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The Deep Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/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 ...

LEE KUM KEE

Deep Reach Forklift Driver

La Puente, CA · On-site

$21/hr

  • Medical

  • Dental

  • Life

  • Retirement

ABOUT THE COMPANY  Founded in 1888, Lee Kum Kee, a Hong Kong-based global food company ... the deep reach forklift operator must be able to operate electrical power industrial truck or ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$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 ...

Factset

Director, Deep Sector Power & Utilities

Austin, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role The Director, Deep Sector Power & Utilities will play a pivotal role in shaping the strategic direction of FactSet's Energy content offerings, providing global, multi-office leadership ...

Dietz & Watson

Deep Fry | 1st, 2nd & 3rd Shifts

Baltimore, MD · On-site

$12.50 - $17/hr

... the Deep Fry Machine for cooking • Removes meat products from racks and places products on prep table • Removes cooked product from outlet end of conveyor belt of Deep Fry Machine and also loads ...

Fugro

Deep Foundation Technician - Land

Houston, TX

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 ...

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 ...

Seneca

Senior Deep Learning Engineer (Perception)

Sausalito, CA · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The Job: We are seeking an exceptional and highly motivated Deep Learning Engineer to join our fast-moving and innovative team. In this role, you will leverage your expertise to research, develop ...

Factset

Director, Deep Sector Power & Utilities

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role The Director, Deep Sector Power & Utilities will play a pivotal role in shaping the strategic direction of FactSet's Energy content offerings, providing global, multi-office leadership ...

Factset

Director, Deep Sector Power & Utilities

New York, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role The Director, Deep Sector Power & Utilities will play a pivotal role in shaping the strategic direction of FactSet's Energy content offerings, providing global, multi-office leadership ...

Lee Kum Kee

Deep Reach Forklift Driver

La Puente, CA · On-site

$17.25 - $20.25/hr

  • Medical

  • Dental

  • Life

  • Retirement

ABOUT THE COMPANY Founded in 1888, Lee Kum Kee, a Hong Kong-based global food company, specializes ... the deep reach forklift operator must be able to operate electrical power industrial truck or ...

Lee Kum Kee

Deep Reach Forklift Driver

Flushing, NY · On-site

$17.75 - $20.75/hr

  • Medical

  • Dental

  • Life

  • Retirement

With more than 200 products to choose from, Lee Kum Kee takes the mystery out of cooking authentic ... the deep reach forklift operator must be able to operate electrical power industrial truck or ...

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Showing results 41-60

All JobsThe Deep Jobs

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.
More about The Deep jobs

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What states have the most The Deep jobs?

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What job categories do people searching The Deep jobs look for?

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The Deep jobs near you
Infographic showing various The Deep job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution.

Senior Deep Learning Compiler Engineer

Nvidia

Redmond, WA

$117K - $160K/yr

Full-time

Re-posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world

We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.

  • Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.

  • GPU kernel generation with high performance and fast build time.

  • A track record of success in mentoring junior engineers and interns is a bonus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 4, 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.#deeplearning

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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