ai engineer intern - summer 2026 - socal

ai systems engineer

ai/ml engineer

software engineering project manager Jobs in Irvine

software engineering project manager

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ai ml engineer

Ascendion

<div><div><div><h1 class="jobSectionHeader"><b>About Ascendion
</b></h1><p>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
</p><p><b>Ascendion | Engineering to elevate life
</b></p><p>We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
</p><ul><li>Build the coolest tech for the world&rsquo;s leading brands
</li><li>Solve complex problems &ndash; and learn new skills
</li><li>Experience the power of transforming digital engineering for Fortune 500 clients
</li><li>Master your craft with leading training programs and hands-on experience
</li></ul><p>Experience a community of change makers!
</p><p>Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.<br>
</p></div><div><br>
<div><h2 class="jobSectionHeader"><b>About the Role<br>
</b></h2><p></p><p>Serves as a senior technical leader responsible for driving the design, development, and deployment of advanced AI solutions to solve complex business challenges. Brings deep expertise across domains, including computer vision, natural language processing, recommendation systems, and predictive analytics, while shaping strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives.
</p><p>This is a hybrid role, requiring candidates to be within a commutable distance of Irvine, CA, or Plano, TX<br>
</p><p></p><h2 class="jobSectionHeader"><b>Job Title
</b></h2><p>AI/Machine learning Engineer
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Designs, develops, and delivers solutions that meet business line and enterprise requirements.
</li><li>Serves as a recognized authority and internal expert in applied AI, shaping the organization&rsquo;s technical direction and strategy.
</li><li>Oversees large, complex, and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
</li><li>Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
</li><li>Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
</li><li>Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
</li><li>Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
</li><li>Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
</li><li>Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
</li><li>Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
</li><li>Performs other duties and projects assigned.
</li></ul><h2 class="jobSectionHeader"><b>Minimum Qualifications
</b></h2><ul><li>5+ years of software engineering experience (C#, Python, Java, or similar; C# preferred)
</li><li><br>
2+ years working with Python and machine learning frameworks (PyTorch, TensorFlow, etc.)
</li><li>Hands-on experience with LLMs, Generative AI, or agent-based frameworks
</li><li><br>
Proven delivery of scalable machine learning/AI solutions on Azure, AWS, or GCP
</li><li>Strong foundation in machine learning, deep learning, data structures, and optimization
</li><li><br>
Experience with MLOps tools (Docker, Kubernetes, MLflow)
</li><li>Ability to translate AI research into enterprise-grade solutions
</li><li>Strong problem-solving, communication, and stakeholder management skills
</li><li>Banking mortgage experience is highly preferred
</li><li>Bachelor&rsquo;s in CS/AI/machine learning required; advanced degree preferred
</li><li><br>
Nice to have: transformers, edge AI, federated learning, or open-source contributions
</li></ul><h2 class="jobSectionHeader"><b>Desired Qualifications
</b></h2><ul><li>Experience with transformers, edge AI, federated learning, or real-time inference systems.
</li><li>Track record of contributions to open-source AI projects, patents, or published research.
</li><li>Proficiency with productivity tools such as MS Office and collaboration platforms (Word, Excel, PowerPoint, Outlook, Teams).
</li></ul><h2 class="jobSectionHeader"><b>Location
</b></h2><p>Irvine, CA - 92618<br>
</p></div></div><p></p><p><b>Salary and Other Compensation: The </b>annual salary for this position is between $150,000 - $200,000 annually. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
</p><p><b>Benefits: </b>The company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance], [dental insurance], [vision insurance], [401(k) retirement plan], [long-term disability insurance], [short-term disability insurance] [5 personal days accrued each calendar year]. The paid time off benefits meet the paid sick and safe time laws that pertain to the city/state. [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
</p><h2 class="jobSectionHeader"><b>Want to change the world? Let us know.
</b></h2><p>Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!</p></div></div><div></div>
<br><div><div><h4 class="jobSectionHeader"><b>Preferred Skills
</b></h4><div><div>Generative AI Expertise
<ul><li><div>Cloud &amp; Scalable AI Deployment
</div></li><li><div>Docker
</div></li><li><div>Kubernetes
</div></li><li><div>Python
</div></li><li><div>C#
</div></li><li><div>or Java
</div></li><li><div>Azure
</div></li><li><div>AWS
</div></li><li><div>GCP
</div></li><li><div>machine learning
</div></li><li><div>deep learning
</div></li><li><div>LLMs
</div></li><li><div>AI
</div></li><li><div>Machine Learning
</div></li></ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job details
</b></h4><div><div><h6 class="jobSectionHeader"><b>Job ID
</b></h6><p>331942
</p></div><div><h6 class="jobSectionHeader"><b>Job Requirements
</b></h6><p>AI/ML Engineer
</p></div><div><h6 class="jobSectionHeader"><b>Location
</b></h6><p>Irvine, California, US
</p></div><div><h6 class="jobSectionHeader"><b>Recruiter
</b></h6><p>Priya
</p></div><div><h6 class="jobSectionHeader"><b>Email
</b></h6><p>priya.abraham@ascendion.com
</p></div></div></div><div><h4 class="jobSectionHeader"><b>About Ascendion
</b></h4><div><h6 class="jobSectionHeader"><b>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
</b></h6><p>Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.</p></div></div></div>

