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Embedded Ai Engineer Jobs in Indiana (NOW HIRING)

Arrive AI

Electrical Engineer - Firmware

Fishers, IN · On-site

At Arrive AI (Nasdaq: ARAI), we're not just building products--we're transforming the future of the ... Our embedded stack is written in Rust . Prior Rust experience is welcome but not required -- see ...

Arrive AI Inc

Electrical Engineer - Firmware

Fishers, IN · On-site

Arrive AI is now growing and investing to scale an ALM network and platform of the future for all ... Our embedded stack is written in Rust . Prior Rust experience is welcome but not required - see the ...

Nucor

AI Solutions Engineer

Crawfordsville, IN · On-site

Embedded with our divisions, this high-visibility role combines strong engineering skills, systems ... Familiarity with AI concepts such as prompt engineering, model evaluation, or agentbased workflows.

Allegion

AI Solutions Engineer

Carmel, IN · On-site

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Embedded with teams throughout the business, this role learns their processes firsthand, translates ...

Allegion

AI Solutions Engineer

Carmel, IN

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Embedded with teams throughout the business, this role learns their processes firsthand, translates ...

Autodesk

$84K - $111K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will strengthen our FinOps culture through shared accountability and transparency. You will build self ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Indiana

Embedded Ai Engineer information

See Indiana salary details

$66.6K

$146K

$165.6K

How much do embedded ai engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for embedded ai engineer in Indiana is $145,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $164,600.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Indiana?

For Embedded Ai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Indiana look for?

The top searched job categories for Embedded Ai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Embedded Ai Engineer jobs?

Cities in Indiana with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $145,954 per year, or $70.2 per hour.

Senior Embedded Software Engineer (Systems & Architecture)

Lincoln Electric

Michigan City, IN

$115K - $165K/yr

Full-time

PTO

Re-posted 24 days ago

Lincoln Electric rating

7.4

Company rating: 7.4 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

290th of 495 rated machine equipment manufacturers

Job description

Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. Lincoln Electric's innovative solutions enable higher quality and productivity across a variety of processes including welding, cutting, brazing, machining, process automation, and field repair. The Company leverages proprietary technologies and expertise in materials science, power electronics, automation, and intelligent software to help customers build better and achieve resilience in their operations. Headquartered in Cleveland, Ohio, Lincoln Electric is the essential 'Linc' that keeps the economy running. The Company operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries. For more information about Lincoln Electric and its products and services, visit the Company's website at https://www.lincolnelectric.com.

Location: Michigan City-North 
Employment Status: Salary Full-Time 
Function: Engineering 
Pay Range: $115,597.96 - $165,139.94
Target Bonus: 10%

About

We're looking for a Senior Embedded Software Engineer to drive software architecture across a diverse portfolio of embedded and connected products. This role blends system-level design, hands-on development with real hardware, and technical leadership within a growing engineering organization.

You'll work across software, firmware, and physical systems-shaping architecture, solving complex field issues, and mentoring engineers-while helping scale engineering practices and product quality.

This role includes limited travel (~4 weeks/year) for on-site development, troubleshooting, and industry events.

What You'll Do

Architecture & Technical Leadership

  • Lead evolution of software architecture across embedded and connected systems
  • Balance near-term delivery with long-term scalability, maintainability, and reliability
  • Drive design reviews, technical standards, and cross-team architectural alignment

Hands-On Development & System Debugging

  • Design, build, and debug software for embedded controllers, industrial systems, and HMIs
  • Work directly with hardware, including custom embedded systems and industrial controllers
  • Diagnose complex system-level issues spanning software, firmware, hardware, and real-world conditions

Testing & Quality Engineering

  • Elevate automated testing practices across teams
  • Design unit and integration testing strategies for embedded and application layers
  • Lead development of automated test systems to improve coverage, reliability, and release velocity

Mentorship & Engineering Culture

  • Mentor engineers through code reviews, pairing, and technical coaching
  • Promote strong engineering fundamentals and pragmatic problem-solving
  • Help build a culture of ownership, collaboration, and continuous improvement

Cross-Functional Collaboration

  • Contribute as a senior member of a Scrum team spanning multiple product lines
  • Partner with hardware, firmware, systems, and application engineers
  • Manage competing priorities and context switching while maintaining high standards

AI & Engineering Productivity

  • Help define and implement responsible use of AI in engineering workflows and products
  • Establish practical use cases, guardrails, and best practices
Technical Environment

You'll work across a wide range of embedded and connected technologies, including:

Embedded & Distributed Systems

  • CAN networks (J1939, CANopen, RV-C)
  • Ethernet-based communication
  • Cellular, Bluetooth, and remote diagnostics

Software & Platforms

  • Embedded C, Python
  • Mobile (iOS/Android), web interfaces, cloud systems, OTA updates

Control & Power Systems

  • Motor control (BLDC, PMAC)
  • Battery management systems (BMS)
  • Power conversion (DC-DC, AC-DC, inverters up to 50 kW)

Vehicle & Industrial Integration

  • Engine control, HVAC, PTO systems
  • Hydraulic, welding, and air compressor systems
What You Bring
  • Strong experience in embedded software development (C/C++ and/or Python)
  • Experience with microcontrollers (e.g., STM, PIC) and low-level systems
  • Background in system-level debugging across hardware and software
  • Experience designing automated testing systems (embedded or hardware-integrated)
  • Familiarity with MATLAB/Simulink for modeling or control systems
  • Experience with industrial controllers or PLC-like systems (nice to have)
  • Exposure to functional safety (SIL, ASIL) is a plus

Mindset:

  • Systems thinker who enjoys working across hardware and software
  • Pragmatic problem-solver comfortable with ambiguity
  • Strong communicator and collaborator
  • Invested in mentoring and growing others
Why This Role Stands Out
  • Work on real-world machines, not just software
  • Influence architecture, testing strategy, and engineering culture
  • Balance hands-on problem solving with long-term system design
  • Help shape how AI is responsibly integrated into engineering workflows

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

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