Service Engineer jobs at Gulfstream Aerospace

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries. Location: Remote - Nebraska, Chicago, Columbus, Dallas, Fort Collins, Fort Loramie, Milwaukee, Remote - Kansas, Remote - Missouri, Remote - North Carolina, Remote - South Carolina Employment Status: Hourly Full-Time Function: Customer Experience Req ID: 27037 Primary Function Responsible for providing field service and support including troubleshooting, repair, installation, maintenance, and training on various types of industrial automation equipment. Service & support activities will be performed both on-site at a customer's facility or in-house at a company owned location. Responsibilities Provide technical support, solve problems, testing, training, installs and maintenance. Deliver a consistent, positive, and exceptional customer service experience. Work environment may be individually focused or working with a team. Industrial troubleshooting in electrical, mechanical, PLC, HMI, robot programming, networks, and Fieldbus. Take initiative to meet challenging project timelines and budgets. Ability to travel as required (install, start-up, or field support) to successfully complete projects. Ability to support all aspects of equipment install (Rigging, alignment, wiring, startup, etc.) Complete all work related documentation on time. Identify potential future opportunities with the customer while onsite. Assist in any other activities that help to support ongoing strategies. Background Experience Machine Programming (PLC/HMI) experience preferred. Safety System, Network, and Fieldbus Programming and Trouble Shooting experience preferred. Experience in robotic processes preferred. Hydraulic/Pneumatic/Lubrication system troubleshooting experience preferred. Experience with in-field installation and start-up of intermediate to advanced level manufacturing equipment. Knowledge of system preventative maintenance on intermediate to advanced level manufacturing equipment. Ability to read and interpret electrical and mechanical prints. Robot Programming experience - Fanuc and ABB preferred. Basic knowledge of one of the following robotic processes: GMAW or Plasma cutting. Successfully complete start up and debug on basic to intermediate level system. Intermediate electrical troubleshooting skills. Record of positive customer feedback. Education, Training, and Experience Minimum requirement: High school diploma or GED (technical or vocational school preferred). Preferred: Associates degree focused in electrical, mechanical, mechatronics, or robotics. 4 or more years electrical troubleshooting experience preferred. Minimum five years of field service experience. Physical Demands While performing duties of job, employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; talk and hear. Repetition with activity; computer work. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work Environment The work environment is inside manufacturing facilities. Proper person protective equipment (PPE) is required at all times while in manufacturing facilities. The noise level in the work environment is usually moderate. Location Candidates may reside in or near these locations: Dallas/Fort Worth, TX Chicago/Milwaukee North/South Carolina Kansas/Missouri Columbus, OH Fort Collins, CO Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Machine Learning Model Engineer - Samsung Ads Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team. Responsibilities Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market. Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc. Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health. Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives. Mentor junior engineers and provide technical guidance. Learn quickly and adapt to a fast-paced working environment. Experience Requirements: Master's or PhD degree in Computer Science or related fields. 4+ years of industry experience with a Master's degree or 2+ years of industry experience with a PhD degree. Solid theoretical background in machine learning and/or data mining. Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.). Hands-on experience with production-grade machine learning solutions. Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.). Extensive programming experience in Python, Go or other OOP languages. Familiarity with data structures, algorithms and software engineering principles. Proficiency in SQL and databases. Strong communication and interpersonal skills to drive cross-functional partnerships. Preferred Experience Requirements: Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.). Basic knowledge about Amazon Web Services (AWS). Experience with the advertising industry and real-time bidding (RTB) ecosystem. CALIFORNIA ONLY Compensation for this role is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

We're hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You'll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You'll Do Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults. Build and maintain data pipelines for ingestion, transformation, and model training. Partner with AI/ML teams to deploy and monitor inference and evaluation services in production. Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads. Own CI/CD workflows and environment hygiene using GitHub Actions or similar. Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response). Drive cost-efficient scaling while maintaining performance and uptime across systems. Collaborate cross-functionally to ensure infrastructure aligns with product and ML goals. What We're Looking For 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership. Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation). Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML). Proven experience with containers and orchestration (Docker, Kubernetes, or ECS). Hands-on experience designing and maintaining data pipelines (batch or streaming). PostgreSQL at scale, ideally with exposure to embeddings or pgvector. Strong observability and on-call practices (metrics, tracing, alerting, incident management). Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs. Must be authorised to work in the U.S. and able to work onsite in San Francisco. Nice to Have Experience supporting ML model training and inference pipelines. Prior work with low-latency systems, voice interfaces, or recommendation engines. History as an early infrastructure owner at a Seed to Series B startup. Why This Role You'll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

