Operations engineer jobs in Worcester, MA - 1,941 jobs

A leading cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves developing scalable AI solutions, collaborating within a dynamic team, and ensuring model performance. Candidates should hold a Bachelor's degree in a related field and possess at least one year of relevant experience. An inclusive work environment is emphasized, encouraging all qualified applicants to apply. #J-18808-Ljbffr

Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world. All Motional open positions and applications will be posted here on the official website. Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems. We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems - and eager to grow in a fast-moving, high-impact team. This opportunity can support remote work within the United States, with occasional travel. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML‑based scene understanding, behavior prediction, and planning models. Day‑to‑day responsibilities include: Designing and training large models for predicting surrounding agents, AV behaviors, and end‑to‑end planning systems by executing high‑value experiments based on collaborative input from other machine learning engineers Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities Timely release of major model updates, including analysis of both off‑line and on‑road evaluation data Staying up to date with the latest trends in our fast‑moving industry, and proposing new architectures and network designs Maintaining a high-quality training and evaluation code‑base, including portions of our training stack dedicated to dataset generation and evaluation What We're Looking For: Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics. In‑depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer‑based architectures, autoregressive decoder architectures etc. Experience designing, training, and analyzing neural networks/transformer‑based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi‑object tracking, multi‑agent predictions. Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods Knowledge or course experience of generative models such as VLM, VLA etc. Experience with PyTorch or other Python‑based deep learning frameworks Experience working with large data sets, data curation, and augmentation. Bonus Points Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.) Project or internship experience on VLM, VLA and other foundation models for robotics and self‑driving. PhD in machine learning, generative AI, computer vision, or robotics vision Project experience working on autonomous vehicles or related fields Experience in deploying models into real‑world environments Strong programming skills in C++ and/or CUDA programming The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $142,000 - $190,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. We're creating first‑of‑its‑kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully‑autonomous cross‑country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest‑standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E‑Verify. All newly‑hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility. Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine‑learning, and artificial intelligence. #J-18808-Ljbffr

About this role: Pickle is on the hunt for a dynamic and driven Machine Learning Engineer to revolutionize the future of warehouse automation. This role sits at the critical intersection of Perception and MLOps. You will focus on two key pillars: developing robust scene understanding models and building the deployment and analysis infrastructure that allows us to measure, understand, and improve our robots performance in the real world. Responsibilities: Build Performance Analysis Systems: You will design systems that automatically analyze robot telemetry and video logs to detect anomalies, quantify perception failures, and provide deep insights into why a robot performed a certain way. Scale the Data Engine: You will take ownership of the data lifecycle. You will build automated pipelines to mine interesting events from fleet data, implement active learning strategies to curate high-value datasets, and drive the continuous improvement of our model suite. Develop Scene Understanding Models: You will train and refine 2D/3D vision models specifically designed for event detection and semantic understanding. Master Edge Deployment: You will own the optimization and deployment of these models. You will use tools like TensorRT and ONNX to ensure our models run efficiently on edge hardware (NVIDIA Orin). Define Perception Metrics: You will move beyond simple validation loss and define real-world performance metrics that correlate with customer success, visualizing these trends for the broader engineering team. Skills: 3+ Years of Experience in Computer Vision and Machine Learning, with a strong focus on MLOps, deployment, or data infrastructure. Strong proficiency in Python and PyTorch. You are comfortable writing tooling scripts, data queries, and deployment pipelines. You have experience optimizing models for the edge using TensorRT, ONNX Runtime, or CUDA. You understand how to profile model performance and manage resource constraints. You treat data as a product. You have experience utilizing SQL, data lakes, or vector databases to manage large-scale datasets and automate quality assurance. Familiarity with VLMs and 2D/3D Vision architectures sufficient to debug model failures and understand data needs. You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders. Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools. $130,000 - $160,000 a year Pay at Pickle At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle Robot Want to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor-tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. #J-18808-Ljbffr

