms, tech startups, AI research organizations

While both roles focus on AI, Ai Hardware Engineers specialize in creating the physical components that enable AI systems, whereas AI Software Engineers develop the algorithms and software that run on hardware platforms. Understanding these differences helps job seekers target the right roles based on their skills and interests.

How do AI hardware engineers typically collaborate with software and data teams during the development process?

AI Hardware Engineers work closely with software developers and data scientists to ensure that hardware architectures are optimized for specific AI workloads. Collaboration often involves regular meetings to discuss performance requirements, compatibility challenges, and customizations needed for machine learning models. By maintaining open communication channels, hardware engineers can adapt designs based on feedback from software and data teams, ensuring seamless integration and optimal system performance.
What are popular job titles related to Ai Hardware Engineer jobs in Rochester, NY? For Ai Hardware Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ai Hardware Engineer jobs in Rochester, NY look for? The top searched job categories for Ai Hardware Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai Hardware Engineer jobs? Cities near Rochester, NY with the most Ai Hardware Engineer job openings:
Infographic showing various Ai Hardware Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $145,164 per year, or $69.8 per hour.

Robotics Tutor

Varsity Tutors

Rochester, NY • Remote

$18 - $40/hr

Part-time

Re-posted 11 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Robotics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Robotics Tutor
  • Advanced Subject Mastery: Deep knowledge of robotics fundamentals including mechanical design, electronics, sensors, actuators, microcontrollers, programming for robots, control systems, and competition robotics platforms. Ability to explain sensor integration, PID control, gear ratios, and autonomous navigation while preparing students for robotics competitions, engineering coursework, and STEM career pathways.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming microcontrollers, integrating sensors for environmental feedback, and troubleshooting robot behavior. Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with robotics curricula and competition platforms including FIRST, VEX, and Arduino-based programs, and common challenges such as debugging hardware-software integration, understanding control systems, and managing team-based design projects. Adapts instruction using hands-on building activities, programming tutorials, and competition preparation to support students from elementary introductory robotics through advanced competition and engineering levels.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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