We're hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You'll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You'll Do Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults. Build and maintain data pipelines for ingestion, transformation, and model training. Partner with AI/ML teams to deploy and monitor inference and evaluation services in production. Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads. Own CI/CD workflows and environment hygiene using GitHub Actions or similar. Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response). Drive cost-efficient scaling while maintaining performance and uptime across systems. Collaborate cross-functionally to ensure infrastructure aligns with product and ML goals. What We're Looking For 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership. Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation). Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML). Proven experience with containers and orchestration (Docker, Kubernetes, or ECS). Hands-on experience designing and maintaining data pipelines (batch or streaming). PostgreSQL at scale, ideally with exposure to embeddings or pgvector. Strong observability and on-call practices (metrics, tracing, alerting, incident management). Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs. Must be authorised to work in the U.S. and able to work onsite in San Francisco. Nice to Have Experience supporting ML model training and inference pipelines. Prior work with low-latency systems, voice interfaces, or recommendation engines. History as an early infrastructure owner at a Seed to Series B startup. Why This Role You'll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

We're hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You'll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You'll Do Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults. Build and maintain data pipelines for ingestion, transformation, and model training. Partner with AI/ML teams to deploy and monitor inference and evaluation services in production. Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads. Own CI/CD workflows and environment hygiene using GitHub Actions or similar. Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response). Drive cost-efficient scaling while maintaining performance and uptime across systems. Collaborate cross-functionally to ensure infrastructure aligns with product and ML goals. What We're Looking For 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership. Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation). Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML). Proven experience with containers and orchestration (Docker, Kubernetes, or ECS). Hands-on experience designing and maintaining data pipelines (batch or streaming). PostgreSQL at scale, ideally with exposure to embeddings or pgvector. Strong observability and on-call practices (metrics, tracing, alerting, incident management). Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs. Must be authorised to work in the U.S. and able to work onsite in San Francisco. Nice to Have Experience supporting ML model training and inference pipelines. Prior work with low-latency systems, voice interfaces, or recommendation engines. History as an early infrastructure owner at a Seed to Series B startup. Why This Role You'll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

We're hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You'll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You'll Do Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults. Build and maintain data pipelines for ingestion, transformation, and model training. Partner with AI/ML teams to deploy and monitor inference and evaluation services in production. Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads. Own CI/CD workflows and environment hygiene using GitHub Actions or similar. Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response). Drive cost-efficient scaling while maintaining performance and uptime across systems. Collaborate cross-functionally to ensure infrastructure aligns with product and ML goals. What We're Looking For 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership. Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation). Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML). Proven experience with containers and orchestration (Docker, Kubernetes, or ECS). Hands-on experience designing and maintaining data pipelines (batch or streaming). PostgreSQL at scale, ideally with exposure to embeddings or pgvector. Strong observability and on-call practices (metrics, tracing, alerting, incident management). Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs. Must be authorised to work in the U.S. and able to work onsite in San Francisco. Nice to Have Experience supporting ML model training and inference pipelines. Prior work with low-latency systems, voice interfaces, or recommendation engines. History as an early infrastructure owner at a Seed to Series B startup. Why This Role You'll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

We're hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You'll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You'll Do Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults. Build and maintain data pipelines for ingestion, transformation, and model training. Partner with AI/ML teams to deploy and monitor inference and evaluation services in production. Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads. Own CI/CD workflows and environment hygiene using GitHub Actions or similar. Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response). Drive cost-efficient scaling while maintaining performance and uptime across systems. Collaborate cross-functionally to ensure infrastructure aligns with product and ML goals. What We're Looking For 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership. Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation). Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML). Proven experience with containers and orchestration (Docker, Kubernetes, or ECS). Hands-on experience designing and maintaining data pipelines (batch or streaming). PostgreSQL at scale, ideally with exposure to embeddings or pgvector. Strong observability and on-call practices (metrics, tracing, alerting, incident management). Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs. Must be authorised to work in the U.S. and able to work onsite in San Francisco. Nice to Have Experience supporting ML model training and inference pipelines. Prior work with low-latency systems, voice interfaces, or recommendation engines. History as an early infrastructure owner at a Seed to Series B startup. Why This Role You'll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

