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Pattern Grader Jobs in California (NOW HIRING)

Factory

Software Engineer, Frontend

San Francisco, CA · On-site

Innovate on novel AI-native human-computer interaction patterns and build the future of interfaces ... grade web application with React or similar framework. This is an in-office position (5 days/week ...

Ontrac Solutions

Principal AI Engineer

San Francisco, CA · On-site

$100 - $120/hr

Key Responsibilities GenAI Architecture & Production Readiness Own and define enterprise-grade ... Establish reference architectures, reusable patterns, and best practices to accelerate responsible ...

Clera

Forward Deployed Engineer

San Francisco, CA · On-site

$150K - $250K/yr

It's a rare opportunity to set engineering patterns from the ground up at a company doing genuinely ... Experience building production-grade, distributed, or agentic systems - not just prototypes.

Ontrac Solutions

Principal AI Engineer

San Francisco, CA

$100 - $120/hr

Key ResponsibilitiesGenAI Architecture & Production Readiness Own and define enterprise-grade GenAI ... Establish reference architectures, reusable patterns, and best practices to accelerate responsible ...

Sierracorp

Forward Deployed Engineer

San Francisco, CA · On-site

$125 - $150/hr

Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade ... Identify repeatable field patterns and friction points in the AI stack, converting them into ...

FreedomPay

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... grade software. Responsibilities : • Jump into an empowered role doing end-to-end feature ... patterns and opinionated about product development process. • Pitch in to help when things are ...

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All JobsPattern Grader JobsPattern Grader Jobs in California

Pattern Grader information

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$9

$16

$30

How much do pattern grader jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for pattern grader in California is $16.86, according to ZipRecruiter salary data. Most workers in this role earn between $11.39 and $19.90 per hour, depending on experience, location, and employer.

What is a pattern grader?

Pattern Graders are professionals in the fashion and garment industry who take a designer's original clothing pattern and create a range of sizes from it. They use specialized software or manual techniques to adjust the dimensions of a pattern so that it can be used to produce garments in various sizes while maintaining the intended fit and style. Pattern Graders play a crucial role in ensuring consistency and accuracy in mass garment production, working closely with pattern makers and designers to translate designs into scalable patterns.

What are some common challenges pattern graders face when working with complex garment designs?

Pattern Graders often encounter challenges when translating intricate garment designs into different sizes while maintaining the intended fit and proportions. Complex styles with unique seam lines, drapes, or embellishments require careful analysis and precise grading techniques to avoid distorting the designer's vision. Collaboration with pattern makers and designers is essential to clarify design intent and to troubleshoot any issues that arise during the grading process. Staying up-to-date with digital grading software can also help streamline the workflow and reduce errors.

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

To thrive as a Pattern Grader, you need a solid understanding of garment construction, math skills, and experience in pattern making, often gained through vocational training or a fashion-related degree. Familiarity with CAD software, pattern grading systems, and digital measuring tools is typically required. Attention to detail, precision, and effective communication with designers and production teams are crucial soft skills in this role. These competencies ensure accurate scaling of patterns for multiple sizes, leading to efficient production and high-quality, well-fitting garments.

How much does a pattern grader make?

A pattern grader typically earns between $25,000 and $50,000 annually, depending on experience, location, and the complexity of the garments. Entry-level pattern graders may start at lower wages, while experienced professionals with advanced skills can earn higher salaries. The role often requires knowledge of pattern-making software and attention to detail.

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Pattern Grader jobs near you
Infographic showing various Pattern Grader job openings in California as of August 2026, with employment types broken down into 63% Full Time, 31% Part Time, 5% Contract, and 1% Nights. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $35,069 per year, or $16.9 per hour.

