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The Deep Jobs in Texas (NOW HIRING)

Nvidia

Senior Deep Learning Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

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 ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

Fugro

Deep Foundation Technician - Land

Houston, TX · On-site

The Deep Foundation Technician is tasked with performing standard observations of pile driving ... operations following preset procedures. This includes visual inspection of pile immediately prior ...

New

Fugro

Deep Foundation Technician - Land

Houston, TX · On-site

The Deep Foundation Technician is tasked with performing standard observations of pile driving ... operations following preset procedures. This includes visual inspection of pile immediately prior ...

New

GPE INC.

Office Assistant

Houston, TX · On-site

$16 - $21/hr

With the deep understanding of customers' businesses and our relentless obsession with performance, we develop innovative real-world solutions that put even the most daunting challenges within reach.

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All JobsThe Deep JobsThe Deep Jobs in Texas

The Deep information

What is The Deep?

'The Deep' is not a standard job title in most industries. It may refer to specific roles within organizations named 'The Deep,' such as The Deep aquarium and visitor attraction in Hull, UK, where jobs could include aquarists, educators, customer service staff, and administrative roles. Alternatively, 'The Deep' might refer to teams or projects with a focus on marine biology, oceanography, or deep-sea exploration. To better understand job opportunities related to 'The Deep,' it's important to know the specific organization or field in question. Researching the company's website or relevant industry resources can provide more details.

What is the difference between The Deep vs Marine Biologist?

AspectThe DeepMarine Biologist
Required CredentialsHigh school diploma or equivalent; specialized training or certifications in diving or underwater technologyBachelor's degree in Marine Biology or related field; advanced degrees often preferred
Work EnvironmentUnderwater exploration, research vessels, underwater facilitiesResearch labs, fieldwork at marine sites, universities
Employer & Industry UsageMarine research organizations, underwater exploration companiesUniversities, research institutions, environmental agencies

The Deep typically involves underwater exploration using specialized equipment and may require certifications in diving or underwater technology. Marine Biologists focus on studying marine life, often working in labs or conducting field research. While both roles are involved in marine environments, The Deep emphasizes exploration and technical skills, whereas Marine Biologists concentrate on biological research and conservation.

What are some common challenges faced by marine biologists working at deep-sea research facilities like The Deep, and how can new team members prepare for them?

Marine biologists at deep-sea research facilities often face unique challenges such as adapting to irregular schedules due to research expeditions, handling specialized equipment for deep-sea exploration, and collaborating closely with multidisciplinary teams, including engineers and data analysts. New team members can prepare by gaining familiarity with submersible technologies, participating in safety and procedural trainings, and developing strong communication skills to coordinate effectively during fieldwork. Embracing flexibility and a commitment to continuous learning are key to thriving in this dynamic and innovative work environment.

What are the key skills and qualifications needed to thrive as a deep learning engineer, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically demonstrated by a relevant degree and experience with neural networks. Familiarity with technical tools such as TensorFlow, PyTorch, and cloud platforms, along with proficiency in Python, is essential. Critical thinking, problem-solving, and effective teamwork are standout soft skills for success in this role. These abilities are crucial for building, optimizing, and deploying advanced AI models that solve complex real-world problems.
What are popular job titles related to The Deep jobs in Texas? For The Deep jobs in Texas, the most frequently searched job titles are:
What job categories do people searching The Deep jobs in Texas look for? The top searched job categories for The Deep jobs in Texas are:
What cities in Texas are hiring for The Deep jobs? Cities in Texas with the most The Deep job openings:
The Deep jobs near you
Infographic showing various The Deep job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution.

Senior Deep Learning Infrastructure Engineer

Nvidia

Austin, TX • On-site

$107K - $146K/yr

Full-time

Posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

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.

NVIDIA is seeking top-tier Senior Deep Learning Infrastructure Engineers. In this role, you will play a crucial part in building the deep learning infrastructure that powers our AI agents for VLSI design, driving innovation and efficiency in chip development. Join us in a dynamic, professional, and growth-oriented environment where your expertise will have a significant impact on the future of technology. If you are passionate about crafting groundbreaking solutions and contributing to a meaningful, technology-focused company, this is your opportunity to shape the next generation of AI-driven chip design.

What you'll be doing:

  • Work towards building applications and developing infrastructure for a highly scalable deep learning platform.

  • Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services.

  • Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products.

  • Be an engineering generalist. Discover and build skills needed at different times towards solving problems at hand.

What we need to see:

  • Bachelor's/Master's degree in computer science, engineering, or related field (or equivalent experience)

  • Minimum 6+ years of experience in services, pipelines, API development and system design.

  • Expertise in Python, JavaScript or another similar programming language

  • Zeal to learn and perform beyond prior experience and expertise.

Ways to stand out from the crowd:

  • Experience in dev-ops, full-stack development, databases and cloud computing.

  • Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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