AI/ML Engineer

CliftonLarsonAllen

<div><div>We&rsquo;re looking for an AI Engineering Intern who is early in their career and eager to learn how real-world AI solutions are designed, built, and deployed. This intern will work closely with senior AI leaders on the hands-on development of scalable AI products, gaining exposure to the full AI lifecycle from data preparation and experimentation to evaluation, deployment, and continuous improvement, while building a strong foundation in Python, machine learning, and modern applied AI techniques.</div><div></div><div>
We strive every day to exemplify our CLA values &ndash; curious, collaborative, transparent, inclusive, and reliable. We are looking for individuals who believe in accountability for one&rsquo;s actions, take the initiative to make their vision a reality and place honesty, professionalism, conscientiousness and trust above all else.</div><div></div><div>
CLA is dedicated to building a <div>culture</div> that welcomes different beliefs and perspectives, so we can truly know and help our clients, communities, and each other.</div><div></div><div>
Our <b>Irvine, CA</b> is seeking an AI Engineer Intern.</div><div></div><div>
Come and see for yourself!</div><div></div><div><b>
PRIMARY RESPONSIBILITIES</b></div><ul><li><div>
Build reusable components for AI workflows under the guidance of senior team members</div></li><li><div>
Prepare and transform data for machine learning, optimization, and LLM applications</div></li><li><div>
Develop and test APIs, pipelines, notebooks, and backend services that support AI solutions</div></li><li><div>
Run experiments, track results, and summarize findings in a clear and structured way</div></li><li><div>
Support model evaluation, prompt evaluation, and error analysis</div></li><li><div>
Help operationalize solutions through deployment packaging, logging, alerting, and basic monitoring</div></li><li><div>
Debug issues across data, model, and application layers</div></li><li><div>
Follow engineering best practices for code quality, testing, documentation, and security</div></li><li><div>
Stay current on relevant Azure AI, Databricks, and applied AI tooling</div></li></ul><div></div><div><b>
MINIMUM REQUIREMENTS</b></div><ul><li><div>
Working towards the achievement of a Bachelor&rsquo;s degree in computer science, data science, statistics, engineering, mathematics, or a related field <b>strongly preferred</b></div></li><li><div>
Basic understanding of cloud-based AI and data platforms (e.g., Azure AI services, Azure ML, Databricks)</div></li><li><div>
Familiarity with common generative AI concepts such as prompt design, retrieval-augmented generation (RAG), and evaluations</div></li><li><div>
Introductory awareness of MLOps concepts, including model lifecycle, deployment, and monitoring</div></li><li><div>
General knowledge of vector search, document processing, and AI-enabled search workflows</div></li><li><div>
Exposure to applied modeling concepts (e.g., time series or anomaly detection) and building simple APIs or backend services</div></li><li><div>
Reliable transportation</div></li></ul><div></div><div>
Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range.</div><div></div><div>
The compensation rate for this role in Irvine, CA is $36.40.</div><div>
#HC1</div><div></div><div>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</div><div></div><div><b><br>
Wellness at CLA</b></div><div>
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.</div><div></div><div>
To view a complete list of benefits click <div>here</div>.</div></div><div></div>