**** No 3rd party resumes or C2C**** Systems Engineer (Microsoft Engineer) Pay Rate: $60-65/hr. ($125-130K when Direct-hire) Full-time hours each week Duration: 6 month contract-to-hire Benefits offered Hybrid Schedule: 2 days a week onsite, 3 days remote. Location: St. Louis, MO ****Top Skills: Microsoft 365 environment-specifically Exchange, SharePoint, OneDrive, Teams Job Summary The Systems Microsoft Engineer will design, implement, manage, and support the organization's Microsoft 365 environment-specifically Exchange, SharePoint, OneDrive, Teams, and related compliance/governance tools. This role ensures high performance, security, and user adoption across the digital workplace. The engineer will handle daily administration, ticket requests, technical troubleshooting, data governance, analytics reporting, and serve as a subject matter expert during major incidents. Collaboration with IT, Security, Communications, and end users is key, along with providing training and guiding the business on best practices and new features. Must-Have Skills & Experience Strong knowledge and hands-on administration of Microsoft 365(SharePoint, OneDrive, Teams, Exchange, compliance/governance). Advanced expertise in SharePoint, OneDrive, and Teams. Proficiency in PowerShell scripting for automation and administration. Experience managing users, groups, policies, and cloud storage in Microsoft 365. Solid understanding of security best practices and compliance requirements (data retention, classification, governance). Strong troubleshooting and diagnostic skills. Experience working in hybrid cloud environments. Nice to Have / Preferred (Not essential but helpful) Experience with Microsoft Entra, Purview, Defender. Experience with Microsoft Copilot or other AI productivity tools. Familiarity with data security tools like Varonis, Egnyte, Sentra. Microsoft certifications (MS-900, MS-700, MS-203, MD-102, MS-102). SAFe certifications.

The Systems Engineer III (Electronics) is responsible for developing advanced controls for heat pump, electric, and gas water heaters. This position will focus on IoT and connected devices, developing green products, and energy transfer and storage to continuously improve our controls and customer experience. This is a key position on the electronic controls team within Rheem's Advanced Technology Integration organization, providing advanced technologies and systems solutions for Rheem's Water Heating and Air Conditioning business unit. This position will serve our Enterprise Division, located in Ft. Smith, AR, Lewisville, TX, or San Antonio, TX (Onsite). Responsibilities Define / Develop advanced control architectures and requirements for heat pump, gas, electric and combi water, and space heaters. Provide technical leadership in the controls space for the product development team. Participate in developing system engineering processes and quality criteria. Work collaboratively to develop and extend system architecture and design for electronic controller applications. Develop design concepts or models, supervise prototyping, and conduct performance testing to determine feasibility of concepts. Actively engage with software, hardware, test, and product development teams over the entire product life cycle to ensure that system engineering work products are planned, documented, and completed. Define / Perform verification and validation activities to support product development and launch. Support manufacturing engineering and suppliers by participating in product test procedure and control documentation development. Work closely with customer service team to support product and controller training. Qualifications Bachelor's degree in Engineering (Systems, Electrical, Computer, or Mechanical discipline) 5+ years of experience in the development of embedded microprocessor-based controls. An innovative solution-first spirit and an ability to think creatively. High technical aptitude Able to work with cross-functional teams (e.g., product managers, engineers, business teams) and external subject matter experts Experience architecting and developing electronic controls for Water Heating and / or HVAC equipment Experience with System Requirements Documentation, Requirements Traceability, and Test Case development and execution. Experience with Functional Safety (e.g., IEC 61508, ISO26262) or Agency Certification Requirements (e.g., UL 60730, UL 174, etc.) Experience with product and component level FMEAs Experience with real time embedded systems over the entire product lifecycle. Knowledge of one or more of: WiFi, Bluetooth, cellular communication, Ethernet, IoT Passionate about building and owning innovative, customer facing services/products. Great presentation and communication skills Proficient computer skills and in-depth knowledge of relevant software such as MS Office Suite. Preferred Qualifications Master's degree in Engineering or related field. HVAC / Water Heating industry experience preferred. Gas Appliance Experience Electronics Design and/or Manufacturing Experience Embedded Firmware or Software Experience Quality / Reliability Experience Automated Test Development Experience #DICE About Us At Rheem, we are dedicated to bringing comfort to people's lives. As a leading global manufacturer of heating, cooling and water heating equipment, we are innovating all-new ways to deliver just the right temperature while saving energy, water and supporting a more sustainable future. It is an exciting challenge that requires a team of talented, passionate people with a diverse set of skills. From engineers to accountants, sales professionals to support experts, Rheem depends on people to power our innovations. Join Rheem, and help shape the future of products that impact lives-every day. Our Behavior Based Values Set Us Apart Listening to Understand - Open mind, learning from others, accepting feedback, embracing the objective Contributing Respectfully - Sharing opinions, valuing ideas, sharing opposing perspectives with respect Thinking Creatively - Applying creativity, seeking improvements, understanding from the customers' lens Acting with Responsibility - Owning decisions and actions, acting with integrity, embracing accountability Rheem is an Equal Opportunity Employer. Rheem encourages all qualified candidates to apply, including those of any race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The job description above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Equivalent combination of education, experience, and skills may supplement above minimum job requirements. For U.S. Based jobs, please note that Rheem is unable to hire candidates to be employed in the following states: Alaska, District of Columbia, Hawaii, Idaho, Mississippi, Montana, New Mexico, North Dakota, or Vermont. Rheem and its subsidiaries do not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee.

