Operations Engineer jobs at Gulfstream Aerospace

Staff AI Engineer Base Salary Range: $225,000-$300,000 + Equity A well-funded technology company in the autonomous driving and software-defined vehicle space is seeking a Staff AI Engineer to help drive next-generation AI capabilities across their platform. This role is ideal for senior engineers who excel at building end-to-end AI systems and want to work on impactful, real-world applications at scale. Responsibilities Lead development of AI-driven software solutions to address complex challenges in autonomous systems and vehicle software Apply deep expertise in LLMs, agentic frameworks, RAG pipelines, data engineering, and evaluation methodologies Own the full lifecycle of data and model development Including modeling, training, tuning, validating, deployment, and long-term maintenance Perform data analysis to extract insights and support decision-making across multiple domains Collaborate with cross-functional engineering, product, and research teams to translate requirements into effective AI solutions Document and clearly communicate architecture, design decisions, and interfaces to internal stakeholders We look forward to your application!

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.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

TITLE: FACILITIES ENGINEER FLSA STATUS: EXEMPT REPORTS TO: SR. MANAGER OF FACILITIES Under the direction of the Sr. Manager of Facilities Maintenance, the Facilities Engineer is responsible for the providing mechanical engineering support for all HVAC or other industrial equipment, including design, layout, or modification of new or existing systems; managing facilities projects or programs of various scope, schedule, and budget such as new building construction or repair, new/upgraded tool or equipment installation, etc.; developing, updating, and reporting various energy, water, or CO2 consumption or emission reports; preparing and updating all building layout diagrams using Computer Aided Design (CAD) software. This position is located in Milpitas, California. ESSENTIAL FUNCTIONS: Administers, maintains, and supports all HVAC or other industrial equipment, including the installation, design, layout, and modification of new or existing systems Responsible for maintaining building management and environmental treatment systems Manages facilities projects or programs of various scope, schedule, and budget, including new building construction or repair, new/upgraded tool or equipment installations, etc., ensures project is completed within the required timeline and budget Develops, analyzes, and reports on various performance metrics, including energy and water consumption or CO2 emissions; creates reports, charts, or graphs as needed Researches, develops, and manages programs which reduce energy consumption and emissions to ensure that environmental and safety standards are consistently met Prepares and updates all building layouts, including cubicle diagrams, emergency or evacuation routes, equipment, tool, or laboratory layouts Administers, prepares, and updates equipment Manufacturing Process Instructions (MPI's); initiates Change Control Notifications (CCN's) as needed to ensure documentation remains up-to-date Provides technical assistance or trouble-shooting guidance for building maintenance and environmental management software applications Responds to requests from employees and departments regarding facilities-related issues or support Adheres to all safety policies and procedures as required Performs other duties of a similar nature or level* Job Qualifications MINIMUM QUALIFICATIONS: Bachelor's degree in Electrical, Industrial, or Mechanical Engineering and/or equivalent relevant experience Two years of experience working in building management, construction, or facilities in a manufacturing environment Experience using environmental, electrical, or industrial controls systems Experience using AutoCAD, Autodesk, and BACnet building and environmental management application as well as Automated Logic Control (ALC) and KMC Controls Proficient in the use of Microsoft Office Applications Knowledge, Skills, and Abilities: Knowledge and ability to provide engineering support for HVAC or other industrial systems Knowledge and ability to use Autodesk or AutoCAD to create, update, and maintain building layouts and designs Knowledge of HVAC systems, automation, and environmental controls Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations Able to communicate effectively, both verbally and in writing, with all levels of contractors, consultants, employees, and management Able to work productively and collaboratively with all levels of employees and management Able to comply with all safety policies and procedures Able to analyze data, create reports, and present findings or recommendations Demonstrated organizational and time management skills Demonstrated project or process management skills Demonstrated problem-solving and trouble shooting skills Demonstrated analytical and critical thinking skills Flexible and able to prioritize The annual base salary for this full-time position is between $120,819.00-$177,675.00 + bonus target + benefits. Within the range the individual pay may differ depending on additional factors including job responsibilities, job related knowledge, skills, abilities, education, and experience. The annual base pay range shown is subject to change and may be modified periodically. WORKING CONDITIONS: The Facilities Engineer works primarily in an office environment from Monday thru Friday. The schedule may be altered from time-to-time to meet business or operational needs; may travel from building-to-building as needed. May occasionally work outdoors; may work in a class 100 ESD sensitive wafer manufacturing facility; wears a cleanroom (bunny) suit, including hood, gloves, safety glasses, booties, and mask. May be exposed to hazardous conditions, chemicals, fumes, and/or gases during the course of work day; may be exposed to loud noise. may work in close proximity to moving mechanical parts. Stands and walks, bends and twists, and crawls. Performs various fine grasping movements; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment. May occasionally push, pull, or lift up to 30 pounds.

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. 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.

Within our Tracy manufacturing facility, Leprino Foods is seeking a Senior Plant Project Engineer to support and enhance the plant's cheese and dairy ingredient operations! We take pride in our vision to be “world's best,” which drives us to work hard, invest wisely, and consistently improve the systems that keep our plant running safely and efficiently. At Leprino, starting compensation for this role typically ranges between $114,000 and $140,000. This position has an annual target bonus of 12%. WHAT YOU'LL DO: Lead plant capital projects from concept through startup, including design, equipment selection, construction, installation, and commissioning. Develop complete Authorization for Expenditure (AFE) packages with accurate project scopes, cost estimates, budgets, and timelines. Write and review specifications, layouts, technical drawings, and installation plans while ensuring the work complies with applicable regulatory and engineering standards. Coordinate project activities with production and maintenance schedules to minimize operational disruption. Partner with plant maintenance, operations, controls, and corporate Technical Services to ensure project designs support reliability, sanitation, safety, and long-term performance. Supervise contractors, consultants, and construction teams, inspecting completed work for quality, accuracy, and compliance. Prepare and update mechanical, electrical, and process documentation-including AutoCAD drawings, P&IDs, and equipment files-for all assigned projects. Evaluate opportunities to improve utilities, process efficiency, repair/maintenance access, and equipment reliability through thoughtful engineering design. Provide technical support to the plant by assisting with troubleshooting, root-cause analysis, and recommendations for systems or equipment upgrades. Maintain project documentation, reports, and communication with clarity and consistency to ensure all stakeholders remain aligned. YOU HAVE AT LEAST (REQUIRED QUALIFICATIONS): Bachelor's degree in mechanical, chemical, electrical, industrial engineering, or a related technical field; or equivalent experience in food manufacturing. Five or more years of experience leading capital projects in a manufacturing plant, including developing scopes, budgets, and timelines. Experience owning capital projects up to approximately $6 million in value, from concept through commissioning. Hands-on experience coordinating contractors, construction crews, or fabricators during equipment installation or system upgrades. Working knowledge of plant utility or automated systems such as PLCs, HMIs, steam, refrigeration, or compressed air. Proficiency in Microsoft Word, Excel, PowerPoint, Project, and basic AutoCAD (layouts, P&IDs, or equipment drawings). WE HOPE YOU ALSO HAVE (PREFERRED QUALIFICATIONS): A master's degree in an engineering or technical field. Prior experience in dairy, cheese, beverage, or other sanitary food processing environments. Advanced CAD capabilities and familiarity with sanitary design principles. Experience supporting or coordinating capital projects within a food production facility, including utilities such as ammonia refrigeration, boilers/steam, compressed air, and CIP systems. At Leprino, we believe in equal employment opportunity and make employment decisions based on each individual's unique talents, experience, skills, and knowledge; we do not discriminate on the basis of any personal characteristics. We know we are better together and are committed to creating an inclusive and supportive culture in which all employees can thrive. OFFERING YOU IN RETURN: A chance to be part of a global team of individuals passionate about producing and delivering high-quality products that help feed and nourish families around the world. Leprino could not be where it is today without our incredible employees. That is why we share in our success together by rewarding you for your hard work. Hiring great people who are in it for the long run is our goal. Through competitive salaries and bonuses, life, medical/dental/vision coverage, voluntary benefits, employee assistance programs, wellness incentives, tuition assistance, vacation, ten paid holidays, sick time, paid parental leave, annual merit increases, as well as the LFC Profit-Sharing & 401(k) plan. Your impact will be noticed and rewarded, as you seek to further our company, our customers, and one another. OUR STORY: Leprino's history dates back to the 1950s, when Jim Leprino first started making small batches of mozzarella for local markets and eateries in the Little Italy neighborhood of Denver. We've grown a bit since then. Today, Leprino is the world's largest manufacturer of mozzarella and lactose, and a leading producer of whey protein. Still owned by the Leprino family, our sights are set to be the “World's Best Dairy Food and Ingredient Company.” From a small corner grocery store we have grown to over 5,500 employees throughout the globe. Will you join us on our journey? The “Easy Apply” option through LinkedIn is not considered an official application with Leprino Foods. If you would like to formally apply for this position, please visit careers.leprinofoods.com

