Engineering Journal Jobs in Robinson Ranch, CA

Title: GenAI Architect & Data Scientist 100% Remote Description: We are seeking a GenAI Architect & Data Scientist to design and build intelligent, scalable AI systems with a strong focus on Natural Language Processing (NLP) and Generative AIdriven conversational experiences.

The ideal candidate will combine deep data science expertise with architectural thinking to deliver intent-driven, context-aware, and production-ready AI solutions across cloud platforms.

This role requires 12+ years of hands-on and architectural experience in large-scale enterprise environments.

Key Responsibilities GenAI & NLP Solution Design Design and architect Generative AI solutions leveraging Large Language Models (LLMs).

Build and optimize NLP pipelines for intent detection, entity extraction, sentiment analysis, summarization, and conversational understanding.

Apply generative AI techniques to automate and enhance complex language-based interactions.

Design scalable AI architectures supporting multi-channel conversational platforms (web, chat, voice, APIs).

Intent Design & Conversational AI Analyze user behavior and business requirements to define intent hierarchies.

Design dialogue flows, fallback strategies, and contextual conversation handling.

Improve conversational accuracy using prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).

Ensure conversational experiences align with business goals and are explainable.

Data Science & Model Development Develop, train, evaluate, and optimize ML and deep learning models for NLP use cases.

Work with structured and unstructured data.

Perform feature engineering, experimentation, and model validation.

MLOps & Production Readiness Implement MLOps pipelines for model versioning, deployment, monitoring, and retraining.

Ensure production readiness with observability, performance tracking, and governance controls.

Collaborate with DevOps teams for enterprise AI integration.

Cloud AI & Architecture Design and deploy AI solutions on AWS, Azure, or GCP.

Leverage managed AI/ML services for training and inference.

Ensure scalability, security, compliance, and cost optimization.

Collaboration & Leadership Collaborate with product managers, engineers, UX designers, and stakeholders.

Provide architectural guidance and technical leadership.

Mentor data scientists and engineers on GenAI and MLOps best practices.

Required Skills Core Technical Skills Strong expertise in Natural Language Processing (NLP).

Hands-on experience with Generative AI and Large Language Models (LLMs).

Proven experience in Intent Design and conversational AI systems.

Strong background in Data Science and Machine Learning.

Experience implementing MLOps frameworks.

Job Title : Cloud Infrastructure
- Lead Location : Remote Job Description : Adobe's Enterprise Tools team is growing! Join a highly experienced team with vital responsibilities and a central role in product development.

As part of the team, you will help design, build, improve, support, and maintain Adobe Jira, one of the largest and most complex Jira Data Center installations in the world, as well as help the team move to Atlassian Cloud Stack.

Manage tools hosted on-premises and perform application-level upgrades.

Troubleshoot, proactively optimize applications, and perform cleanup.

Educate engineering teams on best practices.

Create, maintain, and improve monitoring and alerting systems using NewRelic and Splunk.

Expand self-service capabilities by identifying and building tools and automations that help users and admins.

Work with infrastructure support teams to keep software and hardware updated and patched.

Evaluate Atlassian Cloud and prepare for the Jira Cloud migration (coming soon).

Qualifications : 5+ years of Jira Data Center system admin experience at enterprise level scale.

2+ years of Jira Cloud system admin experience at enterprise level scale.

Hands-on Jira Cloud prep and migration experience.

Growing knowledge and passion for AI systems.

Accountability for both front-end and back-end-related technical challenges in the enterprise data center environment.

Excellent troubleshooting, debugging, problem-solving and analytical skills.

Proficiency with RedHat Linux system administration and programming.

Fluency with Java, scripting languages, Oracle and SQL databases.

Working knowledge of Atlassian products, GitHub, orchestration tools.

Experience with tool integrations on the enterprise level, like Jira and GitHub.

Customer support mindset with ability to communicate complex engineering initiatives to programmers and non-technical users.

Come Join a Company at the Forefront of AI, Computer Vision, and Facial Recognition! This Jobot Job is hosted by: Ruby Voight Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $150,000
- $200,000 per year A bit about us: We’re revolutionizing retail loss prevention and customer safety through a powerful combination of physical deterrents and cutting-edge technology—including AI, computer vision, and facial recognition.

As a global leader with over 25 years of industry excellence and a growing, diverse team of 500 employees across offices in North America, Europe, Australia, and Asia, we’re driven by innovation, integrity, and impact.

Join us and be part of a mission-focused team that’s making a real difference in the future of retail, providing innovative solutions and services that redefine industry standards.

Why join us? Attractive Total Compensation Package, including annual bonus Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.

401(k) Plan with Employer Match Generous Paid Time Off (PTO) policy Observance of 11 paid company holidays Various Employee Engagement Events Exciting Growth Opportunities Positive Company Culture Job Details Develop and maintain firmware across embedded Linux platforms and device drivers.

Build firmware applications for our devices; optimize existing firmware for performance, power usage, and reliability.

