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Deep Blue Jobs in California (NOW HIRING)

About Blue Current Blue Current (the "Company") is the industry leader in the development of ... The ideal candidate combines deep cathode and electrode expertise with strong people and program ...

About Blue Current Blue Current (the "Company") is the industry leader in the development of ... The ideal candidate combines deep expertise in solid electrolytes and silicon/graphite anode ...

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Deep Blue information

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$14

$25

$37

How much do deep blue jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for deep blue in California is $25.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $30.38 per hour, depending on experience, location, and employer.

What is the difference between Deep Blue vs Chess Engine Developer?

AspectDeep BlueChess Engine Developer
Primary RoleSupercomputer designed to play chess at a high levelDevelops software algorithms for chess engines
Required CredentialsComputer science, AI, or related fields; often advanced degreesProgramming, AI, and chess knowledge; certifications vary
Work EnvironmentResearch labs, supercomputing centersSoftware companies, research institutions, or personal projects
Industry UsageUsed in AI research, chess competitions, and demonstrationsGame development, AI research, and hobbyist communities

Deep Blue is a specialized supercomputer built to play chess at a competitive level, while a Chess Engine Developer creates the software algorithms that power chess engines. The former is a hardware-focused project, whereas the latter involves software development and AI programming. Both roles require strong technical skills, but their work environments and industry applications differ significantly.

What are common challenges faced by professionals working in Deep Blue ocean exploration roles?

Professionals in Deep Blue ocean exploration roles often deal with challenging environments, including extreme depths, high water pressure, and unpredictable weather. Working with advanced technology, such as remotely operated vehicles (ROVs) and underwater sensors, requires strong technical troubleshooting skills and adaptability. Teamwork is essential, as missions are typically conducted in multidisciplinary teams involving engineers, scientists, and support crew. Additionally, extended periods at sea can be demanding, requiring resilience and effective communication.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer, and why are they important?

To thrive as an Artificial Intelligence Engineer, you need strong programming abilities (Python, Java, or C++), a background in mathematics and statistics, and typically a degree in computer science or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), AI model deployment systems, and cloud platforms is essential. Critical thinking, problem-solving, and effective collaboration are vital soft skills in this role. These competencies enable the creation of impactful AI solutions, efficient model deployment, and successful teamwork within multidisciplinary environments.

What are Deep Blue jobs?

Deep Blue refers to the famous IBM supercomputer that made history in the 1990s by defeating world chess champion Garry Kasparov. While 'Deep Blue' itself was not a job title, careers related to Deep Blue typically involve computer engineering, artificial intelligence, data analysis, and high-performance computing. Professionals working on projects like Deep Blue design and program complex algorithms, develop hardware and software systems, and apply AI to solve challenging problems, including games like chess. Today, similar roles exist in AI research, machine learning, and supercomputing fields.
What job categories do people searching Deep Blue jobs in California look for? The top searched job categories for Deep Blue jobs in California are:
Infographic showing various Deep Blue job openings in California as of July 2026, with employment types broken down into 68% Full Time, 29% Part Time, and 3% Temporary. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $53,147 per year, or $25.6 per hour.
Blue Yonder (JDA) Solution Architect (Supply Chain/Logistics) - Santa Clara, CA - Onsite - JK

Blue Yonder (JDA) Solution Architect (Supply Chain/Logistics) - Santa Clara, CA - Onsite - JK

Central Business Solutions

Santa Clara, CA • On-site

$74 - $97.50/hr

Full-time

Re-posted 5 days ago


Job description

Blue Yonder (JDA) Solution Architect
Logistics & Supply Chain Solutions
Position Overview
We are seeking an experienced Blue Yonder (JDA) Solution Architect to lead end-to-end solution design
and implementation for a 6+ month consulting engagement. The ideal candidate will drive solution
architecture and design for Blue Yonder (BY) implementations and enhancements, translating complex
business requirements into scalable, best-practice logistics solutions. This role requires deep Blue
Yonder expertise, strong leadership capabilities, and preferably prior experience with semiconductor
manufacturing environments.
Key Responsibilities
•Lead Solution Architecture: Own end-to-end solution blueprint covering process design,
configuration, integrations, reporting, and data migration; present solution options with
tradeoffs and strategic recommendations to stakeholders.
•Requirements & Design: Conduct discovery workshops, gather business requirements, and
translate into comprehensive functional and technical specifications aligned with best practices.
•Integration Architecture: Design and guide integration strategy with upstream/downstream
systems including ERP (SAP/Oracle), EDI, carrier systems, OMS, WCS, and supply chain visibility
platforms.
•BY Configuration & Best Practices: Guide teams on Blue Yonder configuration across logistics
processes-inbound/outbound, warehouse operations, order planning, execution, and freight
settlement.
•Non-Functional Requirements: Define performance, scalability, security, monitoring, and
resilience requirements; ensure solution meets enterprise standards.
•Testing & Quality: Develop SIT/UAT strategy, lead defect triage, and ensure solution quality
through client sign-offs and production readiness.
•Stakeholder Management: Work closely with business and technical stakeholders to manage
scope, risks, dependencies, and release readiness; provide executive-level communication.
•Team Leadership & Knowledge Transfer: Mentor and guide implementation team members;
lead knowledge transition sessions and establish long-term solution governance.
Required Qualifications
•Minimum 3-5 end-to-end Blue Yonder (JDA) implementation projects as Solution Architect or
Senior Functional Consultant.
•Deep expertise in Blue Yonder ESP (Enterprise Service Platform) and Order Promising (OP)
configuration, process design, and logistics best practices.
•Strong experience designing and architecting integrations with ERP systems (SAP or Oracle), EDI,
OMS, WCS, and carrier management platforms.
•Proven ability to conduct discovery workshops, perform system analysis, and write
comprehensive functional and technical specifications.
•Exceptional problem-solving, strategic thinking, and analytical skills; ability to troubleshoot
complex logistics and supply chain challenges.
•Strong communication and stakeholder management; comfortable presenting to executive
leadership and managing scope/risk/dependencies.
•Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent; or minimum 6
years of related Blue Yonder/JDA consulting experience.
Preferred Qualifications
•Prior implementation experience with semiconductor manufacturing or product-based
customers (highly preferred).
•Hands-on experience with Blue Yonder inbound, outbound, warehouse operations, Order
Promising, and warehouse execution system (WES) modules.
•Exposure to freight settlement, charge calculation, and carrier management functionality.
•Knowledge of supply chain control towers and advanced supply chain visibility platforms.
•Experience mentoring implementation teams and driving knowledge transition in complex,
multi-phase programs.
Engagement Details
•Duration: 6 months+ (potential for extension based on project phasing).
•Location: 50-75% travel required across Dallas, Boston, and Bay Area client locations.
•Role: Solution Architect leading architecture, design, and implementation governance.
•Team: Will partner with implementation teams, functional consultants, technical teams, and
business stakeholders.