Lead Principal Engineer, Enterprise Agentic AI Platform

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 13 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

Join NVIDIA IT's Enterprise AI & Automation team to develop and expand enterprise-grade agentic AI systems at one of the world's most advanced AI companies. NVIDIA's Enterprise AI Platform drives production AI agents that securely link with enterprise systems to boost employee efficiency and accelerate business results across engineering, IT, supply chain, finance, HR, and sales. We need a Principal or Distinguished Engineer-level architect who defines systems through direct construction. This role calls for a deeply involved technical leader writing code daily in Python and/or Go. They quickly develop prototypes using modern code-generation tools like Cursor, Claude Code, and Claude Cowork. The candidate must grasp infrastructure aspects from Kubernetes to GPU inference stacks and translate new agent development patterns into scalable platform capabilities. You will build NVIDIA's enterprise agent architecture by delivering functional systems, developing reference implementations, and elevating the technical standards across the organization. This is not a strategy-only or governance-only role. Architecture authority is earned through production systems, measurable impact, and technical depth.
If you prosper in unclear environments, rapidly move from concepts to operational systems, and view the full agent development process-create, sandbox, launch, observe, control, and continuously enhance using data-driven cycles-this position lets you define enterprise-grade agentic AI at NVIDIA scale. You will invent systems that incorporate persistent memory, controlled runtime environments, strict assessment, and GPU-powered performance, ensuring agents are intelligent, trackable, protected, and production-ready from day one.
What You Will Be Doing:
  • Develop and deliver production-quality agentic AI systems from start to finish using Python and/or Go, covering Kubernetes deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines.
  • Define and advance NVIDIA's Enterprise Agentic AI architecture through practical implementations, reference systems, and production deployments-not abstract diagrams.
  • Build and implement multi-agent orchestration patterns (planner, executor, reviewer, tool agents) using frameworks such as LangChain, LangGraph, or similar orchestration systems, with strong regression coverage and observability.
  • Run fast, high-quality POCs on emerging agent architectures; harden successful patterns into reusable platform services, APIs, SDKs, and developer templates.
  • Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
  • Embed security, guardrails, sandbox isolation, auditability, and policy enforcement directly into agent runtimes in partnership with security and governance teams.
  • Evaluate, integrate, and extend open-source and third-party agent platforms; drive disciplined build-vs-use decisions based on performance, scalability, control, and long-term platform ownership.
  • Collaborate closely with engineering, infrastructure, product, and business collaborators to align architectural direction with enterprise priorities and accelerate adoption.

What We Need to See:
  • Bachelor's degree in Computer Science or related field or equivalent experience; Master's or PhD preferred.
  • 15+ years of experience building and shipping large-scale distributed systems with significant hands-on coding in Python, Go, or similar systems languages.
  • Proven skill in quickly transitioning from an idea to a functional prototype and then to a robust, scalable platform solution.
  • Proven track record in constructing agentic AI systems, including RAG pipelines, long-lasting memory models, multi-agent management (e.g., LangChain, LangGraph), tool frameworks, and evaluation infrastructure.
  • Expert-level depth in Kubernetes, containerized workloads, networking, APIs, and secure enterprise integration patterns.
  • Experience crafting benchmarking, regression testing, telemetry, and observability systems that measure agent quality, latency, cost, reliability, and safety.
  • Comprehensive knowledge of performance tuning in hybrid environments, including GPU-based inference systems.
  • Excellent collaboration skills with the ability to influence cross-functional collaborators, build positive relationships, and clearly communicate complex architectural concepts to both technical and business audiences.

Ways to Stand Out from the Crowd:
  • Proven experience delivering reusable developer-acceleration components such as SDKs, APIs, templates, reference implementations, and CI/CD automation.
  • Experience integrating enterprise vector databases and retrieval systems, and working with agentic search and orchestration platforms such as Glean, Microsoft Copilot Studio, Google Agentspace, or similar enterprise AI ecosystems.
  • Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails directly into AI runtimes.
  • GPU-acceleration approach with experience optimizing model inference, batching strategies, memory utilization, and efficiency on NVIDIA hardware.
  • Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth.

NVIDIA is widely recognized as one of the technology world's most sought-after employers. We have some of the most forward-thinking and creative people in the world working here. If you are driven by impact, passionate about enterprise AI, and encouraged to develop the blueprint of agentic AI at scale, we want to hear from you. Apply today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 2, 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

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

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