Develop internal tools for data collection, testing, diagnostics, and performance validation.

Investigate problem reports; identify root causes; implement fixes; document solutions.

Participate in technical reviews of hardware, firmware, and software requirements.

Create architecture, design, and detailed technical documentation.

Approve test/validation methods and collaborate closely with SQA.

Support product integration across gateways, cameras, BLE devices, edge computing, and cloud services.

Expanded Platform Responsibilities Build firmware supporting BLE, Wi-Fi, RF, and modern IoT protocols (MQTT, WebSockets, REST).

Integrate with edge gateways, including containerized applications (Docker), device management agents, and OTA update mechanisms.

Support data ingestion pipelines feeding cloud analytics and AI/ML systems (Azure/GCP).

Work with cross-functional teams to enable sensor fusion, data streams, and APIs connecting edge devices to backend platforms.

Contribute to long-term modernization of the embedded stack (Linux optimizations, secure boot, diagnostics, and telemetry).

QUALIFICATION REQUIREMENTS Required Bachelor’s or master’s in electrical engineering, Computer Science, or related field.

5+ years of embedded software design and development experience.

Proficient in C/C++, python, and Linux-based development.

Deep experience with embedded Linux, including kernel, u-boot, and driver-level work.

Familiarity with Yocto or other embedded Linux build systems.

Working knowledge of Containerization, either Dockers or Kubernetes.

Experience with wireless systems (BLE, Wi-Fi, RF) and communication protocol design.

Strong skills in debugging, test automation, and use of oscilloscopes, logic analyzers, etc.

Ability to analyze performance, optimize memory footprint, and design for low-power systems.

Strong analytical, mathematical, and problem-solving abilities.

Preferred / Highly Valuable Experience developing for edge gateways (Intel/ARM SBCs, containers, virtualization).

Knowledge of IoT systems and device-to-cloud architectures (Azure IoT, GCP IoT Core equivalents).

Understanding of sensor fusion, computer vision pipelines, or edge deployment.

Experience with secure device management, OTA updates, and remote diagnostics.

Familiarity with retail, industrial IoT, or safety-critical embedded systems.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

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Job title: Manual QA
- Tester (remote) Pay: $37/hr Role Summary: The Manual QA Tester will be responsible for validating ETL processes, data transformations, reporting outputs, and end-to-end healthcare data workflows.

The role requires deep understanding of data quality, SQL-based validation, Microsoft BI tools, and healthcare compliance standards.

The tester will work independently while guiding junior testers and supporting test leads.

Key Responsibilities: Analyze business, functional, and technical requirements to identify testable scenarios and clarify ambiguities in user stories and specifications.

Design comprehensive manual test plans, test scenarios, and test cases for applications and data platforms.

Validate data mapping, transformations, aggregations, and business rules across source systems, staging layers, data warehouses, and reporting layers.

Perform data integrity checks, reconciliations, and consistency validations using SQL and other data validation techniques.

Test and validate ETL pipelines, SSIS packages, batch jobs, scheduled workflows, and data extracts for accuracy, completeness, and compliance.

Validate SSRS reports, BI dashboards, and downstream deliverables to ensure alignment with warehouse data and business expectations.

Execute manual testing for web applications, Windows-based desktop applications, backend/data services, ETL processes, and reporting solutions.

Perform smoke, system, integration, regression, and user acceptance testing (UAT) to validate end-to-end healthcare workflows and data flows.

Identify, log, track, and manage defects using tools such as Jira or Azure DevOps, and collaborate with developers and data engineers to resolve issues and verify fixes.

Document test execution results, defect reports, test evidence, and sign-off artifacts to support quality assurance, audits, and compliance.

Ensure all testing activities comply with healthcare regulatory standards such as HIPAA and support audit and compliance requirements.

Communicate test results, risks, quality metrics, and recommendations clearly to cross-functional stakeholders.

Guide and mentor junior testers, assist test leads with reporting and estimation, and contribute to continuous QA process improvements.

Required Skills: 46 years of experience in manual testing, with strong focus on ETL, data transformation, and data validation.

Proven experience in healthcare domain testing, including regulatory and compliance requirements (HIPAA).

Strong hands-on experience with Microsoft database technology stack (SQL Server, SSIS, SSRS).

Advanced SQL skills for data validation, reconciliation, and integrity checks.

Experience testing data warehouses, staging layers, and reporting systems.

Hands-on experience with defect tracking tools such as Jira or Azure DevOps.

Strong understanding of testing methodologies, testing life cycle, and QA best practices.

Ability to design efficient test cases, create test data, and execute tests independently.

Strong analytical, problem-solving, and communication skills.

Experience working in Agile environments and collaborating with cross-functional teams.

Qualification: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

46 years of relevant experience in manual QA testing with ETL and data-focused applications.

Healthcare domain experience is mandatory.

Experience with Microsoft BI and database tools is required.

Relevant testing or healthcare IT certifications are a plus.