AI Engineer Intern - Summer 2026 - SoCal

Buildable Ai

<p>Company: Buildable AI</p><p>Location: Remote (U.S. preferred)</p><p>Experience: 2&ndash;3 years</p><p>Job Type: Part-Time</p><p>About Us</p><p>Buildable AI is building a next-generation AI system that turns simple prompts into full production-ready apps and websites. We&rsquo;re pushing the limits of real-time code generation, editing systems, and autonomous development workflows.</p><p>Role Overview</p><p>We&rsquo;re looking for a high-agency AI Software Systems Engineer to help design and improve our core orchestration systems. You&rsquo;ll work directly on systems that generate, edit, and validate real-world applications using AI.</p><p>What You&rsquo;ll Do</p><p>Build and improve AI-driven code generation + editing systems</p><p>Work on orchestration pipelines, tool execution, and validation systems</p><p>Debug complex system failures across multi-step workflows</p><p>Optimize reliability</p><p>Collaborate on system architecture and performance improvements</p><p>Requirements</p><p>2&ndash;3 years of software engineering experience</p><p>Strong skills in TypeScript, React, or backend systems</p><p>Experience with APIs, distributed systems, or real-time systems</p><p>Comfortable working with AI tools / LLM-powered workflows</p><p>High ownership mindset (you figure things out fast)</p><p>Nice to Have</p><p>Experience with AI/LLMs (OpenAI, Anthropic, etc.)</p><p>Experience with systems like Supabase, Vite, or modern full-stack tooling</p><p>Startup experience or building products from scratch</p><p>Compensation</p><p>Competitive hourly or project-based pay</p><p>Potential for full-time transition</p><p>How to Apply</p><p>Send:</p><p>Resume</p><p>GitHub or past projects</p><p>(Optional) Short note on why you&rsquo;re a fit</p><p>Why Join</p><p>Work on cutting-edge AI systems</p><p>Direct impact on product + architecture</p><p>Fast-moving, no-bureaucracy environment</p><p>Job Types: Full-time, Part-time, Contract</p><p>Benefits:</p><ul><li>Flexible schedule</li></ul><p>Work Location: In person</p><p>Pay: $5,000.00 - $10,000.00 per month</p><p>Work Location: In person</p>