About us We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)-an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development. About the Role You'll play a critical role in designing EGI: AI that understands how to design, reason, and build like an experienced mechanical engineer. In this role, you'll use your deep knowledge of mechanical design and manufacturing to create high-quality reference models, engineering workflows, and datasets that power our AI systems. You'll embed engineering judgment into the training loop and shape how machines learn to solve real-world design and manufacturing problems. Responsibilities Design and build high-quality mechanical components and assemblies in CAD to serve as ground truth for training and evaluating AI systems. Define and maintain standards for model quality, metadata, and annotation to ensure consistency and reliability across datasets. Collaborate closely with ML, software, and product teams to shape dataset requirements and influence model behavior through representative engineering examples. Manage and guide a team of external contractors, including writing SOPs, reviewing output quality, and ensuring timely delivery of data assets What we're looking for Bachelor's or Master's degree in Mechanical Engineering or related field. Strong foundation in machine design, product development, and design for manufacturing (DFM). Experience with one or more CAD platforms (e.g., Siemens NX, SolidWorks) with the aptitude to pick up new ones quickly. Strong attention to detail and appreciation for data/model quality. Excellent written and verbal communication skills, especially when documenting processes or communicating across teams. Experience managing external contractors or vendors, including writing clear standard operating procedures (SOPs), reviewing work quality, and providing feedback. Bonus Points Experience working with Software/ML teams. Experience with CAD automation and parametric model generation. Understanding of how large language models (LLMs) or other ML systems are trained and evaluated. #J-18808-Ljbffr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Boston, MA, UStime type: Full timeposted on: Posted Yesterdayjob requisition id: R10124We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice.## Job Details**Key Responsibilities:*** **Applied Machine Learning:** Implement practical ML solutions. This involves training "classic" models (regression, classification) or integrating off-the-shelf models and APIs, rather than researching deep learning architectures from scratch.* **Data Discovery & Preparation:** Analyze mixed datasets (structured SQL data, logs, and unstructured inputs) to determine if they are viable for automation or prediction. You will be the first to "view" this data with an ML lens.* **Integration & Prototyping:** Build Python-based services (e.g., wrapping models in APIs) and collaborate with the core Software Team to integrate these predictions into our .NET enterprise applications.* **Technical Validation:** Review and validate technical deliverables from external AI consultants to ensure they are sound, maintainable, and properly documented.* **Regulated Engineering:** Ensure all ML code and data handling processes comply with strict regulatory standards (e.g., rigorous version control, data privacy/HIPAA, and documentation).**Required Knowledge, Skills, & Capabilities:*** **Education:** Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.* **Experience:** Minimum of 3-4 years of professional software development experience, with **demonstrable experience in Data Science or Machine Learning projects**.* **The "Python Stack":** proficiency with Python and standard libraries (Pandas, NumPy, Scikit-learn) is required.* **Versatility:** You are comfortable wearing multiple hats. You might be cleaning data on Monday, tweaking a regression model on Tuesday, and writing a Python API wrapper on Wednesday.* **Independence:** Ability to work as the sole ML practitioner within a Scrum team of C# developers. You can research problems and unblock yourself without a senior Data Scientist sitting next to you.* **General Software Skills:** Familiarity with version control (Git), APIs (REST), and basic software design principles.**Desired Assets (Nice to have):*** Experience working in a **regulated industry** (Medical Device, Pharma, Finance, etc.) or knowledge of standards like **IEC 62304, ISO 13485, or HIPAA**.* Familiarity with **C# / .NET** (you don't need to be an expert, but you need to be able to read the code and work with the team that writes it).* Exposure to cloud environments (AWS preferred) for deploying simple services.**General Skills:*** **Pragmatic:** You prefer a simple solution that works over a complex one that is theoretically perfect.* **Curious:** You are excited to dig into complex medical data to find patterns.* **Communicator:** You can explain data concepts to stakeholders who do not have a math background.**Pay Transparency:**The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role.In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, “flexible time off” for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits.Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact **************, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email *********************.The base salary range for this role is:$101,074.94-$136,586.75/Annual #J-18808-Ljbffr

We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s Corp We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data. Role Machine Learning Software Engineer About Us: We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We're a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics. About the Role: As an ML Software Engineer, you'll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You'll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time. What You'll Do Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs. Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack. Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency. Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry. Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions. Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks. Contribute to a fast-paced, agile development process where doing is prioritized over perfection. Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate. Qualifications Experience in developing machine learning models, with a focus on real-time data processing. Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments. Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.). Experience with sensor data and working with raw data inputs from wearables or similar devices. Comfortable working in a self-directed environment with little supervision-your ability to prioritize and execute will set you apart. A bias towards doing: You're someone who gets things done, doesn't wait for perfect conditions, and takes action to solve problems. A growth mindset, excited to take on new challenges and innovate in a fast-moving environment. Excellent communication skills and a collaborative attitude, even when tackling complex technical problems. Nice-to-Haves Experience with biomechanics, kinesiology, or motion analysis. Familiarity with real-time systems and edge computing. Knowledge of motion capture technologies, wearable sensors, or gesture recognition. Familiarity with cloud platforms and deploying ML models at scale. Why Join Us Work at the intersection of biomechanics, AI, and wearable technology-help us shape the future of human-machine interaction. Be part of a nimble, collaborative team where every member's voice is heard, and every contribution matters. Opportunities for professional growth and learning in an innovative, fast-paced environment. Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box. #J-18808-Ljbffr

