ZipRecruiter

Log In

1

Nlp Developer Jobs in California (NOW HIRING)

BEPC INC

Be Seen First

NLP Scientist

South San Francisco, CA · On-site

$75.23 - $83.23/hr

Strong Python production engineering with modern natural language processing frameworks. * Demonstrated work in evidence-grounded NLP: hybrid retrieval, natural-language inference and entailment ...

previous pagenext page

Showing results 21-40

All JobsNlp Developer JobsNlp Developer Jobs in California

Nlp Developer information

See California salary details

$16

$52

$80

How much do nlp developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for nlp developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What does an NLP developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

What are the key skills and qualifications needed to thrive as an NLP developer?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.

What are some common challenges faced by NLP developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.

What are popular job titles related to Nlp Developer jobs in California?

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

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

The top searched job categories for Nlp Developer jobs in California are:

What cities in California are hiring for Nlp Developer jobs?

Cities in California with the most Nlp Developer job openings:

Nlp Developer jobs near you
Infographic showing various Nlp Developer job openings in California as of August 2026, with employment types broken down into 79% Full Time, 8% Part Time, and 13% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $108,466 per year, or $52.1 per hour.

Senior Software QA Test Development Engineer - Diagnostics

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 24 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 is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the 'AI Computing Company', and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.

What you'll be doing:

  • Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.

  • Installing and testing various systems OS, server firmware and SW stack.

  • Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.

  • Build, develop/debug server and OS level automation front-end and back-end framework and tests

  • Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.

  • Work in an agile software development team with very high production quality standards.

  • Manage bug lifecycle and collaborate with inter-groups to drive for solutions.

What we need to see:

  • Bachelor's Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field

  • 5+ years proven experience; or master's degree.

  • Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript

  • Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc...) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.

  • Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc...), NLP and LLM benchmarking

  • Experience in using AI development tools for test plans creation, test cases development and test cases automation

  • Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus

  • Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) - huge plus

Ways to stand out from the crowd:

  • AI related tools, LLM and NLP.

  • Experience working with NVIDIA GPU hardware is a strong plus.

  • Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)

  • Background in parallel programming ideally CUDA/OpenCL is a plus

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 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

View All Nvidia Jobs

Apply