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Machine Language Jobs in Texas (NOW HIRING)

Senior R&D Software Developer

Boerne, TX · On-site

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Senior R&D Software Developer

Boerne, TX

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Senior R&D Software Developer

Boerne, TX · On-site

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Field Technician I

Pasadena, TX

$18 - $24.75/hr

Program various CNC machines based on machine language. Maintain safe and clean working environment by complying with procedures, rules, and regulations. Maintains equipment by completing preventive ...

Field Technician I

Pasadena, TX · On-site

$18 - $24.75/hr

... based on machine language. • Maintain safe and clean working environment by complying with procedures, rules, and regulations. • Maintains equipment by completing preventive maintenance ...

Prior experience or familiarity with SCADA systems and machine language is a plus * Strong understanding of construction site practices, procedures, and safety protocols * Excellent written and ...

Prior experience or familiarity with SCADA systems and machine language is a plus * Strong understanding of construction site practices, procedures, and safety protocols * Excellent written and ...

Prior experience or familiarity with SCADA systems and machine language is a plus * Strong understanding of construction site practices, procedures, and safety protocols * Excellent written and ...

Machine Operator

Dallas, TX · On-site

$15.25 - $18/hr

Machine Operator SUMMARY Responsible for all activities associated with safely operating production ... LANGUAGE SKILLS Able to read and follow instructions; quality, safety, job packets MATHEMATICAL ...

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS ...

Machine Operator

Dallas, TX · On-site

$15.25 - $18/hr

Machine Operator SUMMARY Responsible for all activities associated with safely operating production ... LANGUAGE SKILLS Able to read and follow instructions; quality, safety, job packets MATHEMATICAL ...

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Machine Language information

See Texas salary details

$8

$36

$69

How much do machine language jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for machine language in Texas is $36.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.85 and $51.37 per hour, depending on experience, location, and employer.

What is the difference between Machine Language vs Data Scientist?

AspectMachine LanguageData Scientist
Required CredentialsNone specific; basic programming knowledgeBachelor's or higher in CS, statistics, or related fields
Work EnvironmentLow-level programming, embedded systems, hardware interactionData analysis, modeling, visualization in offices or labs
Industry UsageSoftware development, embedded systems, hardware programmingTech, finance, healthcare, marketing

Machine Language involves low-level programming directly with binary instructions, primarily used for hardware interaction. Data Scientists analyze data to extract insights, often using high-level languages like Python or R. While both roles require programming skills, Machine Language focuses on hardware-level coding, whereas Data Scientists work with data analysis and modeling.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong programming knowledge can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and leadership roles within organizations.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools, as well as certifications in data science or machine learning, are highly valuable. Problem-solving skills, curiosity, and effective collaboration are crucial soft skills for innovating and working in multidisciplinary teams. These abilities are essential to design, implement, and optimize models that drive data-driven decision-making and business success.

What are some common challenges faced by professionals working with machine learning models, and how can they be addressed?

Professionals in machine learning often encounter challenges such as managing large and complex datasets, addressing data quality issues, and preventing model overfitting. Collaborating effectively with data engineers and domain experts can help ensure data relevance and accuracy. Additionally, staying updated with the latest research and best practices is important for optimizing model performance and adapting to evolving business needs. Regular code reviews and model validation are key practices that help maintain high-quality, reliable machine learning solutions.

Can I learn ML in 3 months?

Machine Learning (ML) is a complex field that typically requires several months to years of study to gain proficiency, especially for roles involving data analysis, model development, and deployment. While intensive bootcamps or self-study can provide foundational knowledge in 3 months, becoming job-ready usually involves ongoing learning, practical projects, and familiarity with tools like Python, TensorFlow, or scikit-learn.

What is machine language and what does a machine language programmer do?

Machine language is the lowest-level programming language, consisting of binary code that computers can directly execute. A machine language programmer writes instructions in this binary code to control computer hardware at the most fundamental level. This job often involves optimizing code for performance and working closely with computer architecture. Machine language programming is rare today, as higher-level languages are more commonly used, but it remains crucial for certain applications like embedded systems and hardware drivers.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

Is ML a high paying job?

Machine learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and company size, but experienced ML engineers often earn above average salaries compared to other tech roles.
Infographic showing various Machine Language job openings in Texas as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, 7% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $76,337 per year, or $36.7 per hour.
Senior R&D Software Developer

Senior R&D Software Developer

Mannapov, LLC

Boerne, TX • On-site

$51.25 - $67.75/hr

Full-time

Posted 1 hour ago


Job description

Job Type
Full-time
Description
Position Title: Senior R&D (Research and Development) Software Developer
Classification: Exempt
Reports to: Sr. R&D Engineer
We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The successful candidate will play a crucial role in our research and development efforts, working on cutting-edge projects to develop software solutions that interface with hardware components. The ideal candidate should have a deep understanding of low-level programming, strong technical skills, and a passion for innovation.
Responsibilities:
  • Design, develop, and optimize software solutions that interface with hardware components, leveraging low-level C, C#, and machine language.
  • Collaborate with hardware engineers and other cross-functional teams to define software requirements and specifications.
  • Conduct research and feasibility studies to explore innovative solutions and technologies.
  • Develop and maintain software libraries, drivers, and APIs for hardware integration.
  • Perform code analysis and debugging to identify and resolve performance and compatibility issues. Conduct performance profiling and optimization of software and hardware systems.
  • Stay up-to-date with emerging technologies and industry trends related to low-level programming and hardware engineering.
  • Provide technical guidance and support to junior developers and project teams.
  • Participate in design reviews and contribute to architectural decisions.

Qualifications:
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
  • At least 5 years of experience as a software developer, with a focus on low-level programming and hardware engineering.
  • Strong proficiency in low-level C programming, C#, and machine language.
  • Experience in hardware engineering, including knowledge of electronic components, circuit design, and schematic analysis.
  • Proficient in software-hardware interface development, such as writing device drivers and firmware.
  • Solid understanding of computer architecture and embedded systems.
  • Experience with debugging tools and techniques for hardware and software troubleshooting.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and in a team environment.
  • Must be able to read, write and speak English

Preferred Qualifications:
  • Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
  • Experience with real-time operating systems (RTOS) and embedded software development.
  • Familiarity with FPGA programming and digital signal processing.
  • Knowledge of hardware description languages (HDL) such as Verilog or VHDL.
  • Experience with agile development methodologies and version control systems.
  • Strong documentation and technical writing skills.

Supervisory Responsibility As required.
Work Environment This job operates in a professional office environment and routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
While performing the duties of this job, the employee is regularly required to talk or hear.
The employee frequently is required to stand; walk; use hands and fingers and reach with hands and arms.This job requires the employee to lift at least 15 lbs. infrequently.
Position Type/Expected Hours of Work Occasional evening and weekend work may be required as job duties demand.
Travel Some out of area travel and overnight may be expected.
Work Authorization Must be authorized to work in the United States.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Mannapov LLC provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Further, the company takes affirmative action to ensure that applicants are employed, and employees are treated during employment without regard to any of these characteristics. Discrimination of any type will not be tolerated.