👋 Join us at Remark Join the Remark Revolution Remark is reshaping the e‑commerce landscape by harnessing the power of AI and personalized support to solve a critical problem: the low conversion rates plaguing online shopping. Our platform connects shoppers with trained product experts, using AI to enhance every interaction and turn browsing into buying. With Remark, we're not just selling products; we're providing a seamless, personalized shopping experience that boosts revenue and builds loyalty. We're a mix of visionaries, tech enthusiasts, and, frankly, a few eccentrics who've sharpened our skills at giants like Amazon, Microsoft, and Salesforce. Now, we're channeling our collective expertise into building an environment that values curiosity, innovation, and a bit of fun along the way. ⚡️What we're looking for As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy online! Do you love solving complex AI problems, developing strategy and roadmaps, and working in a highly collaborative environment? If so, this could be the perfect match. We build on a modern stack centered around TypeScript. Major elements include NestJS, Prisma, Bull, LangChain, and GraphQL. Ownership is a big facet of the culture at Remark, and as such we encourage strong input from each team member. If you feel strongly about building with something else, we'll hear you out. 📓Responsibilities Develop and enhance our LLM-based operations and pipelines. Work on cutting‑edge role‑playing and persona duplication techniques. Report directly to our Chief Technology Officer. Develop actionable roadmaps for new capabilities, and work with the engineering team execute on that roadmap. Implement comprehensive evals for new capabilities. Balance speed and quality, with a focus on tangible results. Participate in frequent code‑reviews with fellow team members. 🛠Qualifications Strong background in Deep Learning, Machine Learning, and NLP. Proficient in JavaScript and Python. Expertise in building applications leveraging LLMs, with an understanding of performance, latency, and deployment considerations. Familiarity with LLM‑enabled tooling, including frameworks (LangChain, LlamaIndex), vector databases, caching solutions (Redis), and monitoring tools. Knowledge of secure deployment practices and robustness against prompt injection. Passion for solving customer problems, developing strategies and roadmaps, and executing those plans to bring value to our business and customers. Experience with using qualitative and quantitative data (especially from A/B tests) to make engineering decisions. You also know when and how to balance data with intuition. 🎈Bonus points if You have cool open source contributions You thrive when things move fast You've seen a mountain goat 🐐 ⚕️Benefits Competitive salary and equity Full healthcare benefits (medical, dental, vision) Flexible PTO (at least 15 days / year recommended) At least 1 company retreat to Colorado annually $500 expense reimbursement for qualified fitness and outdoor recreation activities 🚀 Ready to join? Let's do this! The jobs listed are guidelines - not perfect outlines - of who we expect you to be. We'd love to hear from you even if you color outside the lines. At Remark, we're building a workplace where everyone can belong. We're committed to diversity and inclusion and encourage applicants from all backgrounds to join our team. Remark is proud to be an equal opportunity employer. #J-18808-Ljbffr

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess' patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. The Mechanical Engineer is a hands-on position involving designing, building, and maintaining automated production equipment throughout its lifecycle. This role will be responsible for design, assembly, installation, qualification, ongoing maintenance, and optimization of automated production systems requiring expert troubleshooting of mechanical assemblies and systems, performing root cause analysis, and implementing corrective actions to ensure efficient, reliable manufacturing operations. Responsibilities Design, implement, and maintain novel automated systems and solutions that contribute to current manufacturing and scale up of manufacturing operations to eventual commercialization. Document equipment and procedures though User Requirements Specifications, detailed mechanical, electrical, and assembly drawings, and use and maintenance SOPs. Contribute to the implementation and maintenance of the Quality Management System. Collaborate closely with cross-functional teams to support product development and manufacturing activities, and to identify and resolve manufacturing issues. Contribute to continuous improvement to increase safety, quality, and efficiency of manufacturing. Qualifications BS or advanced degree in Mechanical Engineering or a related discipline. At least 2-5 years of experience in designing, building, installing, qualifying, and maintaining automated systems for high volume medical device manufacturing. Experience writing and executing IQ, OQ and PQ protocols. Experience developing URS, FAT and SAT documents for automated equipment 3D CAD (SolidWorks or similar) as well as Mechanical design of fixtures, assemblies and equipment. Understanding and working knowledge of mechanical linkages, power transmissions and practices. Understanding of diverse fabrication techniques, manufacturing processes, and Design for Manufacturability Excellent time and project management skills and proven ability to meet goals and deadlines. Demonstrated abilities to learn new skills and fields, creatively solve challenging technical problems, think independently, and work collaboratively in diverse multidisciplinary teams. Entrepreneurial spirit and drive to positively impact global human health. At Vaxess, we're bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to ******************.