A dynamic organization is looking for an experienced IT Support Engineer to take ownership of local support operations while partnering with global teams. This role is perfect for someone who thrives in a fast-paced environment, enjoys solving complex technical challenges, and is passionate about improving systems through automation. What You'll Do: • Provide onsite and remote support for hardware, software, and collaboration tools • Troubleshoot advanced issues across Windows, Microsoft 365, and networking • Manage onboarding/offboarding, provisioning, and access control • Maintain Windows 11, M365 apps, and endpoint devices • Support conference room AV systems • Build automation scripts (PowerShell, Python, Bash) • Serve as an escalation point and mentor junior staff • Maintain documentation and knowledge articles • Handle service requests in line with SLAs • Coordinate with vendors and collaborate with regional/global IT teams • Support security, patching, and compliance efforts • Contribute to ongoing automation and process-improvement projects What We're Looking For: 4-7 years of corporate IT support experience Strong proficiency with Microsoft 365, Azure AD, Intune, and Windows 11 Solid scripting/automation skills (PowerShell, Bash, Python) Strong troubleshooting, communication, and mentoring skills Knowledge of networking fundamentals and endpoint security tools Relevant certifications (Microsoft, Azure, ITIL, Network+/Security+) are a plus

Join The #1 Furniture Company-Join The #1 Furniture Brand Ashley Furniture Industries, Inc. is the largest manufacturer of furniture in the world. Established in 1945, Ashley offers one of the industry's broadest product assortments to retail partners in 123 countries. Position Summary Ashley seeks a Staff AI Engineer to join Ashley Furniture and lead the technical architecture of our agentic AI platform while remaining hands-on with critical implementations. You'll define how we build autonomous AI agent systems that operate across our supply chain, manufacturing, and retail domains, setting technical standards that enable the team to ship production features rapidly and reliably. Key Responsibilities Technical Leadership & Architecture: Define the technical strategy for our agentic AI platform. Design system architectures that support complex multi-agent workflows, real-time decision making, and seamless integration across supply chain and commerce systems. Make key technology choices that impact company trajectory. Cross-Domain System Design: Architect AI systems that span Ashley Furniture's supply chain optimization, manufacturing intelligence, and retail experiences. Design unified data models and APIs that enable agents to reason across inventory, demand forecasting, production scheduling, and customer behavior. Advanced Agent Development: Build sophisticated AI agents that handle complex, multi-step reasoning across business domains. Implement advanced patterns for tool use, multi-agent coordination, and human-in-the-loop controls for enterprise deployments. Platform & Infrastructure: Lead development of our core AI platform that enables rapid deployment of new agentic workflows. Build robust foundations for prompt management, model evaluation, observability, and cost optimization across multiple LLM providers. Team & Process Leadership: Mentor engineers and establish engineering practices that enable high-velocity feature development. Lead technical discussions, architecture reviews, and cross-functional collaboration with product and business teams. Strategic Technical Decisions: Evaluate and integrate emerging AI technologies, frameworks, and methodologies. Make build-vs-buy decisions for critical infrastructure components. Drive adoption of new capabilities like Model Context Protocol and advanced reasoning patterns. Qualifications Deep AI/ML systems expertise: Extensive experience building production AI systems at scale. Deep understanding of LLM architectures, fine-tuning, prompt engineering, and agent orchestration frameworks. Experience with both traditional ML and modern LLM-based systems. Systems architecture experience: You've designed and built complex distributed systems that handle high-throughput, low-latency requirements. Experience with microservices, event-driven architectures, and