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Entry Level Embedded Software Engineer Robotics Jobs in Houston, TX

Cimarron

Software Test Engineer

Houston, TX · On-site

$125K - $200K/yr

Posting/External Job Title Software Test Engineer Location Houston, TX 77058 US (Primary) Remote ... Comfortable with common embedded communication protocols such as UART, SPI, I2C, USB, RS-232/422 ...

METECS

General Engineering

Houston, TX · On-site

METECS is an engineering and applied technology company that provides high-fidelity simulation and ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

GMV

Full Stack Software Engineer - Remote

Houston, TX · On-site +1

... space robotics among many others. You will be part of our team, full of talent and desire to ... Software design and development * Algorithm development * Fluent in English (C1 or higher)

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All JobsEmbedded Software Engineer Robotics JobsEntry Level Embedded Software Engineer Robotics JobsEntry Level Embedded Software Engineer Robotics Jobs in Houston, TX

Entry Level Embedded Software Engineer Robotics information

See Houston, TX salary details

$66.8K

$146.5K

$166.2K

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

As of Jul 9, 2026, the average yearly pay for entry level embedded software engineer robotics in Houston, TX is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $165,200.00 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, and why are they important?

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.

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Entry Level Embedded Software Engineer Robotics jobs near you
Engineer -AI/ML -Time Series & Robotics

Engineer -AI/ML -Time Series & Robotics

MICROVAST INC

Houston, TX • On-site

Full-time

Posted 26 days ago

Job description

AI/ML Engineer – Time Series & Robotics

Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Stafford, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com

If you’re ready to be part of a company that’s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation.

Role Summary

The AI / ML Engineer will develop and deploy machine learning algorithms that analyze multi-sensor time-series data from vehicles and robotic platforms. This position focuses on building robust models that improve system performance, monitoring, and intelligent behavior, working closely with robotics, controls, and embedded teams.

Key Responsibilities
  • Design and implement ML models for time-series sensor data (e.g., currents, torques, IMUs, joint states, vehicle signals, cameras, GPS).
  • Build and maintain data pipelines for collection, preprocessing, feature extraction, and labeling.
  • Prototype algorithms in Python (e.g., PyTorch, TensorFlow) and collaborate with embedded engineers to create deployable, resource-efficient models.
  • Create production level models using C++ to improve efficiency in runtime and resource use from the Python prototype
  • Evaluate model performance using appropriate metrics; iterate to improve robustness and generalization across platforms and use cases.
  • Work with robotics and vehicle engineers to understand requirements and convert them into concrete ML problems and model specifications.
  • Support data visualization, dashboards, and tools for internal users to interpret model outputs and system behavior.
  • Document models, experiments, datasets, and results to ensure reproducibility and traceability.
Required Qualifications
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  • Experience with embedded / edge AI or model compression and optimization techniques.
  • Hands-on experience with machine learning for time-series or sensor data.
  • Strong proficiency in C++ and ML frameworks.

Experience working with real-world noisy data (e.g., automotive, robotics, industrial, IoT).

  • Familiarity with data science tools and workflows (NumPy, Pandas, Jupyter, etc.).
  • Ability to work in a cross-functional team and communicate technical concepts clearly.
Preferred Qualifications
  • Familiarity with control systems, robotics, or vehicle dynamics.
  • Experience with MLOps tools (experiment tracking, model versioning, CI/CD for ML).
  • Experience with ROS or other multimodal sensor data frameworks
  • Prior work in a product or R&D environment with multi-disciplinary teams.

Expected Compensation

Annual salary + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Microvast is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws. Microvast is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Privacy is a top priority for Microvast. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Privacy Policy - Microvast.