A leading biotechnology firm in Boston seeks a Senior Mechanical & Automation Engineer. This role involves developing and automating manufacturing solutions for innovative therapies. Candidates should have extensive experience in automation development, mechanical design, and a strong understanding of cGxP principles. This is a five-day-a-week role requiring onsite presence for three days weekly. Compensation ranges from $75 to $90 per hour, with eligibility for overtime pay. #J-18808-Ljbffr

Requisition ID11657-Posted -SmithGroup, Inc.-Mechanical Engineering-Boston, MA SmithGroup is an integrated design firm with a reputation for cultivating a top‑ranked culture while pioneering award‑winning innovative design solutions. We blend research, data and technology with ingenuity and a creative spirit to deliver resilient, inclusive spaces that solve our clients' greatest challenges. Our teams create exceptional design solutions for healthcare, science and technology, workplace, mixed use, higher education, cultural, waterfront, parks and open spaces, and urban environments. We are looking for passionate problem solvers who want to elevate design, push boundaries and create a more resilient future. The Boston office of SmithGroup is looking for a Senior Mechanical Engineer to join our team. Working with us, you will: Serve as the engineering leader through all stages of a project of any size and play a larger role in the marketing of the studio and management of the discipline. Conduct building and systems assessments of existing facilities and develop strategies for upgrades and replacements in the context of future growth and expansion. Lead and perform analysis, design and documentation of heating, ventilating and air conditioning (HVAC) systems and controls. Assist in establishing project goals, budgets and schedules, track project performance, and follow/enforce quality control procedures. Meet with clients, project teams, code officials, contractors and others to address mechanical discipline issues and to develop effective working relationships. Present engineering design solutions to client representatives and/or design review committees. Serve as a mechanical systems specialist, conduct research in problem areas of considerable scope/complexity and devise solutions. Contribute to SmithGroup sustainable design initiatives by using a variety of software to perform energy, heating and cooling load and computational fluid dynamic calculations. Mentor junior and intermediate level staff and participate in performance coaching. Participate in the recruitment and interviewing process as requested. An ideal candidate has: A bachelor's degree in Mechanical Engineering, Architectural Engineering or equivalent. Minimum 10 years of experience working as a mechanical engineer designing HVAC, sustainable design and automatic control systems, including experience performing energy modeling. The ability to apply critical thinking to develop conceptual design solutions in the early stages of Project Planning. LEED AP preferred. Professional Engineer (PE) registration required. The desire to lead and mentor others in area of expertise. Working knowledge of the design and construction process and the ability to understand and communicate with professionals of other disciplines. Working knowledge of Autodesk Revit and Microsoft Office Suite software. Excellent verbal and written communication skills in dealing with internal and external clients. At SmithGroup, we are committed to helping our staff thrive with great projects and time to unwind. We offer flexible scheduling, a hybrid work environment, 3 weeks of PTO within your first year of employment with the option of purchasing additional time off, 8 paid federal holidays, plus 15 extra Fridays off! Our benefits plan includes medical, dental, and vision coverage, wellbeing resources, paid parental leave, a flex spending account and voluntary insurance options. We invest in your future through our 401(k) program with employer matching, tuition reimbursement program, one‑on‑one career coaching and professional development opportunities. While we may ultimately pay more or less than a posted salary range, at the time of posting the anticipated salary range for this position is $135,000 to $187,000 annually and you are eligible for a performance‑based bonus each year. To be considered for this role, please create a profile and apply! Equal Opportunity Employer We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state and local laws. If you require reasonable accommodation to complete this application, interview, or otherwise participate in the employee selection process, please direct your inquiries to **********************. #J-18808-Ljbffr