real-time data processing. Domain expertise in operations: Strong understanding of business operations and data workflows. You can translate complex business requirements into scalable technical solutions and understand the operational constraints that impact system design. Technical leadership track record: Experience leading technical teams, driving architectural decisions, and establishing engineering standards. You've successfully guided teams through technical challenges and scaling decisions. Full-stack capabilities: Comfortable working across the entire technology stack from infrastructure to user interfaces. Experience with Python and cloud platforms (AWS, Azure, GCP). Advanced LLM expertise: Deep experience with LLM architectures, fine-tuning, post-training, prompt engineering, and context engineering for optimal retrieval. Experience building production systems that leverage multiple LLM providers. Vision and multimodal systems: Extensive experience with vision models, computer vision, and multimodal AI systems. Experience building generative applications such as virtual furniture placement, room visualization, and spatial understanding systems that combine visual and textual understanding. Agent integration expertise: Experience with Model Context Protocol (MCP) implementations and agent-to-agent communication patterns. Understanding of multi-agent coordination and workflow orchestration. Nice To Have Deep understanding of multi-modal AI, tool use patterns, and agentic workflow design Background in real-time optimization, scheduling, or recommendation systems Experience building AI infrastructure platforms used by other engineers Apply today and find your home at Ashley! Benefits We Offer Health, Dental, Vision, Employee Assistance Program Paid Vacation, Holidays, and Your Birthday off Generous Employee Discount on home furnishings Professional Development Opportunities Ashley Wellness Centers (location specific) and Medical Tourism Telehealth 401(k) and Profit Sharing Life Insurance Our Core Values Honesty & Integrity Passion, Drive, Discipline Continuous Improvement/Operational Excellence Dirty Fingernail Growth Focused To learn more about Ashley Furniture, our community engagement programs, environmental stewardship, and our core values, please visit our Corporate Social Responsibility information page: Corporate Social Responsibility We are an equal opportunity employer and provide a drug-free working environment. While Ashley appreciates the interest of all candidates only those meeting specific position requirements may be contacted. Principals Only.

Senior IoT Engineer (R&D) $130-150k base salary Davis, CA We're partnered with an industry leader in the utility-scale solar digitization and automation space, who are currently going through some exciting growth in their IoT and are looking for an experienced Snr IoT R&D Engineer to join their team in Davis, CA. The IoT R&D Engineer will be leading on the design, development and prototyping of IIoT products that will provide critical infrastructure for construction automation in the solar sector, and then working closely with cross-functional teams to develop integrated hardware and software systems. The role will work closely with the IoT Director to define project scopes, working with the product managers to turn requirements into technical solutions, and providing technical mentorship to junior technicians and engineers internally. Key skills & experience: Demonstrable experience as a professional in the hardware product development space, preferably in a start-up or R&D environment This is a hands-on role that will be focused ‘tinkering' with a lot of new products/ideas - would be good to have experience with RF, GPS, Vision (Cameras, Optics & Lighting), and systems integration Should have a good understanding of fabrication technologies, power delivery systems, and electrical troubleshooting techniques Looking for someone with good CAD experience Looking for someone with a broad/generalist background who has experience across the entire product development process - open to applicants from a Solar, Construction, or Industrial background This role will be working onsite in Davis, CA. Interested? Apply now or send a copy of your resume to ***************************