The Azure Integration Engineer is responsible for designing, developing, and maintaining Reddy Ice's enterprise integration solutions across Azure services, ensuring secure, scalable, and high-quality data movement between ERP, CRM, operational systems, third-party providers, and our enterprise data platforms. This role develops cloud-first integrations using Azure Data Factory, Azure Functions, Azure Logic Apps, Azure Storage, Azure Databricks, and related platform components. The role ensures always-on, predictable, and transparent data flows supporting business operations, analytics, D365 transformation programs, and the broader AI-Reddy roadmap. This position collaborates closely with business stakeholders, developers, enterprise architects, and data engineering teams to deliver resilient, automated, and well-governed integrations. The Azure Integration Engineer embodies Reddy Ice's “True North” attributes: voice of the customer, respect for the individual, no-nonsense communication, fact-based decision-making, servant leadership, and continuous improvement. The role leads and participates in Lean activities (A3, VSM, Kaizen) to drive end-to-end operational excellence. DUTIES & RESPONSIBILITIES Azure Integration & Automation Design, build, and maintain integration pipelines using Azure Data Factory (ADF), Azure Databricks, Azure Functions, Azure Logic Apps, and Azure Event-based solutions (Event Hub, Service Bus). Build scalable ingestion and transformation flows across cloud and on-prem systems, ensuring high performance and secure movement of structured and unstructured data. Implement end-to-end ETL/ELT pipelines supporting D365 F&O, D365 CE, Boomi MDH, CRM, route systems, logistics systems, and financial platforms. Develop reusable integration frameworks, parameterized pipelines, error handling, logging, retry processes, and automated monitoring dashboards. Platform Engineering & Architecture Partner with enterprise architects to evolve Azure-based data and integration platforms, supporting cloud modernization and the Reddy Ice AI and analytics strategy. Contribute to Lakehouse data models using Databricks Delta Lake and Azure Synapse Analytics. Collaborate on cloud integration strategies, including migration of legacy ETL (SSIS, Informatica, SAS) into Azure-native solutions. Data Governance, Quality & Operations Implement data validation, data quality rules, schema evolution, and automated error-detection routines. Support Azure Purview/MDM alignment by ensuring integrations meet governance, lineage, and metadata requirements. Perform root cause analysis, troubleshoot integration failures, and partner with business units to drive issues toward zero operational impact. Cross-Functional Collaboration Work with Field Operations, Finance, Supply Chain, Customer Service, DSD, Accounting, and Sales Operations to deliver reliable integrations across business-critical systems. Translate business requirements into technical integration specifications and documentation. Provide technical leadership in Agile sprint ceremonies, architecture reviews, and production release cycles. Continuous Improvement & Lean Lead and participate in Lean activities (A3s, Kaizen, VSM) to optimize integration processes, reduce cycle time, automate manual touchpoints, and improve stability. Identify opportunities to increase the adoption of automation, telemetry, and observability across integration workflows. Other Maintain highest adherence to data security, audit requirements, confidentiality, and compliance standards. Perform additional duties as assigned by management. EDUCATION AND EXPERIENCE Required Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. 5+ years of experience in data integration, ETL/ELT development, cloud engineering, or data engineering in enterprise environments. 3+ years hands-on experience with Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, Azure Functions, and Azure DevOps. Strong experience with SQL (T-SQL), Python/PySpark, data modeling, pipeline orchestration, and cloud-native ETL patterns. Experience integrating data across ERP, CRM, supply chain, or financial systems (D365 preferred). Proven ability to troubleshoot cloud pipelines and optimize performance and cost. Preferred Microsoft Azure certifications (DP-203, DP-900, Azure Data Engineer). Experience with Data Quality, MDM, and governance frameworks. Experience with Boomi, Informatica, SSIS, or legacy ETL modernization. Experience in CPG, logistics, retail, food/beverage, or distributor/co-packer environments. Soft Skills Strong communication and documentation skills. Servant-leader mindset, highly collaborative, continuous-improvement driven. Ability to operate in a fast-paced, rapidly evolving environment. SUPERVISORY RESPONSIBILITY This is an individual contributor role with no direct reports. WORKING CONDITIONS/PHYSICAL REQUIREMENTS Typical office environment, generally sedentary position using computers, calculators, phones, and other office equipment. This position works in a fast-paced, rapidly changing work environment. The ability to manage stress, build professional and collaborative relationships, and reason through complex business situations is essential. Willing to work occasional weekends when required due to live data streams or emergency ice management. Must be able to lift up to 20 pounds of file boxes for storage of data. No travel required. NON-SOLICITATION AND CONFIDENTIALITY By signing this document, I will not solicit Reddy Ice customers or employees for a period of 1 year after my employment ends. In addition, during my employment with Reddy Ice, and for a period of 1 year after my employment, I will not disclose any Confident Information (information received by Reddy Ice, whether written or oral, which is, or should be reasonably apparent from the inherent nature, quality or characteristics of such information) to anyone outside Company, and I will use and disclose Confidential Information to those inside Reddy Ice only as necessary to perform my duties as an employee of Reddy Ice.