AI Systems Engineer

FieldAI

<div>
 <p>
  <span>
   FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Job
   <p>
    <br/>
   </p>
   <p>
    <span>
     FieldAI is seeking a Vice President of Engineering to lead the engineering organization responsible for scaling our autonomous robotics platform from early deployments to large-scale, sustained field operations. This role works across software platforms and application engineering to ensure our robots, tools, and infrastructure are designed, tested, released, and operated with the rigor required for real-world autonomy at scale. You will partner closely with product, robotics, autonomy, and field operations leadership to align technical execution with a deployment-driven roadmap. This role blends technical depth, organizational leadership, and operational discipline, with a strong emphasis on reliability, repeatability, and system maturity.
    </span>
   </p>
   <p>
    <p>
     <br/>
    </p>
    <strong>
     What You&rsquo;ll Get To Do
    </strong>
    <li>
     <br/>
     <br/>
    </li>
    <strong>
     Engineering Leadership and System Architecture
     <br/>
    </strong>
    <ul>
     <li>
      Drive engineering efforts around a clear deployment-driven roadmap that supports reliable autonomous operation at increasing scale
     </li>
     <li>
      Guide the technical direction and architecture of FieldAI&rsquo;s software stack, including on-robot systems, cloud services, data pipelines, and operator applications
     </li>
     <li>
      Ensure clear interfaces between autonomy, platform, and application layers to support parallel execution and scale
     </li>
     <li>
      Promote engineering practices that support long-lived, maintainable systems in safety-critical and operational environments
     </li>
     <li>
      Partner with product and autonomy leadership to translate deployment goals into concrete technical milestones and execution plans
      <br/>
      <br/>
     </li>
    </ul>
    <strong>
     Lead Software Platform Engineering
     <br/>
    </strong>
    <ul>
     <li>
      Lead teams responsible for robotics QA, release processes, and validation pipelines that support predictable and safe software releases
     </li>
     <li>
      Guide development of automated testing infrastructure used for autonomy validation, regression testing, and deployment readiness
     </li>
     <li>
      Oversee autonomy analytics systems that collect, process, and analyze data from real deployments to measure performance, reliability, and system limits
     </li>
     <li>
      Guide software infrastructure efforts including CI/CD, dependency management, developer environments, documentation, and internal tooling
     </li>
     <li>
      Support cloud infrastructure for fleet operations, monitoring, data ingestion, ML workflows, and observability
     </li>
     <li>
      Collaborate with cybersecurity teams to ensure secure operation of on-robot and cloud systems
      <br/>
      <br/>
     </li>
    </ul>
    <strong>
     Lead Application Engineering for Robot Operations
     <br/>
    </strong>
    <ul>
     <li>
      Lead application engineering teams building tools for robot operations, fleet management, mission planning, monitoring, and customer insight
     </li>
     <li>
      Ensure tight integration between robots, cloud services, APIs, and user-facing applications
     </li>
     <li>
      Support development of tools that reduce deployment effort, streamline onboarding, and automate triage and monitoring.Encourage clear separation between rapid operational support and longer-term platform evolution
      <br/>
      <br/>
     </li>
    </ul>
    <strong>
     Deployment Readiness and Execution
     <br/>
    </strong>
    <ul>
     <li>
      Work with field and operations teams to ensure engineering systems support efficient, repeatable deployments
     </li>
     <li>
      Improve feedback loops from live operations into engineering through metrics, tooling, and structured processes
     </li>
     <li>
      Promote practices that reduce per-deployment engineering involvement over time through automation, documentation, and tooling
     </li>
     <li>
      Support uptime, reliability, and autonomy performance tracking across deployed robots
      <br/>
      <br/>
     </li>
    </ul>
    <strong>
     Planning, Prioritization, and Focus
     <br/>
    </strong>
    <ul>
     <li>
      Establish clear planning and execution rhythms that align engineering teams around shared goals and timelines
     </li>
     <li>
      Improve visibility into team capacity, work in progress, and technical dependencies
     </li>
     <li>
      Help teams balance near-term operational needs with longer-term system improvements
     </li>
     <li>
      Support prioritization frameworks that keep engineering effort focused on the highest-impact work
      <br/>
      <br/>
     </li>
    </ul>
    <strong>
     Organization, Hiring, and Culture
     <br/>
    </strong>
    <ul>
     <li>
      Mentor and develop senior engineering leaders across platform and application teams
     </li>
     <li>
      Partner with leadership to shape hiring plans, onboarding processes, and team composition
     </li>
     <li>
      Encourage engineering practices that protect deep technical work while supporting operational needs.Foster a culture of clarity, collaboration, accountability, and continuous improvement
      <br/>
     </li>
    </ul>
    <p>
     <br/>
    </p>
    <strong>
     What You Have
    </strong>
    <ul>
     <li>
      12+ years of experience in software engineering, with significant experience leading multi-team engineering organizations
     </li>
     <li>
      Proven experience delivering and operating complex systems in production or operational environments
     </li>
     <li>
      Strong technical background in distributed systems, infrastructure, reliability engineering, and software quality
     </li>
     <li>
      Experience with robotics, autonomy, embedded systems, or other safety-critical or operationally intensive products
     </li>
     <li>
      Demonstrated ability to work across autonomy, infrastructure, application, and operations domains
     </li>
     <li>
      Strong communication skills and comfort working cross-functionally at the executive level
      <br/>
     </li>
    </ul>
    <p>
     <br/>
    </p>
    <strong>
     The Extras That Set You Apart
    </strong>
    <ul>
     <li>
      Experience scaling robotic or autonomous systems to broader operations
     </li>
     <li>
      Familiarity with simulation, autonomy validation, and performance analytics
     </li>
     <li>
      Experience working with operational teams, on-call rotations, or live system monitoring
      <br/>
     </li>
    </ul>
   </p>
   <p>
    <br/>
   </p>
   <br/>
   <p>
    <br/>
   </p>
   <p>
    <strong>
     Why Join Field AI?
    </strong>
   </p>
   <p>
    We are solving one of the world&rsquo;s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models&trade; set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
   </p>
   <p>
    <br/>
   </p>
   <p>
    You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With&nbsp;a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
   </p>
   <p>
    <br/>
   </p>
   <p>
    <strong>
     Be Part of the Next Robotics Revolution
    </strong>
   </p>
   <p>
    To tackle such ambitious challenges, we need a team as unique as our vision &mdash; innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We&rsquo;re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
   </p>
   <p>
    <br/>
   </p>
   <p>
    We are headquartered in always-sunny Irvine in Southern California and have US based and global teammates.&nbsp;
   </p>
   <p>
    <br/>
   </p>
   <p>
    Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
   </p>
   <p>
    <br/>
   </p>
   <p>
    We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
   </p>
   <br/>
   <p>
    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
   </p>
   <br/>
   <br/>
   <span>
    Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.
   </span>
  </strong>
 </p>
</div>


