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Deepseek Jobs in California (NOW HIRING)

Knowledge of how to leverage OpenAI, DeepSeek, Zapier, SQL, and automation tools to move fast. Minimal engineering skills required, but strong understanding of how to prototype and build within ...

AI Deployment Strategist

San Mateo, CA · On-site

$140 - $190/hr

Bonus: experience with inference optimization, model serving infrastructure, or open‑source model ecosystems (Llama, Mixtral, DeepSeek, etc.) Why Fireworks? * Solve Hard Problems: Tackle challenges ...

New

Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines. * Standards: Model ...

Showing results 21-40

Deepseek information

What is a deepseek engineer?

Deepseek engineers are professionals who specialize in developing and implementing advanced artificial intelligence (AI) and machine learning solutions, often focusing on natural language processing and search technologies. They typically work for Deepseek, a company known for its work in large language models and AI-driven search capabilities. Their responsibilities include designing, training, and optimizing AI models, as well as integrating these solutions into products and services. Deepseek engineers often collaborate with data scientists and product teams to ensure the technology meets user needs and industry standards.

What are the key skills and qualifications needed to thrive as a deepseek engineer?

To thrive as a Deep Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with neural networks. Proficiency in Python, TensorFlow, PyTorch, and familiarity with cloud computing platforms and GPU acceleration is typically required. Strong problem-solving skills, creativity, and effective communication help you design novel models and collaborate with multidisciplinary teams. These skills enable the development and deployment of advanced AI solutions that drive innovation and real-world impact.

What are the typical collaboration patterns for deepseek engineers, and how do they work with cross-functional teams?

Deep Learning Research Engineers at Deepseek frequently collaborate with data scientists, software engineers, and product managers to develop and optimize machine learning models. They participate in regular team meetings to align on project goals, share research findings, and integrate new algorithms into production systems. Effective communication is crucial, as these engineers often translate complex research concepts into actionable tasks for engineering teams. This collaborative environment fosters innovation and ensures that research outcomes can be successfully deployed within real-world applications.

What is the difference between Deepseek vs Data Analyst?

AspectDeepseekData Analyst
Required CredentialsTypically requires a background in computer science, data science, or related fields; certifications in data analysis or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial
Work EnvironmentPrimarily technical, involving data processing, algorithm development, and machine learning model trainingPrimarily analytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageUsed in tech companies, AI firms, and research institutions focusing on machine learning and AI solutionsUsed across various industries including finance, marketing, healthcare, and consulting for data-driven decision making

Deepseek focuses on developing AI and machine learning models, requiring technical expertise in algorithms and programming. Data Analysts interpret and visualize data to support business decisions. While both roles work with data, Deepseek is more technical and research-oriented, whereas Data Analysts focus on insights and reporting.

What cities in California are hiring for Deepseek jobs?

Cities in California with the most Deepseek job openings:

Infographic showing various Deepseek job openings in California as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Deep Learning Architect, LLM Inference

Nvidia

Santa Clara, CA • On-site

$79 - $105.75/hr

Full-time

Posted 22 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

We are now looking for a Senior Deep Learning Architect, LLM Inference. NVIDIA is at the forefront of the generative AI revolution. The Inference Benchmarking (IB) team specifically focuses on inference server performance optimization for Large Language Models (LLMs).

If you're passionate about pushing the boundaries of GPU hardware and software performance and understand terms like disaggregated serving, data parallel attention, MoE, Qwen3.5, DeepSeek, GPT-OSS, then this is a great role for you. What you'll be doing: You will do workload characterization of the latest LLMs and inference servers like vLLM, SGLang and TRT-LLM to ensure NVIDIA maintains its leadership position. Join forces with the performance marketing team to build engaging content, including blog posts and updates to InferenceX to highlight NVIDIA's outstanding inference achievements

Collaborate with engineers from AI startup companies to establish standard benchmarking methodologies. Develop a constantly evolving inference performance data results website. Invent E2E profiling and analysis tools that you will use to keep up with the rapid pace of Generative AI.

Contribute to deep learning software projects, such as PyTorch, TRT-LLM, vLLM, and SGLang to drive advancements in the field. Verify that new GPU product launches produce industry leading performance. Collaborate across the company to guide the direction of inference serving, working with software, research, and product teams to ensure best-in-class performance.

Use the latest coding agents and inference technology to improve team efficiency. What we need to see: Master's or PhD degree in Computer Science, Computer Engineering, related fields, or equivalent experience. 6+ years of relevant software development experience.

Detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations. Experience developing client server LLM applications with OpenAI API or MCP and identifying performance bottlenecks. Solid understanding of CPU and GPU microarchitecture and performance characteristics.

Experience with complex software projects like frameworks, compilers, or operating systems. Demonstrated proficiency with the latest AI coding agents like Claude Code, Codex, and Cursor Excellent written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment. Ways to stand out from the crowd: Demonstrate a drive to continuously improve software and hardware performance.

Showcase examples of novel use cases for agentic AI tools in the workplace. Experience with databases and visualization tools will set you apart. NVIDIA is widely considered to be one of the technology world's most desirable employers.

We have a team of highly skilled and motivated individuals who excel in their work. If you have a proactive and independent approach, 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 15, 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