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Ultra Pro Jobs in California (NOW HIRING)

Tencent

Sr. AI Inference Systems Engineer

Palo Alto, CA · On-site

$124K - $235K/yr

Experience in tuning ultra-large-scale inference clusters or driving AI inference productization ... Benefits may also be pro-rated for those who start working during the calendar year. Equal ...

General Atomics

Systems Administrator V

San Diego, CA · On-site

$116K - $208K/yr

Provision and troubleshoot core network sharing protocols (NFS) and ultra-low-latency networking ... PBS Pro). * Experience configuring or administering parallel file systems (e.g., BeeGFS)

Mariner

Wealth Advisor

San Diego, CA · On-site

$100K - $150K/yr

Previous experience with high net worth or ultra-high net worth clients * Mastery of various financial planning and investment software products (eMoney, MoneyGuide Pro) * Highly effective ...

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All JobsUltra Pro JobsUltra Pro Jobs in California

Ultra Pro information

See California salary details

$11

$18

$22

How much do ultra pro jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for ultra pro in California is $18.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $20.14 per hour, depending on experience, location, and employer.

What are some common challenges faced by Ultra Pro sales representatives when building relationships with retailers and distributors?

Ultra Pro sales representatives often encounter challenges such as navigating a highly competitive market, addressing diverse retailer needs, and staying updated with rapidly changing product trends. Building trust with retailers and distributors requires consistent communication, product knowledge, and the ability to provide tailored solutions. Additionally, representatives must effectively balance territory management with the need to meet sales targets, all while collaborating with internal teams to ensure timely product delivery and support.

What is an Ultra Pro?

An Ultra Pro is not a standard job title, but it is most commonly associated with Ultra PRO, a company known for producing gaming accessories such as card sleeves, binders, playmats, and other collectibles protection products. People who work for Ultra PRO may have roles in manufacturing, sales, marketing, or customer service related to the gaming and collectibles industry. If you're referring to a role at Ultra PRO, it would be helpful to specify the specific position or job function. Ultra PRO products are widely used by trading card game players and collectors to keep their items in pristine condition.

What is the difference between Ultra Pro vs Card Manufacturer?

AspectUltra ProCard Manufacturer
CredentialsTypically no formal certifications requiredMay require certifications for specific manufacturing processes
Work EnvironmentOffice and warehouse settings, retail storesManufacturing plants, production lines
Industry UsageSupplies protective accessories for collectiblesProduces trading cards and related products
Common Search IntentBuying protective card sleeves and accessoriesManufacturing and designing trading cards

Ultra Pro primarily focuses on manufacturing protective accessories for trading cards and collectibles, often working in retail and warehouse environments. Card Manufacturers, on the other hand, produce the actual trading cards, often requiring specialized manufacturing certifications. While both serve the trading card industry, Ultra Pro is more consumer-facing, whereas Card Manufacturers are involved in the production process.

What are the key skills and qualifications needed to thrive as an Ultra Pro?

To thrive as an Ultrasound Technician, you need a solid understanding of human anatomy, proficiency in sonographic imaging, and completion of an accredited diagnostic medical sonography program with relevant certification (such as ARDMS). Familiarity with ultrasound machines, PACS systems, and patient record software is typically required. Excellent communication, attention to detail, and compassionate patient care are essential soft skills for this role. These skills ensure accurate diagnostics, patient comfort, and effective collaboration with healthcare teams.
What are the most commonly searched types of Ultra Pro jobs in California? The most popular types of Ultra Pro jobs in California are:
What are popular job titles related to Ultra Pro jobs in California? For Ultra Pro jobs in California, the most frequently searched job titles are:
What job categories do people searching Ultra Pro jobs in California look for? The top searched job categories for Ultra Pro jobs in California are:
What cities in California are hiring for Ultra Pro jobs? Cities in California with the most Ultra Pro job openings:
Ultra Pro jobs near you
Infographic showing various Ultra Pro job openings in California as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $38,315 per year, or $18.4 per hour.

AI Engineer (Generative AI & Google Ecosystem)

Critical River, Inc.

San Francisco, CA • On-site

$114K - $157K/yr

Other

Re-posted 2 days ago

Job description

Job Title: AI Engineer (Generative AI & Google Ecosystem)
Location: SFO, CA (2-3days Hybrid)
Duration: 6months

Key Responsibilities

  • Application Development: Design, build, and deploy generative AI applications powered by Google Gemini (Pro, Flash, and Ultra) and Vertex AI.
  • Orchestration & Workflow Design: Utilize LangChain to build complex prompt pipelines and RAG systems. Design and implement stateful, multi-agent workflows and cyclical AI processes using LangGraph.
  • Google Cloud Integration: Architect solutions utilizing the Google Cloud Platform (Google Cloud Platform) ecosystem, including Vertex AI Search and Conversation, BigQuery, Cloud Run, and Google Cloud Storage.
  • Data Pipeline & RAG Engineering: Ingest, process, and chunk diverse data formats. Implement robust vector search architectures using Google Vertex AI Vector Search or open-source vector databases (e.g., Chroma, Milvus).
  • Model Optimization: Employ advanced prompt engineering techniques, few-shot learning, and parameter-efficient fine-tuning (PEFT) to optimize Gemini''''s performance for specific industry use cases.
  • Evaluation & MLOps: Establish rigorous evaluation metrics for LLM outputs (accuracy, latency, hallucination rates). Deploy models using modern LLMOps practices to ensure observability, scalability, and security.
  • Collaboration: Work closely with product managers, data engineers, and front-end developers to seamlessly integrate AI features into our core products.

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