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The Deep Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/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

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 ...

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 · 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 ...

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 ...

Lee Kum Kee

Deep Reach Forklift Driver

La Puente, CA · On-site

$17.25 - $20.25/hr

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

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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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.
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What cities are hiring for The Deep jobs?

Cities with the most The Deep job openings:

What states have the most The Deep jobs?

States with the most job openings for The Deep jobs include:

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

The top searched job categories for The Deep jobs are:

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.

Engineering Manager, Deep Learning Inference

Nvidia

Santa Clara, CA • Hybrid

Full-time

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 is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today's most sophisticated AI systems - from large language models to multimodal generative AI - all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible - including SGLang, vLLM, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.

What you'll be doing:

  • Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

  • Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering.

  • Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.

  • Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.

  • Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).

  • Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA's broader AI and software strategies.

  • Foster a culture of technical excellence, open collaboration, and continuous innovation.

What we need to see:

  • MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.

  • 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.

  • Strong background in C/C++ software design and development; proficiency in Python is a plus.

  • Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.

  • Proven record of deploying or optimizing deep learning models in production environments.

  • Experience leading teams using Agile or collaborative software development practices.

Ways to Stand out from The Crowd:

  • Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM, SGLang, Triton, or TensorRT-LLM.

  • Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.

  • Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.

  • Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.

  • Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, our rapid growth means endless opportunities for career advancement.

If you're a passionate technical leader ready to shape the future of AI inference frameworks - and build the software that powers the world's most advanced models - we'd love to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 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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