Our client is looking to add an Infrastructure Engineer to their IT organization. With a focus on endpoint services management, this individual will be responsible for building, implementing, and maintaining the infrastructure to proactively manage endpoint devices, maximizing availability, and improving user experiences. Key Responsibilities Deliver second and third-level support for Azure AD joined Windows 11 devices managed through Microsoft Intune/Autopilot, utilizing remote support tools such as Microsoft TeamViewer and Ninja One for system and application issues, particularly with Microsoft Office 365 Suite Apps (Teams, Outlook, Excel) and Zoom Services (Rooms, Meetings, Phones), including the process of vendor escalation. Design, implement, and manage a patch management process for Azure AD joined Windows 11 devices using Microsoft Intune and Ninja RMM. The ideal candidate will be capable of designing, prototyping, and testing a zero-touch automation process using Restful API, PowerShell, Python, and orchestration tools like Okta Workflows. This process should utilize data from IT infrastructure (Fortinet FortiClient), ITSM platforms, and external patch management databases, integrating communication with users through email (Office365/Exchange Online) and Microsoft Teams. Job Requirements Bachelor's degree in information technology, Computer Science, or a related field. Minimum 3 years of experience in IT infrastructure support and administration, focusing on endpoint management using Microsoft Intune. Strong knowledge of Microsoft Intune, Apple Business Manager, and ITIL v3+ service operations concepts. Familiarity with Fortinet FortiGate, Cisco Switches for LAN access, and Meraki Wi-Fi systems. Experience with Microsoft Office 365, Google Workspace, Azure services, and Microsoft Network Services.

About the Company AMD is searching for a Mixed Signal Model Verification Engineer for a 1-year project (possible extension) at their beautiful office in Santa Clara, CA. This is an onsite, W2 position. About the Role We are seeking a detail-oriented mixed signal model engineer to verify behavioral models written in SystemVerilog, both logic and real number. It will involve writing constraints and stimulus for CAD tools to run equivalence check against the schematic. It is required to read and understand the mixed signal circuit schematic to debug any mismatch between behavioral model and circuit transistor-level behavior. Modification to the behavioral models to make it equivalent to the mixed signal circuit is expected. Responsibilities Extensive experience in modeling mixed signal circuits in SystemVerilog, including real number modeling Strong understanding of HDL/SPICE co-simulations Strong understanding of custom circuit schematic Strong background in analog integrated circuit design Proficiency in RTL design languages like SystemVerilog Experience with formal equivalence checking tools like ESP Qualifications Required Must Have Skills Extensive experience in modeling mixed signal circuits in SystemVerilog, including real number modeling Strong understanding of HDL/SPICE co-simulations Strong understanding of custom circuit schematic Strong background in analog integrated circuit design Proficiency in RTL design languages like SystemVerilog Experience with formal equivalence checking tools like ESP

