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Live In 3D Rigging Jobs in San Jose, CA (NOW HIRING)

Snowflake

Brand Motion Graphics Designer

Menlo Park, CA · On-site

$150K - $196K/yr

Partner with Video Editors to weave motion design into live-action footage, ensuring that graphics ... Demonstrate proficiency in 3D software (e.g., Cinema 4D or Blender) to create 3D graphics and ...

Navigate AI

AI Engineer

San Francisco, CA · On-site

$90 - $120/hr

... live in the real world--not just the lab. You'll work directly with the founding team to bring ... Have experience working with video data , multi-view camera inputs , or 3D point clouds * Have ...

Kairos Power

Senior Mill-Turn Machinist

Alameda, CA · On-site

$25 - $33.25/hr

Experience in rigging, material movement and setup of large machined parts and supporting lift ... Experience with live centers or steady rests on long parts a plus. * Experience with Okuma Multus ...

Meta

Surfacing Designer

Burlingame, CA

$118K/yr

... Engineers and will live in millions of homes.You have a in-depth sense of manufacturing ... Create and update 3D CAD surfaces and solid bodies to assist the product development process and ...

Specter

Mechanical Engineer

San Francisco, CA · On-site

Demonstrated experience designing tightly integrated products that live in harsh, outdoor ... Solidworks preferred (our current 3d software). * ANSYS Multiphysics simulation. * Familiarity with ...

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Live In 3D Rigging information

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$16

$30

$42

How much do live in 3d rigging jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for live in 3d rigging in San Jose, CA is $30.49, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $34.95 per hour, depending on experience, location, and employer.

What is live in 3D rigging?

Live in 3D rigging refers to the real-time setup and manipulation of digital skeletons (rigs) for 3D models, often for use in live performances, virtual production, or interactive environments. Rigging artists create and adjust the internal structures that allow 3D characters or objects to move in a realistic way, enabling animators or performers to control them on the fly. This process is crucial for live applications such as virtual concerts, motion capture streaming, and interactive broadcasting, where immediate feedback and flexibility are essential.

What are the key skills and qualifications needed to thrive as a live in 3D rigging artist, and why are they important?

To thrive as a Live In 3D Rigging Artist, you need a solid understanding of anatomy, kinematics, and 3D modeling, typically supported by a degree in animation, computer graphics, or a related field. Proficiency with software such as Autodesk Maya, Blender, and scripting languages like Python or MEL is essential, along with experience using rigging plugins and real-time engines. Strong problem-solving, communication, and collaboration skills help set candidates apart in team-based production environments. These skills ensure the creation of flexible, efficient rigs that enable animators to bring characters and objects to life in high-quality productions.

What are some common challenges faced by live in 3D rigging professionals when working on character setups for real-time applications?

Live In 3D Rigging professionals often encounter challenges related to balancing the complexity of character rigs with real-time performance constraints. Ensuring that rigs are both flexible for animators and optimized for game engines or live broadcast environments requires careful planning and close collaboration with modelers and animators. Additionally, adapting rigs to work seamlessly across various platforms and dealing with frequent iteration cycles can be demanding. Effective communication and a solid understanding of both artistic and technical requirements are key to overcoming these challenges.

How to become a live in 3D rigging?

To become a live-in 3D rigger, develop strong skills in 3D modeling, rigging, and animation using software like Maya or Blender. Gain experience through relevant projects or a portfolio, and consider pursuing a degree or certification in animation, computer graphics, or a related field. Familiarity with character setup, skinning, and real-time environments is essential for this role.

What are the most commonly searched types of 3D Rigging jobs in San Jose, CA?

The most popular types of 3D Rigging jobs in San Jose, CA are:

What are popular job titles related to Live In 3D Rigging jobs in San Jose, CA?

For Live In 3D Rigging jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Live In 3D Rigging jobs in San Jose, CA look for?

The top searched job categories for Live In 3D Rigging jobs in San Jose, CA are:

Live In 3D Rigging jobs near you

Staff AI Engineer - SimAI Team

General Motors

Sunnyvale, CA • On-site, Remote

$189K - $290K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 307 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,302 frontline employees who took The Breakroom Quiz

Job description

Job Description

As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly supportsimulationworkflows, internal tools, and mission-critical engineering use cases. You willoperateat the full spectrum of innovation-from early exploration and rapid prototyping to shipping robust, maintainable production systems.

You will collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value -then deliver solutions that meet clear customer and business success criteria.

We are looking for aStaff AI Engineerwitha strong applied research background. Ideal candidates have hands-on experience withstate-of-the-artmultimodal GenAI and/or3D reconstruction models, and excel at buildingrobust, high-performance inference pipelines. This role isnot focused on training foundation models, but rather onfinetuning, adapting,optimizing, evaluating, and shippingthem as production systems.

Minimum Qualifications

  • Master's degreerequired, PhD preferred, in CS, Robotics, EE, or related fields.

  • 8+ years of applied ML/AI engineering experience, with at least3+ years delivering production AI systems at scale.

  • Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g.,NeRF, Gaussian Splatting,world models,diffusion-based generation).

  • Hands-on experience building AI agents ortoolsanddeploying machine learning models in production.

  • Strong programming skills in Python, along with experience usingamodern ML/AI librarysuch asPyTorch, TensorFlow, OpenAI APIs,HuggingFace,gsplat, etc.

  • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.

  • Ability to move fluidly betweenresearch exploration and practical engineering.

  • Demonstrated ability to lead projects end-to-end with minimal guidance.

Preferred Qualifications

  • Provenexperience fine-tuning andoptimizingfoundation models(LLMs, VLMs, diffusion, 3D neural models).

  • Experience integrating models intosimulation pipelines, robotics systems, mapping workflows, or AVperceptionstacks.

  • Experience with scene understanding, or computational geometry

  • Background in 3D geometry, graphics, or sensor modeling.

  • Proficiencywith vector search/RAG systemsand embedding pipelines.

  • Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability.

  • Prior experience mentoring teams, defining architecture, and leading multi-quarter technical initiatives.

Compensation:

  • The expected base compensation for this role is: $189,300 - $290,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • You also need to include general information about potential commissions, if applicable.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Remote:
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View/Sunnyvale], you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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