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Junior Embedded Engineer Jobs in Texas (NOW HIRING)

METECS

Junior Software Engineer

Houston, TX · On-site

... embedded systems development, including firmware design, microcontroller programming, and real-time operating systems (RTOS). Company : METECS is a small engineering-services company headquartered in ...

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Junior Embedded Engineer information

See Texas salary details

$31.2K

$66.9K

$102K

How much do junior embedded engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior embedded engineer in Texas is $66,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $74,500.00 per year, depending on experience, location, and employer.

What does a junior embedded engineer do?

A Junior Embedded Engineer assists in designing, developing, and testing embedded systems, which are specialized computing systems that perform dedicated functions within larger devices. They typically work with microcontrollers, firmware, and hardware interfaces, often writing code in languages like C or C++. Junior engineers collaborate with senior engineers and cross-functional teams to troubleshoot issues, support product development, and improve system performance. Their role is crucial in industries like automotive, consumer electronics, and IoT, where embedded systems are widely used.

Are embedded engineers in demand?

Embedded engineers are in high demand due to the growth of IoT devices, automotive systems, and consumer electronics. Skills in C/C++, real-time operating systems, and hardware integration increase employability in this field.

What are the key skills and qualifications needed to thrive as a junior embedded engineer?

To thrive as a Junior Embedded Engineer, you need a solid understanding of C/C++ programming, basic electronics, and embedded systems concepts, usually backed by a degree in electrical engineering, computer engineering, or a related field. Familiarity with microcontrollers, hardware debugging tools (like oscilloscopes and logic analyzers), and version control systems such as Git is typically required. Strong problem-solving abilities, teamwork, and effective communication help you adapt to project requirements and collaborate with cross-functional teams. These skills ensure you can develop reliable embedded solutions, troubleshoot issues efficiently, and contribute effectively to engineering projects.

What are common challenges a junior embedded engineer faces when transitioning from academic projects to real-world embedded systems development?

Junior Embedded Engineers often find that real-world projects involve working with complex hardware constraints, strict deadlines, and cross-functional teams. Unlike academic projects, embedded systems in industry must meet rigorous reliability, safety, and performance standards, often with limited documentation. Adapting to debugging hardware issues, integrating with legacy code, and collaborating closely with hardware engineers and senior developers can be challenging but also provides valuable learning opportunities. Embracing a proactive approach to problem-solving and seeking mentorship within the team can greatly ease this transition.
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Junior Embedded Engineer jobs near you
Infographic showing various Junior Embedded Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $66,892 per year, or $32.2 per hour.

Computer Vision & Machine Learning, Junior

Allen Control Systems

Austin, TX • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous technologies. The Junior Computer Vision & Machine Learning role involves optimizing algorithms for drone detection and collaborating with engineers to integrate systems into hardware.
Responsibilities:
• Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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