VP of Engineering

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Devops Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li>Strong hands-on experience with DevOps practices and CI/CD pipeline implementation in enterprise environments.
</li></ul><ul><li>Solid expertise with CI/CD tools such as Jenkins, GitLab CI/CD, Azure DevOps or similar platforms.
</li></ul><ul><li>Strong hands-on experience with containerization and orchestration using Docker and Kubernetes (EKS).
</li></ul><ul><li>Proven experience supporting Data Center Exit or on premises to public cloud migration programs.
</li></ul><ul><li>Strong knowledge of AWS services including EC2, EKS, VPC, IAM, S3, CloudWatch and ECR.
</li></ul><ul><li>Hands-on experience with Infrastructure as Code using Terraform for AWS environments.
</li></ul><ul><li>Working knowledge of GitOps practices and tools such as Argo CD or Flux.
</li></ul><ul><li>Experience supporting Java and .NET application build and deployment pipelines.</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li>Design, implement and maintain CI/CD pipelines for applications migrating from on premises to AWS.
</li></ul><ul><li>Build and operate Kubernetes (EKS) platforms to support containerized and microservices-based applications.
</li></ul><ul><li>Implement GitOps-based deployment models to manage application and infrastructure changes.
</li></ul><ul><li>Automate infrastructure provisioning and configuration using Terraform and DevOps pipelines.
</li></ul><ul><li>Collaborate with application, cloud, middleware and database teams during migration and cutover.
</li></ul><ul><li>Implement monitoring, logging and alerting for EKS workloads and AWS infrastructure.
</li></ul><ul><li>Enforce DevOps and GitOps best practices including version control, release management and rollback strategies.
</li></ul><ul><li>Troubleshoot build, deployment, container and infrastructure issues during migration and steady-state operations.
</li></ul><div>Cloud Experience Needed
</div><ul><li>7+ years of overall IT experience with at least 3+ years working as a DevOps engineer on AWS.
</li></ul><ul><li>Hands-on experience deploying and operating Kubernetes (EKS) clusters in production environments.
</li></ul><ul><li>Strong understanding of AWS-native services for automation, monitoring and container security.
</li></ul><ul><li>Experience supporting hybrid CI/CD and GitOps models during on premises to cloud transitions.
</li></ul><ul><li>Practical exposure to DevSecOps practices and IAM integration is preferred.
</li></ul><ul><li>Strong experience with Infrastructure as Code and automation in large migration programs.
</li></ul><ul><li>Experience working in mission-critical, enterprise-scale Data Center Exit initiatives.
</li></ul><ul><li>AWS, Kubernetes (CKA/CKAD) or DevOps-related certifications are preferred.</li></ul><br>
<div><br>
</div><div>Salary Range- $120,000-$140,000 a year
</div><div>#LI-SP3
</div><div>#LI-VX1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irvine, CA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404964</div>
</div><div><div><b>Desired Skills</b></div>
<div>DevOps</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Devops Engineer

