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Entry Level Deep Learning Jobs in Texas (NOW HIRING)

CompTIA A+ Tutor

Carrollton, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Amarillo, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Mckinney, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

San Marcos, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Allen, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Bryan, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Plano, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Arlington, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

CompTIA A+ Tutor

Irving, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Pearland, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Fort Worth, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

CompTIA A+ Tutor

Mckinney, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of CompTIA A+ examination content covering mobile devices, networking, hardware ...

SIE Tutor

Carrollton, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

El Paso, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

SIE Tutor

San Marcos, TX ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of SIE examination content including knowledge of capital markets, understanding of ...

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Showing results 1-20

Entry Level Deep Learning information

See Texas salary details

$18K

$78.4K

$172.8K

How much do entry level deep learning jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level deep learning in Texas is $78,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,418.00 and $130,595.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Deep Learning professional, and why are they important?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What are some common challenges faced by entry-level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are the most commonly searched types of Deep Learning jobs in Texas? The most popular types of Deep Learning jobs in Texas are:
ASIC Design Verification Engineer - New College Grad 2026

ASIC Design Verification Engineer - New College Grad 2026

Nvidia Corporation

Austin, TX โ€ข On-site

$134.80K - $164.50K/yr

Full-time

Posted 6 days ago


Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.
The NVIDIA System-On-Chip (SOC) group is looking for an entry level ASIC Verification Engineer! In this position you will have the chance to create a high-level and broad impact at NVIDIA working on a system-level IP responsible for measuring performance on multiple projects. Your focus will be on verifying and improving the related verification methodologies for the corresponding design (RTL). For this position, you should have real passion for verification methodologies and implementation that enable high quality system-level IP design and robust verification at multiple environment levels (e.g., unit, sub-system, and SOC).
What you'll be doing:
  • Design and maintain the unit level/sub-system Verification environment.
  • Understand the architecture specifications, develop and carry out the test plan to verify the design.
  • Create the UVM components, sequences, tests and scoreboards.
  • Sign off on the verification efforts with very high quality code and functional coverage.
  • Launch regressions, resolve the issues, and make forward progress towards achieving the DV milestone targets
  • Automate the manual steps involved in launching build, regression, and triages.
  • Collaborate with architects, designers, and software engineers to achieve the project goals.
  • Pro-actively contribute to improving the efficiency of the testbenches by embracing the latest techniques.

What we need to see:
  • Completing an MS or higher in Computer or Electrical Engineering (or equivalent experience).
  • Experience in System Verilog, UVM and in general OOPS based programming.
  • Strong coding skills in Python or other industry-standard scripting languages.
  • Strong understanding of RTL design (Verilog).
  • Good understanding of computer architecture fundamentals.
  • Familiarity with verification tools such as VCS or equivalent simulation tools, and debug tools like Verdi.

With industry-leading salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. The most forward-thinking engineers in the world do their life's work at NVIDIA. If you're creative and autonomous, with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993