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Ai Hardware Engineer Jobs in Indiana (NOW HIRING)

Visit ixana.ai for demos of high-speed data streaming through skin contact: What You'll Do * Lead ... PCB‑level hardware familiarity or embedded Linux experience * Experience building and shipping ...

New

Senior Software Engineer

Crane, IN · On-site

$122K - $161K/yr

Collaborate cross-functionally with engineering teams to integrate software with hardware ... Knowledge of computer vision, machine learning, or AI algorithms for autonomous systems.

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 ...

Senior Software Engineer

Crane, IN · On-site

$122K - $161K/yr

Collaborate cross-functionally with engineering teams to integrate software with hardware ... Knowledge of computer vision, machine learning, or AI algorithms for autonomous systems.

Software Engineer

Hammond, IN · On-site

$70 - $90/hr

Troubleshoot software, communication, and hardware-related issues in industrial environments ... Machine Learning / AI applications related to scrap recognition and process optimization Candidates ...

The AI and Infrastructure team is redefining what's possible. We empower Google customers with ... From software to hardware our teams are shaping the future of world-leading hyperscale computing ...

Showing results 41-60

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 Sep 4, 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 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.

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 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 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.

What is the salary of AI hardware engineer?

The salary of an AI hardware engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in FPGA, ASIC design, or deep learning hardware may earn higher compensation. Many positions also require knowledge of hardware description languages and experience with AI accelerators.

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:

Infographic showing various Ai Hardware Engineer job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $139,147 per year, or $66.9 per hour.

Autonomous Systems Technical Lead (Sr. Principal Systems Engineer)

V2X

Indianapolis, IN • On-site

Full-time

Re-posted 13 days ago


V2X rating

9.0

Company rating: 9.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

52nd of 452 rated engineering


Job description

Overview

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.

V2X is seeking an Autonomous Systems Technical Lead with a passion for autonomous vehicle system integration and test to join our Systems Engineering team in Indianapolis, IN. This position involves creating advanced autonomous technologies as part of a fast moving, cross functional team. You’ll work closely with partners inside and outside the organization to design and deliver innovative solutions for autonomous vehicles in a variety of operational environments.


Responsibilities

The ideal candidate embraces modern development processes and techniques that improve product quality & team productivity and has experience developing and integrating advanced systems including situational awareness displays, mission computers, avionics, sensors, mission equipment, and radar systems.  We are looking for engineers that enjoy a challenge and have a passion to support our DoD customers and international allies.

The Autonomous Systems Technical Lead provides technical and programmatic leadership throughout the development life cycle, from concept development, requirements definition, functional analysis, design review support, system implementation, integration, verification, and validation.  The Autonomous Systems Technical Lead will work within a cross-functional Integrated Product Team (IPT), where strong communication and team building skills are critical to success.


Qualifications

Required Skills:

  • At least fifteen (15) years of related engineering experience in systems, software, or hardware engineering.
  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance.
  • Direct responsibility of unmanned ground vehicle (UGV) or autonomous systems design, development, integration, and testing.
  • Demonstrated expertise developing requirements, performing system architecture, and leading hands-on test and integration activities for autonomous or robotics platforms.
  • Experience implementing advanced autonomy algorithms, perception sensor integration (e.g., LIDAR, radar, computer vision), or drive-by-wire subsystems for military or commercial autonomous vehicles.
  • Experience implementing and validating functional safety standards (ex. MIL-STD-882) and supporting cybersecurity risk assessments for vehicle autonomy.
  • Experience providing leadership, technical direction, and guidance to large multi-discipline teams.
  • Experience leading all systems engineering tasks and cross-product activities across the program.
  • Experience leading the development, integration and test of military avionics systems or similarly complex systems.
  • Previous experience as a Lead Systems Engineer, Verification Lead, Integrated Product Team Lead, and/or Product Owner.
  • Experience managing suppliers and overseeing the development of subsystems and components. 
  • Ability to take ownership of the engineering scope within the program and drive the necessary tasks to ultimately ensure the cross-function team meets the technical
    requirements.
  • Strong communication skills and ability to effectively communicate to internal and external stakeholders including leading both internal and customer design reviews.
  • In-depth understanding of the System Engineering Lifecycle and processes.
  • Experience leading Trade Studies, performing Risk and Opportunity analyses, and tracking and mitigating risks.
  • Direct experience working with government customers including the US Army, US Navy, USMC and/or USAF.
  • Experience mentoring engineers of all grade levels.
  • Experience planning, executing and leading integration, verification and validation tasks and cross-product activities across the program.