Sunwest Bank

<div><div><div><div><b>Job Title</b><b>: </b><b>Associate to the President</b><br>
<b>Department:</b><b> </b><b>Executive - 64</b><br>
<b>Reports to:</b><b> </b><b>President</b></div>
</div>
<div><div><b>Status</b><b>:</b><b> </b><b>Exempt</b><b> </b><b>Non-Exempt</b></div>
</div>
<div><p>About the Role</p>
</div>
<div><div>The Associate to the President plays a critical role in supporting executive level initiatives and advancing the Bank&rsquo;s adoption of AI driven solutions. This position provides exposure to strategic decision making, business analysis, and emerging technology while supporting projects that directly impact organizational growth and innovation. The role is designed as a 2&ndash;3 year accelerated development opportunity for a high potential professional.</div></div><br>
<div>
</div><div></div><div><p>Work Details</p>
</div>
<div><div>Schedule: Monday &ndash; Friday, This role requires flexibility in scheduling to support executive‑level priorities and critical initiatives, particularly during the early stages of employment.
<br>
Work Location: Onsite Hybrid Remote<br>
Travel: None<br>
</div></div><div></div><div><p>What You&rsquo;ll Do</p>
</div>
<div><ul><li><div>Execute strategic and tactical initiatives assigned by executive leadership, ensuring timely and high‑quality delivery</div>
</li></ul></div><div><ul><li><div>Support the planning, execution, and monitoring of cross‑functional strategic projects</div>
</li></ul></div><div><ul><li><div>Evaluate, implement, and optimize AI and machine learning solutions across the organization</div>
</li></ul></div><div><ul><li><div>Analyze financial, operational, and market data to generate executive‑level insights</div>
</li></ul></div><div><ul><li><div>Prepare confidential reports, presentations, models, and materials for C‑suite leadership and the Board</div></li></ul></div></div></div><div></div>

Associate to the President

AOTO Electronics USA

<p>We are looking for a highly effective, highly motivated and experienced Field Service Engineer to join our team. This engineer shall support the achievement of business objective by offering technical services to our customers before, during and after the installation. The candidate should have more than 1 years&rsquo; experience in LED customer service or related field and comprehensive knowledge about video display system, control room, conference room and broadcasting video wall, and have good communication skill.</p><p>AOTO USA is a California based sales and technical service company that sells and supports high-end quality LED display systems. We are located in Orange County and NJ but offer the service throughout America. Our LED display screens are installed in many cities and airports in US.</p><p>Our designing and manufacturing headquarters company Shenzhen AOTO ELECTRONICS CO., LTD is a public traded company located in Shenzhen, China, with over a billion RMB sales per year. It is a world leading LED display complete solution provider and top LED solution provider.</p><p><b>Job Responsibility:</b></p><p>-Provide great technical assistance to customers<br/>-Perform onsite installation and configuration of LED displays<br/>-Offer remote support through remote desktop connections<br/>-Conduct onsite product demonstrations and training<br/>-Assist with warehouse operations<br/>-Write clear and concise technical instructions for customers<br/>-Research, diagnose, troubleshoot, and resolve technical issues<br/>-Perform hand soldering of pixels on LED tiles<br/>-Provide support for other tasks as assigned by management<br/>-Availability to work overtime during some peak seasons<br/>-Availability for frequent work travel</p><p><b>Requirements:</b></p><p>-Good English Communication</p><p>-Good understanding of LED screen related systems and products</p><p>-Good problem-solving and communication skills</p><p>-Ability to multi-task and meet deadlines given</p><p>-Availability to work overtime during peak seasons</p><p>-Hands-on experience with electronic or mechnical equipment: at least 1 year</p><p>-Bachelor's in Engineering Degrees or similar experience</p><p>-Need field service experience or field project experience</p><p>-This position is more about on-site installation work, IT software work experience does not match this position,thank you for your attention.</p><p>Job Type: Full-time</p><p>Pay: $5,500.00 - $6,500.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid time off</li></ul><p>Work Location: In person</p>

Technical support Engineer In LA/Irvine

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