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Nemo Jobs in California (NOW HIRING)

Nvidia

Senior Deep Learning Algorithm Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Megatron Core and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM) and Multimodal (MM) foundation model ...

Jobtailor

Lead Generative AI Analyst

San Francisco, CA · On-site

$180 - $230/hr

Lead technical and writing teams to deliver NEMO products. Act as the liaison between customers, DataFactory teams, product teams, and research teams. Track annotator metrics to ensure top-quality ...

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How much do nemo jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for nemo in California is $40.76, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $41.88 per hour, depending on experience, location, and employer.

What is a Nemo?

Nemo jobs typically refer to positions at companies or organizations named 'Nemo,' which could range from technology firms to marine research institutions. The specific responsibilities and requirements of Nemo jobs will depend on the industry and role, such as software engineering, project management, or marine biology. If you are interested in a Nemo job, it's important to review the organization's website or job postings for detailed descriptions. These roles may offer opportunities to work in innovative environments or contribute to scientific research, depending on the company's focus. Researching the specific Nemo organization will provide the most accurate information about available positions.

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

Nemo is not a recognized real-world professional occupation, so specific skills and qualifications do not apply.

What is the difference between Nemo vs Data Analyst?

AspectNemoData Analyst
Required CredentialsBachelor's in Marine Biology or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentMarine research, fieldwork, laboratoriesOffice settings, data centers, research institutions
Industry UsageMarine biology, environmental agenciesBusiness, finance, healthcare, tech

While Nemo is a fictional character often associated with marine environments, a Data Analyst works with data to identify trends and support decision-making across various industries. Both roles require analytical skills, but their work settings and credentials differ significantly.

What are the most commonly searched types of Nemo jobs in California?

The most popular types of Nemo jobs in California are:

What are popular job titles related to Nemo jobs in California?

For Nemo jobs in California, the most frequently searched job titles are:

What job categories do people searching Nemo jobs in California look for?

The top searched job categories for Nemo jobs in California are:

Nemo jobs near you
Infographic showing various Nemo job openings in California as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $84,771 per year, or $40.8 per hour.

Senior Deep Learning Algorithm Engineer

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidia Corporationexternal

$143K - $189K/yr

Full-time

Posted 21 days ago

Job description

NVIDIA is looking for engineers for our core AI Frameworks (Megatron Core and NeMo Framework) team to design, develop and optimize diverse real world workloads. Megatron Core and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM) and Multimodal (MM) foundation model pretraining and post-training. Our GenAI Frameworks provide end-to-end model training, including pretraining, reasoning, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience.
In this critical role, you will expand Megatron Core and NeMo Framework's capabilities, enabling users to develop, train, and optimize models by designing and implementing the latest in distributed training algorithms, model parallel paradigms, model optimizations, defining robust APIs, meticulously analyzing and tuning performance, and expanding our toolkits and libraries to be more comprehensive and coherent. You will collaborate with internal partners, users, and members of the open source community to analyze, design, and implement highly optimized solutions.
What you'll be doing:
  • Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing
  • Contribute and advance open source NeMo-RL, Megatron Core, NeMo Framework
  • Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment.
  • Work at the intersection of compter-architecture, libraries, frameworks, AI applications and the entire software stack.
  • Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms.
  • Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures.
  • Research, prototype, and develop robust and scalable AI tools and pipelines.

What we need to see:
  • MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields.
  • 5+ years of industry experience.
  • Experience with AI Frameworks (e.g. PyTorch, JAX, Ray), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang).
  • Proficient in Python programming, software design, debugging, performance analysis, test design and documentation.
  • Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations.
  • Strong understanding of AI/Deep-Learning fundamentals and their practical applications.

Ways to stand out from the crowd:
  • Hands-on experience in large-scale AI training, with a deep understanding of core compute system concepts (such as latency/throughput bottlenecks, pipelining, and multiprocessing) and demonstrated excellence in related performance analysis and tuning.
  • Prior experience with Reinforcement Learning algorithms and compute patterns
  • Expertise in distributed computing, model parallelism, and mixed precision training
  • Prior experience with Generative AI techniques applied to LLM and Multi-Modal learning (Text, Image, and Video).
  • Knowledge of GPU/CPU architecture and related numerical software.

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 18, 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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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

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