Desired Skills:

  • Experience with machine learning frameworks and AI integration in autonomous systems
  • Experience with Agile development
  • Experience using standard data languages and tools (C/C++, Python, etc.)
  • Knowledge and experience working with digital data standards such as: MIL-STD-1553, MIL-STD-1760, Universal Armament Interface (UAI), Radio Frequency (RF) communication, and ENET protocols.
  • Experience working the front end of the business, creating/reviewing RFPs, SOWs, BOEs, technical volumes, proposals, cost, and schedule estimates.
  • Project management experience including cost, schedule, supplier management, risk, and opportunity assessment.

Education Requirements:

  • Bachelor’s Degree in Engineering or related STEM discipline.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

#LI-WH1
#Clearance

Qualifications:

Required Skills:

  • At least fifteen (15) years of related engineering experience in systems, software, or hardware engineering.
  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance.
  • Direct responsibility of unmanned ground vehicle (UGV) or autonomous systems design, development, integration, and testing.
  • Demonstrated expertise developing requirements, performing system architecture, and leading hands-on test and integration activities for autonomous or robotics platforms.
  • Experience implementing advanced autonomy algorithms, perception sensor integration (e.g., LIDAR, radar, computer vision), or drive-by-wire subsystems for military or commercial autonomous vehicles.
  • Experience implementing and validating functional safety standards (ex. MIL-STD-882) and supporting cybersecurity risk assessments for vehicle autonomy.
  • Experience providing leadership, technical direction, and guidance to large multi-discipline teams.
  • Experience leading all systems engineering tasks and cross-product activities across the program.
  • Experience leading the development, integration and test of military avionics systems or similarly complex systems.
  • Previous experience as a Lead Systems Engineer, Verification Lead, Integrated Product Team Lead, and/or Product Owner.
  • Experience managing suppliers and overseeing the development of subsystems and components. 
  • Ability to take ownership of the engineering scope within the program and drive the necessary tasks to ultimately ensure the cross-function team meets the technical
    requirements.
  • Strong communication skills and ability to effectively communicate to internal and external stakeholders including leading both internal and customer design reviews.
  • In-depth understanding of the System Engineering Lifecycle and processes.
  • Experience leading Trade Studies, performing Risk and Opportunity analyses, and tracking and mitigating risks.
  • Direct experience working with government customers including the US Army, US Navy, USMC and/or USAF.
  • Experience mentoring engineers of all grade levels.
  • Experience planning, executing and leading integration, verification and validation tasks and cross-product activities across the program.

Desired Skills:

  • Experience with machine learning frameworks and AI integration in autonomous systems
  • Experience with Agile development
  • Experience using standard data languages and tools (C/C++, Python, etc.)
  • Knowledge and experience working with digital data standards such as: MIL-STD-1553, MIL-STD-1760, Universal Armament Interface (UAI), Radio Frequency (RF) communication, and ENET protocols.
  • Experience working the front end of the business, creating/reviewing RFPs, SOWs, BOEs, technical volumes, proposals, cost, and schedule estimates.
  • Project management experience including cost, schedule, supplier management, risk, and opportunity assessment.

Education Requirements:

  • Bachelor’s Degree in Engineering or related STEM discipline.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

#LI-WH1
#Clearance

Education:UNAVAILABLEEmployment Type: FULL_TIME

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


V2X logo

About V2X

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1945