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Entry Level Embedded Software Engineer Robotics Jobs in Orlando, FL

Holley Performance

Engineering Technician

Sanford, FL · On-site

Collaborate directly with firmware, calibration, software, and engineering teams during development and pre-release validation of embedded tuning platforms and vehicle support expansions. * Support ...

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All JobsEmbedded Software Engineer Robotics JobsEntry Level Embedded Software Engineer Robotics JobsEntry Level Embedded Software Engineer Robotics Jobs in Orlando, FL

Entry Level Embedded Software Engineer Robotics information

See Orlando, FL salary details

$65.3K

$143.2K

$162.4K

How much do entry level embedded software engineer robotics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level embedded software engineer robotics in Orlando, FL is $143,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $161,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by entry level embedded software engineers in robotics, and how can they best prepare for them?

Entry-level embedded software engineers in robotics often encounter challenges such as debugging hardware-software interactions, working with limited system resources, and adapting to rapidly evolving project requirements. To navigate these, it's helpful to develop a strong understanding of embedded C/C++ programming, become familiar with hardware debugging tools, and practice effective communication within multidisciplinary teams. Proactively seeking mentorship and participating in code reviews can also accelerate learning and help you adapt quickly to the fast-paced robotics environment.

What are the key skills and qualifications needed to thrive as an entry level embedded software engineer in robotics?

To thrive as an Entry Level Embedded Software Engineer in Robotics, you need a solid understanding of C/C++ programming, microcontroller architectures, and a relevant engineering degree (such as Electrical, Computer, or Robotics Engineering). Familiarity with real-time operating systems (RTOS), debugging tools, and version control systems like Git is typically expected. Strong problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this role. These competencies ensure reliable software development, efficient teamwork, and the successful integration of software with robotic hardware.

What does an entry level embedded software engineer in robotics do?

An Entry Level Embedded Software Engineer in Robotics is responsible for designing, developing, and testing software that runs on embedded systems within robotic devices. They work closely with hardware engineers to ensure seamless integration between software and hardware components. Typical tasks include writing code in languages like C or C++, debugging, performing hardware-software integration, and supporting the development of real-time control systems. Their work is crucial for enabling robots to perform tasks autonomously and efficiently.

What is the difference between Entry Level Embedded Software Engineer Robotics vs Entry Level Firmware Engineer?

AspectEntry Level Embedded Software Engineer RoboticsEntry Level Firmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related field; knowledge of robotics systemsBachelor's in Electrical, Computer Engineering, or related field; experience with embedded systems
Work EnvironmentRobotics labs, manufacturing, research facilitiesConsumer electronics, automotive, industrial devices
Employer & Industry UsageRobotics companies, automation firms, research institutionsElectronics manufacturers, automotive, IoT companies
Common Search & ComparisonYesYes

Entry Level Embedded Software Engineer Robotics focuses on developing software for robotic systems, integrating sensors and actuators. Entry Level Firmware Engineer develops low-level software for embedded devices across various industries. While both roles require similar technical skills and educational backgrounds, their application environments and specific focus areas differ.

What are the most commonly searched types of Embedded Software Engineer Robotics jobs in Orlando, FL?

The most popular types of Embedded Software Engineer Robotics jobs in Orlando, FL are:

What are popular job titles related to Entry Level Embedded Software Engineer Robotics jobs in Orlando, FL?

For Entry Level Embedded Software Engineer Robotics jobs in Orlando, FL, the most frequently searched job titles are:

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The top searched job categories for Entry Level Embedded Software Engineer Robotics jobs in Orlando, FL are:

Entry Level Embedded Software Engineer Robotics jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orlando, FL • On-site

Other

Re-posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply