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

Oversee the design and implementation of motor control center hardware. * Collaborate with cross ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

Lead Controls Engineer

Victor, NY

$80K - $103K/yr

The ideal candidate has extensive experience in controls hardware design, PLC/HMI programming ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

Ability to configure PC hardware/software for Ethernet and Serial communication Desired ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Ability to configure PC hardware/software for Ethernet and Serial communication Desired ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

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Showing results 1-20

Ai Hardware Engineer information

See Rochester, NY salary details

$50.3K

$144.3K

$193.9K

How much do ai hardware engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for ai hardware engineer in Rochester, NY is $144,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $160,800.00 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 July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $144,281 per year, or $69.4 per hour.

Senior Embedded Software and Hardware Engineer

Token

West Henrietta, NY • On-site, Remote

$150K - $185K/yr

Full-time

Medical, Dental, Vision

Posted 13 days ago


Job description

Senior Embedded Software & Hardware Engineer
About The Role
Token is a biometric assured identity company building the most secure and seamless authentication hardware on the market. Our flagship product, the Token Ring, is a FIDO2/WebAuthn-certified wearable authenticator that delivers phishing-resistant, hardware-bound, biometrically-verified identity - all from a device worn on your finger. We serve regulated enterprises across healthcare, financial services, aerospace & defense, and the federal government.
At Token, hardware and firmware are not supporting functions-together they are the heart of our security story. This role sits at the intersection of electronics, embedded software, cryptography, and manufacturing in a way few engineering roles can offer.
Role Overview
We are looking for a versatile Senior Embedded Software & Hardware Engineer who can own a product end to end-from schematic and PCB layout through firmware, bring-up, testing, and manufacturing. This is a hands-on role for the kind of engineer who designs the board, writes the code that runs on it, and is first to the bench when something doesn't work. You will design and debug both the hardware and the embedded software behind Token's biometric authentication devices, select and qualify components, test pre-production prototypes, run RF and board-level diagnostics, and work directly with manufacturing to get products built and to root-cause failures when they occur.
Responsibilities:
Embedded Software
  • Design, develop, debug, and maintain embedded firmware across the full lifecycle-requirements, architecture, implementation, test, and documentation.
  • Read, understand, and apply component datasheets, reference manuals, and applicable standards (FIDO, JavaCard, and others) in Token designs.
  • Monitor and optimize use of constrained system resources-CPU, memory (RAM/NVRAM), and I/O.
  • Write clean, maintainable, well-documented code and participate in code reviews.
Hardware Design & Development
  • Design schematics and lay out PCBs for new products and revisions of existing ones.
  • Select components and manage the BOM for performance, availability, quality, and cost.
  • Own hardware bring-up and hardware/software integration on new boards.
  • Define hardware and software specifications together to ensure compatibility and performance.
Testing, Debugging & Failure Analysis
  • Test pre-production prototypes and diagnose issues spanning both hardware and software.
  • Perform RF testing and board-level diagnostics using oscilloscopes, logic analyzers, and spectrum analyzers.
  • Troubleshoot hardware faults-bad solder joints, design issues, marginal components-alongside general hardware and software debugging.
  • Lead failure analysis on prototypes, returns, and production defects, persisting until root cause is determined and driving corrective action.
Manufacturing & Collaboration
  • Work directly with manufacturing and contract manufacturers to resolve production issues and improve yield.
  • Ensure component and design decisions produce a high-quality, cost-effective, and manufacturable product.
  • Collaborate across hardware, firmware, cloud, mobile, and manufacturing teams to align on product requirements and goals.
  • Contribute to engineering processes, tooling, and best practices, and embrace AI tools to streamline development, documentation, and testing.
  • Ensure compliance with applicable standards and regulations (e.g., ISO 13485, ISO 9001, FIDO, SOC 2).

Qualifications:
Required
  • Bachelor's degree in electrical engineering, computer engineering, computer science, or a related field.
  • 5+ years in embedded systems development spanning both firmware and hardware.
  • Expertise in C/C++ for resource-constrained embedded systems (Rust a plus).
  • Strong grasp of embedded architecture, microcontroller/microprocessor fundamentals, and real-time operating systems (RTOS).
  • Demonstrated hardware design experience: schematic capture and multilayer PCB layout.
  • Experience with hardware bring-up, board-level diagnostics, and hardware/software integration.
  • Hands-on lab proficiency with oscilloscopes, logic analyzers, and spectrum analyzers, including RF testing.
  • Systematic, relentless debugging and root-cause skills across hardware and software.
  • Experience working with contract manufacturers to resolve production and quality issues.
  • Familiarity with version control (Git), issue tracking (Jira), and agile methodologies.

Preferred
  • Experience with FIDO2/WebAuthn, secure elements, or other cryptographic hardware.
  • RF and wireless design experience (BLE, NFC, antenna design and tuning).
  • Design-for-manufacturing and design-for-test (DFM/DFT) experience.
  • Failure-analysis techniques such as X-ray inspection, cross-sectioning, and thermal imaging.
  • Low-power, battery-powered, or wearable device design.
  • Familiarity with EMC and regulatory compliance (FCC, CE) and certification processes.
  • Experience in regulated industries such as healthcare, financial services, aerospace/defense, or federal.

Why is this role special:
  • Competitive base salary commensurate with experience
  • Equity participation in a growing, mission-driven company
  • Comprehensive health, dental, and vision benefits
  • A hands-on role with dedicated lab and bench access, owning products end to end
  • The rare breadth to take a product from schematic to shipped hardware-and to be the engineer who figures out why it works, and why it sometimes doesn't.
  • The opportunity to build the hardware and firmware that protect some of the most sensitive identities in the world.