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Senior Embedded Machine Learning Jobs in Indiana

V2X

Senior Embedded Firmware Engineer

Indianapolis, IN · On-site

$98K - $134K/yr

V2X is seeking a talented Senior Embedded Firmware Engineer (T03) to join our Embedded Solutions ... learning. This position is ideal for motivated early-career engineers seeking to expand their ...

V2X

Senior Embedded Firmware Engineer

Indianapolis, IN

$98K - $134K/yr

V2X is seeking a talented Senior Embedded Firmware Engineer (T03) to join our Embedded Solutions ... learning. This position is ideal for motivated early-career engineers seeking to expand their ...

V2X

Senior Embedded Firmware Engineer (T03)

Indianapolis, IN · On-site

$98K - $134K/yr

V2X is seeking a talented Senior Embedded Firmware Engineer (T03) to join our Embedded Solutions ... learning. This position is ideal for motivated early-career engineers seeking to expand their ...

V2X

Senior Embedded Firmware Engineer (T03)

Indianapolis, IN · On-site

$98K - $134K/yr

V2X is seeking a talented Senior Embedded Firmware Engineer (T03) to join our Embedded Solutions ... learning. This position is ideal for motivated early-career engineers seeking to expand their ...

Apex Systems

Embedded Software Engineer - ADV

Indianapolis, IN · On-site

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3046097 Senior Embedded Wireless Firmware Engineer Location: Onsite, Monday-Friday (9:00 AM ... State-machine design * Event-driven systems * Hardware abstraction layers * Git workflows * CI/CD ...

Matrix Design Group

Senior Embedded Firmware Engineer

Newburgh, IN · On-site

$97K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Senior Embedded Firmware Engineer. The Embedded Firmware Engineer will ... large moving machinery. * Customer operations may contain airborne particles and allergens.

Matrix Design Group

Senior Embedded Firmware Engineer

Newburgh, IN · On-site

$97K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Senior Embedded Firmware Engineer. The Embedded Firmware Engineer will ... large moving machinery. * Customer operations may contain airborne particles and allergens.

Matrix Design Group

Senior Embedded Firmware Engineer

Newburgh, IN · On-site

$97K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a Senior Embedded Firmware Engineer. The Embedded Firmware Engineer will ... large moving machinery. * Customer operations may contain airborne particles and allergens.

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Senior Embedded Machine Learning information

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are the most commonly searched types of Embedded Machine Learning jobs in Indiana?

The most popular types of Embedded Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Senior Embedded Machine Learning jobs?

Cities in Indiana with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Senior Embedded Firmware Engineer

V2X

Indianapolis, IN • On-site

$98K - $134K/yr

Full-time

Posted 8 days ago

V2X rating

8.9

Company rating: 8.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

54th of 449 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 a talented Senior Embedded Firmware Engineer (T03) to join our Embedded Solutions team within the Engineering Solutions organization. Embedded Solutions is a cross-disciplinary core function dedicated to the design, development, and integration of secure, high-performance embedded systems that enable mission-critical defense and aerospace applications.
Responsibilities
V2X is seeking a talented Senior Embedded Firmware Engineer (T03) to join our Embedded Solutions team within the Engineering Solutions organization. Embedded Solutions is a cross-disciplinary core function dedicated to the design, development, and integration of secure, high-performance embedded systems that enable mission-critical defense and aerospace applications.
In this role, you will play a key part in the full lifecycle development of advanced embedded solutions based on modern microcontrollers and real-time operating systems. You will work collaboratively with experienced engineers in a multidisciplinary, matrixed environment emphasizing technical rigor, collaboration, and continuous learning. This position is ideal for motivated early-career engineers seeking to expand their impact across microcontroller-based design, real-time software, and hardware-software integration.
Key Responsibilities
  • Design, implement, and validate embedded firmware/software solutions using C (and Python), targeting ARM Cortex or similar microcontroller-based architectures.
  • Develop and integrate peripheral interfaces and device drivers for serial, Ethernet, SPI, I²C, motor control, and other real-time I/O.
  • Support hardware bring-up, board-level verification, and troubleshooting, using oscilloscopes, logic analyzers, and related lab tools in collaboration with electrical and systems engineers.
  • Integrate and optimize real-time applications using RTOS or bare-metal techniques, ensuring responsiveness and reliability in constrained environments.
  • Contribute to system-level validation and test automation to ensure robust, reliable performance and compliance with requirements.
  • Prepare and maintain clear technical documentation including design records, integration notes, code comments, and user instructions in accordance with V2X processes.
  • Participate in Agile development teams-collaborate via MS Teams, Azure DevOps, and shared digital environments to deliver disciplined, high-quality engineering outcomes.
  • Engage in peer code and design reviews, share lessons learned, and support continuous improvement in product quality, safety, and engineering practice. Maintain a strong focus on disciplined execution, safety, quality, and compliance with industry standards and secure development practices

Qualifications
Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.
Approximately 5-8 years professional experience developing embedded firmware or software for microcontroller- or ARM Cortex-based systems (hands-on academic, internship, or professional work considered).
Proficient in C (and/or C++) for real-time embedded system development; familiarity with version control and configuration management tools (e.g., Git, Azure DevOps).
Experience with lab-based troubleshooting, board bring-up, and using oscilloscopes/logic analyzers for hardware/software integration.
Ability to develop and validate peripheral/device drivers and work at the interface of hardware and software.
Effective communication skills, strong team orientation, and commitment to continuous technical growth.
U.S. citizenship required.
Security Clearance and Other Requirements
Ability to access systems with information restricted to U.S. citizens as required by federal contract guidelines.
Eligibility to obtain and maintain a U.S. Department of Defense (DoD) security clearance may be required for certain projects.
Preferred Qualifications
Familiarity with real-time operating systems (RTOS) such as FreeRTOS, or experience in bare-metal scheduling for embedded applications.
Exposure to scripting for test automation or tooling-Python preferred.
Knowledge of secure coding standards and industry regulations (MISRA C, DO-178C, ISO 26262, etc.).
Experience collaborating in Agile or SCRUM-based development teams.
Practical awareness of networked communications in embedded systems (Ethernet, TCP/IP, etc.).

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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