Join The #1 Furniture Company-Join The #1 Furniture Brand Ashley Furniture Industries, Inc. is the largest manufacturer of furniture in the world. Established in 1945, Ashley offers one of the industry's broadest product assortments to retail partners in 123 countries. Summary Senior AI Engineer Ashley Furniture Industries is the world's largest furniture manufacturer and a leader in furniture manufacturing, extensive global distribution, transportation, and multi-channel retail. Our core values combined with our growth values of a Culture of Leadership, Customer Centricity, and Boundaryless collaboration, drive our relentless pursuit of innovation and operational excellence. Position Summary Ashley seeks a Senior AI Engineer to join Ashley Furniture and build production-ready agentic systems that transform how we operate across our supply chain, manufacturing, and retail experiences. You'll design and ship AI agents that make autonomous decisions, optimize complex workflows, and deliver measurable business impact. This isn't about training models in isolation-you'll build complete systems that our customers and operations teams rely on daily. Key Responsibilities Build Agentic Systems: Design and implement AI agents that handle complex, multi-step workflows across various business domains. Create agents that can reason about data patterns, make autonomous decisions, and coordinate with other systems to achieve business objectives. Develop AI-Powered Solutions: Build intelligent systems that understand user preferences and business constraints. Implement MCP servers and clients that enable LLMs to interact seamlessly with various platforms and data sources. Ship Production Features: Own the full development lifecycle from prototype to production deployment. Build robust systems that handle thousands of daily interactions with proper error handling, monitoring, and human-in-the-loop controls for critical decisions. Integrate with External Systems: Design and maintain integrations with various business platforms and data sources. Build reliable data pipelines that feed real-time information to AI agents. Optimize for Performance and Scale: Ensure AI systems can handle enterprise-scale workloads with sub-second response times. Implement efficient vector search, caching strategies, and asynchronous processing for high-throughput scenarios. Qualifications Hands-on experience with modern AI frameworks: Proficiency with LangChain, LangGraph, or similar agent orchestration frameworks. Experience building RAG systems with vector databases (Pinecone, Weaviate, Chroma). Production system expertise: You understand how to build reliable, scalable systems. Experience with Python and cloud platforms (AWS, Azure, GCP). Familiarity with API design, message queues, and distributed systems. Domain knowledge: Understanding of business operations and data workflows. You can translate business requirements into technical solutions. LLM integration experience: Experience working with OpenAI, Anthropic, or other LLM APIs. Understanding of prompt engineering, context engineering for optimal retrieval, and multi-modal capabilities. Experience with fine-tuning or post-training of language models. Vision and multimodal AI expertise: Experience with vision models and multimodal systems for image recognition and generation. Familiarity with generative use cases such as virtual furniture placement, room visualization, and computer vision applications for spatial understanding. Agent integration expertise: Experience with Model Context Protocol (MCP) implementations and agent-to-agent communication patterns. Understanding of multi-agent coordination and workflow orchestration. Nice to Have Previous work on recommendation systems or personalization engines Familiarity with real-time systems and event-driven architectures Apply today and find your home at Ashley! Benefits We Offer Health, Dental, Vision, Employee Assistance Program Paid Vacation, Holidays, and Your Birthday off Generous Employee Discount on home furnishings Professional Development Opportunities Ashley Wellness Centers (location specific) and Medical Tourism Telehealth 401(k) and Profit Sharing Life Insurance Our Core Values Honesty & Integrity Passion, Drive, Discipline Continuous Improvement/Operational Excellence Dirty Fingernail Growth Focused To learn more about Ashley Furniture, our community engagement programs, environmental stewardship, and our core values, please visit our Corporate Social Responsibility information page: Corporate Social Responsibility We are an equal opportunity employer and provide a drug-free working environment. While Ashley appreciates the interest of all candidates only those meeting specific position requirements may be contacted. Principals Only.

The Senior Project Engineer is responsible for planning, developing, coordinating, and managing engineering activities for multiple construction projects. This role provides technical expertise and project oversight, ensuring that all administrative and engineering aspects align with project goals. Working closely with internal teams and external partners, the Senior Project Engineer plays a critical role in optimizing processes, ensuring regulatory compliance, and maintaining alignment between project plans and on-site execution. This position supports multiple concurrent projects while gradually taking on leadership responsibilities, with the potential for career advancement into a management role. Essential Duties and Responsibilities: · Participate in and support up to 10 concurrent projects. · Collaborate with internal teams and external partners to ensure project success. · Provide regular updates to clients on project status, timelines, and key developments. · Develop, implement, and optimize processes to improve efficiency and productivity. · Lead and mentor team members, facilitating knowledge transfer and professional growth. · Work closely with field employees to ensure alignment between project plans and on-site execution. · Monitor the work of the engineering firm, providing direction and ensuring alignment with project goals and timelines. · Assist in budgeting, scheduling, and resource allocation. · Ensure compliance with industry regulations, company policies, and safety standards. · Coordinate material procurement, supplier relationships, and quality control efforts. · Analyze data and generate reports to support informed decision-making. · Gradually take on more leadership responsibilities with the potential to transition into a management role. Requirements: · Strong problem-solving skills and the ability to work independently. · Experience working on multiple projects simultaneously. · Excellent communication, interpersonal, and leadership skills. · Ability to learn quickly and adapt to evolving responsibilities. · Strong organizational and time-management skills. Education and Experience: · Bachelor's degree in Engineering, Construction Management, or a related field. · 2-3 years of experience in construction management. · Experience with advanced reporting and analytics tools (Power BI, SQL, Python, etc.) is a plus. · Previous leadership or mentorship experience is a plus. Candidates who accept an offer of employment are required to undergo and successfully complete a pre-employment physical examination. This exam ensures that all potential employees meet the necessary health and fitness standards for the role. The examination includes a series of tests and evaluations conducted by a certified medical professional to assess overall physical health, identify any potential medical conditions that could interfere with job performance, and verify that the candidate is capable of safely performing the essential duties of the position. Completion and clearance of this physical are mandatory steps in the hiring process.

