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The Deep Jobs in Missouri (NOW HIRING)

No one ever meets 100% of the qualifications. PROMO's team engages in hard work and heart work and ... PROMO's paid Deep Canvassers are responsible for advancing the organization's mission and vision by ...

By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition ...

By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition ...

The ideal candidate will bring both analytical rigor and empathy to the role, understanding not only how to grow a multi-market business efficiently but also how to maintain the deep trust and ...

By combining personalized one-on-one training with wearable technology that sends electrical impulses into the deep tissue of your body's muscles - the way your brain does - BODY20 ® helps every ...

By combining personalized one-on-one training with wearable technology that sends electrical impulses into the deep tissue of your body's muscles - the way your brain does - BODY20 ® helps every ...

By combining personalized one-on-one training with wearable technology that sends electrical impulses into the deep tissue of your body's muscles - the way your brain does - BODY20 ® helps every ...

By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition ...

By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition ...

HR

Saint Louis, MO · On-site

$65K - $70K/yr

Louis Metro area and in the deep Northeast, adjacent to the Ports of New Jersey/New York. Likewise, our combined business models have purposefully focused on providing third party warehousing ...

HR

Saint Louis, MO · On-site

$25 - $30/hr

Louis Metro area and in the deep Northeast, adjacent to the Ports of New Jersey/New York. Likewise, our combined business models have purposefully focused on providing third party warehousing ...

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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 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 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 popular job titles related to The Deep jobs in Missouri?

For The Deep jobs in Missouri, the most frequently searched job titles are:

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

The top searched job categories for The Deep jobs in Missouri are:

What cities in Missouri are hiring for The Deep jobs?

Cities in Missouri with the most The Deep job openings:

Senior Deep Learning Software Engineer, Inference

NVIDIA Gruppe

California, MO • On-site

$152 - $288/hr

Other

Posted 6 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models.

You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins-inclusive CUTLASS, OAI Triton, NCCL, and CUDA kernels to implement and optimize model serving pipelines.

What you'll be doing:
  • Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.
  • Scale performance of DL models across different architectures and types of NVIDIA accelerators.
  • Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions.
  • Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions.
What we need to see:
  • Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).
  • 5+ years of relevant software development experience.
  • You’ll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.
  • Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.
  • Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.
  • GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus.
Ways to Stand out from The Crowd
  • Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field.
  • Experience with Multi GPU Communications (NCCL, NVSHMEM)

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, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 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.

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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