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 ***************************

**** 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.

Project & Design Engineer (ABG) American Bath Group (ABG) is a leading manufacturer of high-quality bathing products, dedicated to innovation, craftsmanship, and customer satisfaction. With a strong portfolio of trusted brands, we provide tubs, showers, and bathware solutions designed for both residential and commercial applications. At ABG, our mission is simple: to make a positive impact on people's lives. Guided by our values of Integrity, Transparency, and Servant Leadership, we are committed to excellence, safety, and sustainability-while creating rewarding career paths in the manufacturing industry. Position Summary Reporting to the Director of Product Management & Engineering, the Project & Design Engineer - Bathware will be a key member of ABG's shared product development team. This position is ideal for someone who started as a CAD expert (2-5 years) and is now ready to grow into a broader engineering and project management role. During the first 180 days, the Project & Design Engineer will manage smaller sub-projects while still owning the CAD stage, and over time, will take on full end-to-end project ownership-from concept to launch. This role requires an innovative thinker who thrives on solving design challenges, driving collaboration, and seeing projects through to completion. Primary Responsibilities Develop and manage new bathware product designs for multiple channels in North America while maintaining brand standards and market positioning. Oversee product development from concept through launch, managing CAD, supplier coordination, prototype development, and handoff to commercial teams. Create 2D and 3D design data (sketches, renderings, CAD models, photo-realistic visualizations) for internal and external use. Participate in Voice of Customer research and industry events to understand market trends and user needs. Collaborate with Product Development, Industrial Design, and Manufacturing teams to align on design feasibility and project timelines. Support implementation of new design tools, processes, and innovation methods that enhance product development. Contribute to process improvement in Design for Manufacturability (DFM), FMEA, and stage-gate product development methodologies. Partner with manufacturing personnel, negotiate with suppliers, and participate in product validation efforts. Assist with the setup of BOMs, ECNs/ECRs, and PDM/PLM documentation as part of project management. Cultural Fit Comfortable working in dynamic, undefined environments with multiple concurrent projects. Hands-on leader who collaborates well with floor personnel, engineers, and cross-functional stakeholders. Communicates openly, transparently, and confidently with all levels of the organization. Driven to start, finish, and deliver-a self-starter who sees projects through completion. Must-Have Qualifications CAD Proficiency: Solid 3D and surface modeling experience in SolidWorks or equivalent. Self-Starter & Finisher: Proven ability to take initiative, work independently, and close out projects. Engineering Degree: Bachelor's in Industrial Design, Mechanical Engineering, or equivalent technical field. Nice-to-Have Qualifications Bathware or plumbing product design experience. Knowledge of composite manufacturing and mold/tooling design. Experience with BOM setup, ECN/ECR processes, and PDM/PLM archival systems. Education & Experience 5-10 years of experience in industrial or product design. 