The Project Engineer in this role is responsible for planning, developing, coordinating, and managing onsite construction engineering activities for large, extensive projects in the heavy civil/power construction industry, encompassing grading, clearing, and site development. Essential Duties and Responsibilities: Track project quantities Generate project billing. Initiate and negotiate change orders. Generate CAD drawings and present solutions to owners for design problems that arise in the field. Review plan changes Assist with work plans. Assist with project schedules. Manage submittal data. Manage material purchase orders. Manage and negotiate subcontracts. Assist in division field personnel management. Assist field personnel in any capacity to handle any problems that may arise. Work with Project Superintendents, Foreman, and Crews to perform work more effectively. Attend pre-construction meetings. Requirements: Must be willing to relocate. Strong organizational skills Strong work ethic Able to multitask and work independently under pressure and tight deadlines. Education and Experience: Four-year engineering degree or equivalent technical training and related experience Excellent communication and interpersonal skills Demonstrated ability to manage a team of varied disciplines. Candidates that accept an offer of employment are required to undergo and successfully complete a pre-employment physical examination. This exam is essential to ensure that all potential employees meet the necessary health and fitness standards for the role. The examination includes a series of tests and evaluations conducted by a certified medical professional to assess overall physical health, identify any potential medical conditions that could interfere with job performance, and verify that the candidate is capable of safely performing the essential duties of the position. Completion and clearance of this physical are mandatory steps in the hiring process.

CMP Services seeks an Project Engineer I - Sustainability to support LACCD at Los Angeles Community Collage District program. Provide technical and engineering support to the Project Managers and Construction Managers. Coordinates with Architect for timely and accurate responses to requests for information. Responsible for the maintenance and distribution of current contract plans and specifications. Confirms contractor's maintenance of record drawings prior to monthly progress payments to the Contractor. Makes field checks on construction, demolition, rehabilitation, alteration addition or repair projects to determine compliance with job specifications, plans, established College standards, and Division of the State Architect (DSA) Requirements. Documents progress of construction, demolition, rehabilitation, alteration addition or repair projects, logging photographs, daily project reports and notes as required. Assists in preparing written materials including correspondence, reports, procedures, and guide lines. Logs and tracks status of project change order proposals, field orders, and approved change orders. Maintains project files and record drawings. Logs and reviews submittals for conformance to plans and specifications. Assists in coordinating and recording minutes of meetings with project stakeholders. Assists in review of submittal procedures, RFI's and monthly invoices. Performs other project support duties as directed. Required Experience: Minimum of 3 years' experience in a similar or equivalent position involved in project or construction management of commercial and/or public or educational facility construction projects with values in excess of $15M BS/BA Degree in Engineering, Architecture, Business, Construction Management or related field required. Preferred Qualifications: Experience utilizing Building Information Modeling (BIM) Experience with Leadership in Energy and Environmental Design (LEED) certified projects and/or the Collaborative for High Performing Schools (CHPS) Experience with Division of the State Architect (DSA) construction/design process

The Project Engineer in this role is responsible for planning, developing, coordinating, and managing onsite construction engineering activities for large, extensive projects in the heavy civil/power construction industry, encompassing grading, clearing, and site development. Essential Duties and Responsibilities: Track project quantities Generate project billing. Initiate and negotiate change orders. Generate CAD drawings and present solutions to owners for design problems that arise in the field. Review plan changes Assist with work plans. Assist with project schedules. Manage submittal data. Manage material purchase orders. Manage and negotiate subcontracts. Assist in division field personnel management. Assist field personnel in any capacity to handle any problems that may arise. Work with Project Superintendents, Foreman, and Crews to perform work more effectively. Attend pre-construction meetings. Requirements: Must be willing to relocate. Strong organizational skills Strong work ethic Able to multitask and work independently under pressure and tight deadlines. Education and Experience: Four-year engineering degree or equivalent technical training and related experience Excellent communication and interpersonal skills Demonstrated ability to manage a team of varied disciplines. Candidates that accept an offer of employment are required to undergo and successfully complete a pre-employment physical examination. This exam is essential to ensure that all potential employees meet the necessary health and fitness standards for the role. The examination includes a series of tests and evaluations conducted by a certified medical professional to assess overall physical health, identify any potential medical conditions that could interfere with job performance, and verify that the candidate is capable of safely performing the essential duties of the position. Completion and clearance of this physical are mandatory steps in the hiring process.