Senior Staff Engineer jobs at SK Hynix

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.

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

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.

Engineering Line Lead Jubilant HollisterStier LLC, a well-established member of the business community in Spokane, Washington, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma. Jubilant HollisterStier is also a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. Jubilant HollisterStier is a proud member of the Jubilant Pharma family. Our Promise: Caring, Sharing, Growing We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions' through growth, cost effectiveness and wise investment of resources. Job Description: The CMO Engineering Line Lead position provides leadership, manufacturing support and coordination of the engineering department for the CMO line specific projects. This position ensures that contract projects, equipment functionality, compliance support, and capital expenditures are executed per Jubilant HollisterStier management initiatives, compliance guidelines, the JHS project management system, and the capital budget schedule. It is the responsibility of this position to ensure line specific compliance of the CMO equipment and team with state, local, and federal regulations. This position ensures operations and projects are carried out under adherence to GEPs and cGMPs. Responsibilities: Provide technical oversight and leadership to the engineering team roles responsible for their area of responsibilty within the CMO Business Unit. Drive technical improvements and internal/external responses to equipment and facility observations. Management of the assigned capital project schedules and budgets. Assign and oversee engineering projects including internal capital, compliance, and contract manufacturing. Coordinate and supervise engineering resources to ensure adequate and appropriate staffing for current and upcoming projects. Ensure designated area, equipment,and engineering infrastructures are compliant to local, state, federal, and international regulatory agencies. Execute high level projects from conception, consistent with upper management objectives for business growth. Manage and execute facility and equipment updates to meet company growth and economic objectives. Support client audits and technical visits. Effectively communicate project status, constraints and current or potential issues to upper management. Qualifications: BS in: Mechanical, Chemical, Electrical, Manufacturing, or similar engineering discipline 3+ years of related experience Pharmaceutical experience FDA regulated Industry experience Facility engineering experience Office (Word, PowerPoint, Excel, AutoCAD & SAP) Ability to work independently without routine instructions. Preferred Qualifications: Supervisory experience Shift: Day Compensation: The salary range for this position is $103,050 - $151,100 depending on experience. Midpoint and above is reserved for employees who have longevity with Jubilant HollisterStier and consistently exhibits outstanding performance over a period of time in the role Benefits: Medical, Dental, Vision, Flexible Spending and Health Savings Accounts Life, AD&D, Short and Long Term Disability 401(k) with company match Generous paid time off plan Employee Assistance Program Optional Benefits: Voluntary Life and AD&D for employee & family Supplemental Medical coverage (Critical Illness, Hospital Indemnity and Accident coverages) Pet Insurance ID Theft Protection Perk Spot Discount Program Jubilant HollisterStier is a great place to grow! If you're up for a rewarding challenge, we invite you to take the first step and apply today! *************************************************** *Please click on the Spokane, WA link* Jubilant HollisterStier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to their protected veteran status and will not be discriminated against on the basis of disability. If you require assistance applying for a position, please contact our HR Department at: ******************************

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.

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!

Founding Engineer (React / TypeScript) - Stealth Startup In Blockchain/Web3 | New York City (Onsite) Compensation: Up to $250k base salary plus meaningful equity Location: Manhattan, New York (onsite, full-time) About the Company Our client is a stealth-mode startup building a next-generation high-frequency trading platform that connects Web3 and traditional finance. Their goal is to push the limits of performance, reliability, and transparency in decentralized trading infrastructure. The company is backed by leading investors and founded by experts in low-latency systems, quantitative trading, and distributed technologies. They are seeking a Founding Frontend Engineer to join the core team at an early stage and help shape both the product experience and the company's engineering culture. The Role As the Founding Frontend Engineer, you'll design and build intuitive, high-performance interfaces that visualize complex real-time trading data and empower users with precision, speed, and clarity. You'll work closely with the founding team to define the user experience, architecture, and frontend systems that power a next-generation Web3 trading platform. This is an onsite, full-time position based in Manhattan. You will collaborate directly with the founders in a fast-paced, highly technical environment and help establish the foundation for frontend engineering excellence. Key Responsibilities Design and implement robust, performant web applications using React and TypeScript Build responsive, mobile-first interfaces using Tailwind CSS, Flexbox, and CSS Grid Develop and optimize real-time data visualizations using Chart.js, D3, or similar libraries Profile and enhance frontend performance using Lighthouse, React Profiler, and modern browser tools Write maintainable, well-tested code and comprehensive test suites using Jest, Mocha, or similar frameworks Collaborate with backend and product teams to integrate APIs, real-time data streams, and Web3 components Define frontend best practices, development workflows, and architecture patterns from the ground up Candidate Profile 3+ years of experience building and deploying modern frontend applications Expert-level proficiency in JavaScript, TypeScript, and React Strong command of CSS fundamentals and experience with Tailwind CSS Deep understanding of browser rendering, performance tuning, and debugging Experience with testing frameworks and maintaining testable, scalable codebases Familiarity with data-visualization and real-time UI patterns Comfortable working in a fast-moving, early-stage environment with high ownership Authorized to work in the United States Interest in Web3, trading, or high-performance systems (experience a plus, not required) Compensation and Benefits Competitive base salary up to $250,000 Meaningful equity participation in a high-growth early-stage company Opportunity to shape both the technical and product foundation of a next-generation trading platform Work alongside a world-class founding team tackling complex, high-impact engineering challenges

Role: Senior Software Engineer Must Have skills: Senior Fullstack Developer with 12+ years of overall experience. Strong expertise in React, TypeScript, Node.js, Java, and building scalable web applications. Experience with MERN stack and developing React component libraries is required. Ability to lead development efforts, drive architecture decisions, and manage large-scale projects. Must have hands-on experience with cloud-based development (AWS) and modern software engineering practices. Opportunity to own end-to-end design and contribute to a high-impact supply chain solution.