2-3 years of project management experience, preferably with stage-gate or structured product launch processes. Familiarity with bathware industry standards and certifications (CSA, ICC, IAPMO, FHA, ADA). Understanding of Design for Manufacturability, FMEA, and risk management methods. Experience with FEA tools a plus. Availability to travel up to 10% as needed. Why You'll Love Working Here As a Project & Design Engineer - Bathware, you'll play a direct role in shaping innovative products that define the future of ABG's brands. You'll join a collaborative, cross-functional team that values creativity, precision, and accountability-while working in a fast-paced environment that rewards initiative and ownership. Equal Opportunity Employer Statement American Bath Group (ABG) provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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 Senior Project Engineer to support LACCD at Los Angeles Community Collage District program. Provides technical skills and coordination support to the Quality Assurance/Quality Control (QAQC) Department. Coordinates with Program Management Office (PMO) staff, College Project Teams (CPT), and College staff. Participates in, and occasionally runs, QAQC meetings. Conducts field checks and site walks to verify compliance with assigned metrics related to Key Performance Indicators (KPIs) or other assessment criteria. Supports in addressing matters with the CPTs and PMO related to Standard Operating Procedures (SOPs), KPIs, and assessments. Assists in preparing written materials including correspondence, reports, procedures, and guidelines. Develops monthly project status reports for all assigned active construction projects. Reviews construction change orders and construction field orders. Reviews construction and professional services contracts. Manages data collection for status report updates, and reviews documentation as needed with CPT/PMO. Reviews project risks and coordinates with CPT to develop project status reports. Facilitates resolutions related to QAQC issues. Coordinates with CPT for timely and accurate responses to requests for information. Generates and distributes meeting minutes and maintains project files for reporting. Assist in the development of Key Performance Indicator (KPIs) Responsible for monitoring and addressing KPIs with CPT/PMO. Maintains various trending reports for assigned campus i.e. RFIs, CCDs. Assist in the development of new trending reports and attributes for assessments. Coordinates and prepare materials for CPT workshops. Assist in SOP GAP analysis. Supports and compiles data for on-going audits, as necessary. Assists in process improvement initiatives and coordination. Reviews project data for conformance to SOP and/or QAQC metrics. Other job-related duties or projects as assigned. Required Experience: 5-8 years minimum recent professional experience in a similar or equivalent position involved in project or construction. BS/BA Degree in Engineering, Construction Management, Business or related degree. Additional qualifying experience in excess to the minimum stated above may be substituted for the required education on a year for year basis. Strong organizational skills and ability to work in a fast-paced environment. Strong written and verbal communications skills. Able to travel to LACCD campuses Must have high level of interpersonal skills to handle sensitive and confidential situations and documents Must be proficient in MS Office applications such as Word, Excel, and PowerPoint. Ability to work in fast-paced environment and adhere to deadlines. Ability to take initiative and make sound decisions. Preferred Qualifications: Experience on Educational programs/projects. Experience on large public works programs. Experience with E-Builder (Trimble Unity Construct). Experience with audits.

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