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Nim Jobs in California (NOW HIRING)

Nvidia

Senior SWQA Test Development Engineer

Santa Clara, CA · On-site

$129K - $168K/yr

Our technologies power the most advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, productiongrade AI deployment across cloud and ...

Nvidia

Senior SWQA Test Development Engineer

Santa Clara, CA · On-site

$129K - $168K/yr

Our technologies power the most advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, productiongrade AI deployment across cloud and ...

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How much do nim jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for nim in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 per hour, depending on experience, location, and employer.

What is a Nim?

A Nim job typically refers to a role involving development with the Nim programming language, which is known for its performance, expressiveness, and efficient compilation to C. Nim developers often work on system programming, web development, or game development projects. Responsibilities may include writing and optimizing code, debugging, and contributing to open-source projects.

What are the key skills and qualifications needed to thrive as a Nim programmer?

To thrive as a Nim Programmer, you need strong knowledge of Nim's syntax, programming paradigms, and computer science fundamentals, often backed by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, package managers (nimble), and build tools is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills for collaborating and debugging in development teams. These skills ensure high-quality, efficient code and successful project delivery in competitive software environments.

What are some common challenges faced by Nim developers when working on large-scale projects?

Nim developers working on large-scale projects often encounter challenges such as managing dependencies, ensuring cross-platform compatibility, and maintaining code readability as the codebase grows. Since Nim is a relatively young language, tooling and library support may not be as mature as in more established languages, which can require extra effort to implement certain features. Effective collaboration within teams also hinges on establishing clear coding standards and documentation practices to facilitate onboarding and maintainability.

What is the difference between Nim vs Data Analyst?

AspectNimData Analyst
Required CredentialsTypically a background in computer science or programming, often with certifications in Nim or related languagesBachelor's degree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentPrimarily in software development, programming, or tech companiesIn offices, research firms, or any industry analyzing data for insights
Employer & Industry UsageUsed by developers for software projects, especially in performance-critical applicationsEmployed by businesses across industries to interpret data and inform decisions

While Nim is a programming language used mainly in software development, Data Analysts focus on interpreting data to support business decisions. Nim developers write code for applications, whereas Data Analysts analyze datasets to generate insights. Both roles require analytical skills, but their work environments and primary tasks differ significantly.

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

The most popular types of Nim jobs in California are:

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

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

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

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

Nim jobs near you
Infographic showing various Nim job openings in California as of August 2026, with employment types broken down into 5% As Needed, 76% Full Time, 5% Part Time, and 14% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

Solutions Architect, Inference Deployments

Nvidia

Santa Clara, CA

$74 - $97.50/hr

Full-time

Re-posted 23 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're forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA's GPU technology and Kubernetes. As a Solutions Architect focused on inference, you'll collaborate closely with our engineering, DevOps, and customers to develop enterprise AI solutions. Together, we'll deliver generative AI to production.

What you'll be doing: Build inference pipelines with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency. Collaborate with DevOps teams to orchestrate disaggregated inference using Kubernetes for complex workloads. Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference.

Provide mentorship and technical leadership to customers and internal teams, guiding them through the deployment of disaggregated inference systems and resolving complex issues. What we need to see: 5+ Years in Solutions Architecture with a proven track record of deploying distributed systems and AI inference workloads on Kubernetes. Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving.

GPU orchestration using NVIDIA GPU Operator, NIM Operator, and Multi-Instance GPU (MIG) partitioning. Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). Demonstrated success in tuning large language models for low-latency inference in enterprise environments.

BS in CS/Engineering or equivalent experience. Ways to stand out from the crowd: Prior experience deploying NVIDIA inference technologies such as Dynamo, NIM, NIXL and Grove. Deep understanding of transformer neural network, and inference acceleration technologies like quantization, speculative decoding, WideEP etc.

NVIDIA Certified AI Engineer or similar credentials. Contributions to open-source projects including NVIDIA Dynamo, vLLM, KServe, or SGLang. 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 April 19, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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

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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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