Role: Senior Software Engineer Must Have skills: Senior Fullstack Developer with 12+ years of overall experience. Strong expertise in React, TypeScript, Node.js, Java, and building scalable web applications. Experience with MERN stack and developing React component libraries is required. Ability to lead development efforts, drive architecture decisions, and manage large-scale projects. Must have hands-on experience with cloud-based development (AWS) and modern software engineering practices. Opportunity to own end-to-end design and contribute to a high-impact supply chain solution.

Role: Senior Software Engineer Must Have skills: Senior Fullstack Developer with 12+ years of overall experience. Strong expertise in React, TypeScript, Node.js, Java, and building scalable web applications. Experience with MERN stack and developing React component libraries is required. Ability to lead development efforts, drive architecture decisions, and manage large-scale projects. Must have hands-on experience with cloud-based development (AWS) and modern software engineering practices. Opportunity to own end-to-end design and contribute to a high-impact supply chain solution.

Role: Senior Software Engineer Must Have skills: Senior Fullstack Developer with 12+ years of overall experience. Strong expertise in React, TypeScript, Node.js, Java, and building scalable web applications. Experience with MERN stack and developing React component libraries is required. Ability to lead development efforts, drive architecture decisions, and manage large-scale projects. Must have hands-on experience with cloud-based development (AWS) and modern software engineering practices. Opportunity to own end-to-end design and contribute to a high-impact supply chain solution.

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

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.

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Mechanical Engineer to join Kaiser Aluminum Warrick Operations in Newburgh, Indiana! What's in it for you! To support our teams and their families beyond the workplace, we provide an outstanding benefits package effective day one of employment! Industry leading compensation program. 401K options that begin vesting day 1. First-rate vacation plan for valuable work-life balance. Relocation assistance for new team members. Employee resource groups. What you will work on: Create and develop programs that will support process improvements to safely meet Warrick Operations' business plan. Coordinate all phases of assigned area mechanical engineering projects from concept, scope development, written specifications, bid solicitations, design, manufacturing, equipment commissioning, and project closure. Assist production and maintenance with equipment and process issues. Function as a problem solver, applying theory and experience to develop process improvements and accurately identifying problems by submitting sound recommendations for long-term improvements of equipment and processes. Lead and participate in process improvements with multi-discipline technical staff, maintenance and production. Mentor employees to increase their process knowledge and support their career growth Work to eliminate waste through reliability enhancements and monitoring processes, ensuring they are in control and meeting expectations. About you: Deep understanding and ability to quickly comprehend electrical and mechanical systems and failure modes. 3-5+ years of heavy industry experience Demonstrated problem solving using data. Passion to learn and improve. Effective team leader and team member that energizes others. Ability in influence business leaders, peers, and team members professionally with data, logic and presentation skills Bachelor of Science degree in Mechanical Engineering or Mechanical Engineering Technology from an accredited institution. Strong software skills. (MS Office, Creating document templates, Creating Excel sheets with special formatting/tables, importing data/results, etc.) About Kaiser Aluminum Warrick: We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.

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.

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

Job Title: System Software Engineer, Sr. Staff Job Type: Full-Time Work Model: Onsite At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Job Summary: This role will be responsible for assuring SK hynix emerging technology leadership to be maintained and leading the next generation of memory-centric architecture using your expertise in computer system and SW technologies including open source tools to demonstrate benefits and use cases. System software engineer will be responsible for designing, developing, and optimizing next-generation memory solutions and system software for energy-efficient AI computing platform. System software engineer will work closely with our hardware and software teams to ensure seamless integration and optimal performance of our next-generation AI memory solutions Responsibilities: Individual technical contributor within the research team focused on next generation storage/memory systems. Design and develop next-generation memory solution prototype and system software for energy-efficient AI/ML computing infrastructure, including memory management, cache hierarchy, and data transfer protocols. Collaborate with hardware architects to ensure optimal hw/sw co-design and integration. Develop and maintain system software frameworks and APIs for AI system infrastructure. Optimize system software for performance, power efficiency, and scalability. Develop and maintain documentation, technical specifications, and test plans for system software. Participate in technical discussions and provide input on system software design and architecture with industry ecosystem partners Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and system software. Verbal/written communication with both internal and external collaborator Qualifications: Ph.D. in Computer Science/Electrical Engineering or 6+ years of experience in system software development, with a focus on memory system architecture and AI infrastructure. Strong understanding of computer architecture, memory systems, and system software design. Experience and familiarity with Python/C/C++ programming languages Knowledge of operating systems, device drivers, and system programming. Good working knowledge or experience in GPU architecture and CUDA programming Excellent problem-solving skills, with the ability to debug complex system software issues. Strong communication and collaboration skills, with the ability to work with cross-functional teams. Benefits: Top Tier health insurance at no employee cost Paid day offs: PTO + Company Holidays + Happy Fridays Paid Parental Leave Program 401k Matching Educational reimbursement up to $10,000 per year Donation Matching and volunteering opportunities Corporate discount programs Free Breakfast/Lunch/Dinner provided to employees Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range$160,000-$180,000 USD