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Ai Hardware Engineer Jobs in Indiana (NOW HIRING)

Protingent

Systems Engineer - Radar Test

Crane, IN · On-site

Leading and conducting various kinds of testing including hardware-in-the-loop (HWIL), Software-in ... AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a ...

TMS International LLC

Software Engineer

Hammond, IN · On-site

... hardware-related issues in industrial environments • Develop and maintain database-driven ... AI applications related to scrap recognition and process optimization Candidates with strong object ...

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All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Indiana

Ai Hardware Engineer information

See Indiana salary details

$48.5K

$139.1K

$187K

How much do ai hardware engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai hardware engineer in Indiana is $139,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $155,100.00 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 Indiana? For Ai Hardware Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Hardware Engineer jobs in Indiana look for? The top searched job categories for Ai Hardware Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Hardware Engineer jobs? Cities in Indiana with the most Ai Hardware Engineer job openings:
Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Indiana as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $139,147 per year, or $66.9 per hour.

Senior Principal Systems Lead Engineer

General Dynamics Mission Systems, Inc

Fort Wayne, IN

Full-time

Posted 24 days ago

General Dynamics Mission Systems rating

7.9

Company rating: 7.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

128th of 242 rated software companies

Job description

Education Requirements:

Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 10 years of relevant experience; or Master's degree, plus a minimum of 8 years of relevant experience.

Clearance Requirements:
Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.


Required Qualifications

  • Bachelor's in a STEM field and 10+ years of systems engineering experience; or Master's + 8 years.
  • Demonstrated systems engineering leadership on complex, multi-disciplinary defense programs—requirements decomposition, system architecture, interface definition, and driving delivery from design through field demonstration.
  • System-of-Systems integration experience spanning autonomy, RF communications, unmanned vehicles, munitions, sensors, and C2 software.
  • Hands-on prototype development leadership—managing build schedules and driving teams through iterative build-test-learn cycles.
  • Hardware/software integration experience including board-level integration, embedded software deployment, and firmware/software version management.
  • Proficiency with MBSE tools (SysML, Cameo/MagicDraw, or equivalent) for requirements capture, architecture modeling, and ICD generation.
  • Experience authoring ICDs, SSS, System Development Plans, CONOPS documentation, and CDRLs for DoD programs.
  • Ability to lead cross-functional, multi-vendor engineering teams with strong written and verbal communication skills.
  • Active DoD Secret security clearance; U.S. citizenship required.
  • Willingness to travel up to 25% (event-driven: demonstrations, customer reviews, integration events) is REQUIRED

Preferred Qualifications

  • Prior experience on munitions, counter-obstacle, or related DoD programs.
  • Autonomous systems experience—UGVs, navigation, perception, and human-machine teaming.
  • RF communications systems experience—SDR, mesh networking, anti-jam, and BLOS integration.
  • Familiarity with AI/ML inference on embedded edge platforms (NVIDIA Jetson/CUDA/TensorRT).
  • Munitions and fuzing systems knowledge—warhead integration, safe-and-arm devices, fire control, and fuze safety (MIL-STD-1316).
  • Experience with MIL-STD-810, MIL-STD-461, MIL-STD-882E, and related military standards.
  • Embedded Linux, Jetson/GPU platforms, and real-time embedded software experience.
  • Familiarity with TAK ecosystem, Cursor on Target (CoT) protocols, and battle management system integration.
  • Cybersecurity compliance experience—RMF, NIST SP 800-53, DISA STIGs.
  • Reliability & Maintainability engineering—R&M predictions, FRACAS, FMEA/FMECA.
  • Human-Centered Design (HCD) experience—wireframing, user interface design, operator interaction analysis.
  • Use of Artificial Intelligence (AI) tools in the creation of systems engineering artifacts.

Tools & Environment

  • Cameo/MagicDraw (MBSE), Confluence, Jira, Python, MATLAB/Simulink, Git, Creo/SolidWorks (CAD review), AWS, WinTAK/GeoSuite, lab instrumentation (oscilloscopes, spectrum analyzers, logic analyzers).

Key Responsibilities

  • Technical Leadership: Lead a multi-discipline engineering team through technical, program, and customer meetings. Guide junior engineers, drive integration and test execution, coordinate with subcontractor teams, and remove blockers to maintain schedule momentum.
  • Systems Engineering Lifecycle: Own requirements analysis, system architecture, interface definition, CDRL development, prototype build, integration execution, and customer deliverables across a System-of-Systems encompassing autonomous vehicles, munitions, RF communications, and C2 software.
  • Requirements Management: Decompose, trace, and validate system requirements. Manage customer and derived requirements across all subsystems with bidirectional traceability from requirements through design and verification evidence.
  • System Architecture & MBSE: Develop and maintain a model-based system architecture covering functional, logical, and physical decomposition. Define system interfaces and ensure traceability from requirements through design solutions.
  • Prototype Development: Lead design, fabrication, and iterative build of system and subsystem prototypes. Coordinate hardware procurement, manage lab standup, and drive build-test-learn cycles to rapidly mature system capabilities.
  • Hardware/Software Integration: Oversee HW/SW implementation across all subsystems. Review and approve design decisions, manage firmware/software version baselines, and resolve interface issues during integration.
  • ICD & Technical Documentation: Lead Interface Control Document development for all internal and external interfaces. Author System Development Plans, System/Subsystem Specifications, and Monthly Technical Reports meeting DI-series data item descriptions.
  • Safety & Cybersecurity: Support system safety analysis (FHA, hazard identification, risk assessment) per MIL-STD-882E and review board activities. Contribute to RMF cybersecurity compliance and System Security Plan development.
  • Integration & Test: Drive test case development, procedure reviews, and hands-on integration activities. Lead Problem Review Boards, resolve test discrepancies, and drive knowledge point demonstrations and customer acceptance testing.

Workplace Options:
This position is fully onsite, remote or Hybrid/Flex based on candidate qualifications.
While on-site, you will be a part of the Ft Wayne, Indiana team. 

#LI-JH1


This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
USD $174,203.00 - USD $183,730.00 /Yr.

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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