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast's hardware team is responsible for designing and developing top-tier hardware devices. We operate as a streamlined team that emphasizes the essential aspects of pos (point of sale), payment devices, and accessories, while crafting our devices to provide optimal hardware solutions for our clientele. Through our close interactions with customers, we have identified the crucial design features that render our devices genuinely restaurant-grade. Our focus is on the long‑term dependability of our devices, ensuring that our customers can rely on their toast hardware without concern, allowing them to be prepared for another bustling day. Day in the Life of a Mechanical Engineer (Responsibilities) As a Senior Mechanical Engineer, your responsibilities will include the design, analysis, and prototyping of new products; testing and validation of products ready for launch; and providing support to Sustaining Engineering throughout the lifecycle of Toast hardware products. You will operate within a product‑focused development environment and collaborate with both Toast's internal cross‑functional teams and external suppliers to design and deliver products through to production. Given the highly competitive nature of our industry, you will be required to innovate and create iconic devices for the rapidly evolving POS hardware sector. A robust mechanical design background, meticulous attention to detail, comprehension of critical design processes, and familiarity with fast‑paced development cycles are essential. You will be expected to collaborate closely with cross‑functional teams in operations, product development, industrial design, program management, project management, and hardware to define and deliver exceptional products. We empower small teams to achieve significant results in a dynamic work environment. Design and create the mechanical elements of POS devices and their subsystems. drawing on knowledge and experience from the development of payment devices. Create part designs and mechanical systems, guiding them from initial concept through to production with full ownership per product engineering development team. Formulate test plans and product specification documents for both internal evaluations and external clients. Work in collaboration with a cross‑functional team to produce devices of exceptional quality. Gain an understanding of the restaurant environment and design products that can withstand it. Identify the root causes of various issues (design, manufacturability, production) to enhance designs and ensure successful mass production of products. Design with considerations for functionality, reliability, human factors, manufacturability, and aesthetic requirements. Address reliability failure and quality concerns related to products currently in use by Toast customers in the field. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) Proven ability to collaborate effectively with hardware, mechanical engineers, project teams, industrial designers and electrical engineers. At least 10 years of pertinent work experience in the design of consumer, enterprise, and/or handheld products. Proficient in CAD tools, including CREO, Windchill, and PDM processes. Demonstrated expertise in defining and interpreting Finite Element Analysis (FEA) for compliant mechanisms, along with proficiency in GD&T (Geometric Dimensioning and Tolerancing) and related industry concepts. Proven application of statistical tolerance analyses and various design analysis methodologies. Experience in mechanical design and manufacturing processes utilizing plastic, glass, rubber, metal, PCB/FPCB, soft goods, and opto‑electronic physical designs utilized in electronic products. Familiar with decorating technologies such as painting, anodization, plating, printing, and coatings. Experienced in part/tool qualification for manufacturing readiness. Practical, hands‑on troubleshooting experience (including root cause analysis, 8D reports, corrective actions, etc.). Experience in supporting overseas manufacturing builds, requiring up to 25% of business trips both domestically and internationally (to assist with manufacturing and quality assurance during product launches; opportunities to visit global manufacturing sites and contract manufacturing partners' factories). Experience in launching new products to market (to monitor engineering timelines and deliverables, utilizing global engineering resources to enhance efficiency and reduce time‑to‑market). Demonstrated ability to work collaboratively across teams with a strong emphasis on teamwork (to foster relationships with leadership, cross‑functional team members, and peers through team‑building activities and growth opportunities, operating as One Team). A Bachelor of Science degree in mechanical engineering. Preferred qualifications: Delivered numerous products by different development models, such as Internal Development process, JDM, OEM and ODM Product Development processes. Familiarity with PCI compliance. Understanding of the Point of Sale (POS) industry. Proficient in Android‑based devices. Expertise in materials, including characteristics of plastic resins in relation to part‑level quality. Design experience with mechanisms, such as hinges. Experience in sustaining engineering roles for products utilized by customers in the field. Knowledgeable in Six Sigma quality development tools and principles, including Design of Experiments (DOE) and Failure Mode and Effects Analysis (FMEA). Master of Science in Mechanical Engineering. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it's a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ******************************************** #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range: $113,000-$181,000 USD Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in‑person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ********************************************* Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI (************************************** Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the‑art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. Join us in shaping the future of AI! What you will do Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM (************************************** and related projects, such as llm-d (******************************* and LLM‑compressor (*********************************************** projects. Create and manage inference serving deployment pipelines Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models Participate in technical design discussions and provide innovative solutions to complex problems Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance Give thoughtful and prompt code reviews Mentor and guide other engineers and foster a culture of continuous learning and innovation Continuous collaboration with internal and external open source contributors while contributing to vLLM and related projects What you will bring Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning Experience with tensor math libraries such as PyTorch and NumPy Strong programming skills with proven experience implementing Python based machine learning solutions Ability to develop and implement research ideas and algorithms Experience with mathematical software, especially linear algebra Understanding of Linear Algebra, Gradients, Probability, and Graph Theory Strong communications skills with both technical and non-technical team members BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus. #AI-HIRING #LI-MD2 The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat (************************ is the world's leading provider of enterprise open source (******************************************** software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in‑office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare and dependent care Health Savings Account - high deductible medical plan Retirement 401(k) with employer match Paid time off and holidays Paid parental leave plans for all new parents Leave benefits including disability, paid family medical leave, and paid military leave Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. Be Klaviyo's senior IC for scale, you will report into a VP of Engineering and lead performance, reliability, multi‑region, and large‑tenant readiness. You'll drive platform‑wide architectural change, hunt bottlenecks and optimize systems, and partner across teams to productionize improvements. Given that this is an IC role with no direct reports; you will lead via technical depth, hands‑on impact, and crisp cross‑org alignment. What You'll Do Define enterprise scalability fitness functions (latency/throughput/error rates) and a scorecard; align teams to SLOs and budgets. Design/implement sharding and partitioning strategies, caching/back‑pressure, multi‑region readiness, and high‑volume migration paths. Build lightweight enablement: benchmarks, profiling harnesses, reproducible testbeds; pair with teams to land fixes. Lead scalability reviews and readiness gates that accelerate-not block-delivery; drive incident deep dives tied to systemic fixes. Communicate clearly to execs and engineers, tying technical work to business impact and customer outcomes. Integrate AI into scale and resiliency work-from proactive anomaly detection to synthetic load and guided runbooks-so performance improvements stick and incidents don't repeat. Who You Are Experience: 12+ years scaling multi‑tenant SaaS with a reputation for removing major bottlenecks and proving impact with data. Technical expertise: Performance engineering, capacity planning, sharding/partitioning, caching/back‑pressure, multi‑region readiness, and high‑volume migrations; you turn hotspots into robust patterns. AI tools & automation: You apply AI to scale work-profiling assistance, workload modeling, synthetic traffic generation, anomaly detection, and runbook copilots-always with explicit guardrails and observability. Cross‑org influence: You align teams through fitness functions, scorecards, and readiness gates that accelerate-not block-delivery; you communicate tradeoffs crisply to execs and engineers. AI fluency: Curious, adaptable, and proactive in exploring AI that responsibly improves scale outcomes. Nice to Haves Scale scorecard: Company‑wide fitness functions (latency/throughput/error rates) are adopted and reviewed regularly. High‑impact wins: 2-3 bottlenecks removed with documented, reproducible testbeds; pXX latencies and error rates improve on top enterprise workloads; repeat P0s trend down. AI‑assisted scale engineering: AI‑driven anomaly detection reduces alert noise while improving signal; generative load testing and copilot runbooks are used in release/readiness checks for the top critical services; time‑to‑isolate regressions drops 20-30%. Success in 6-12 Months Company‑wide scale scorecard in place; 2-3 high‑impact bottlenecks removed; top enterprise workloads show improved pXX latencies and error rates; fewer repeat P0s. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Get to Know Klaviyo Base Pay Range For US Locations: $248,000 - $372,000 USD We're Klaviyo (pronounced-vee-oh). We empower creators to own their destiny by making first‑party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human‑in‑the‑loop). We provide accommodations as needed. Klaviyo is committed to a policy of equal opportunity and non‑discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non‑company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR). #J-18808-Ljbffr

Senior Mechanical Engineer About the Role At Parallel Fluidics, we are building the infrastructure to power the next generation of life science tools. We seek a highly motivated Senior Mechanical Engineer to lead the development of a next-generation life science instrument for microfluidic applications. This role requires expertise in electromechanical system design, pressure and flow control systems, and sealing interface design. You will work in a dynamic startup environment, collaborating with cross‑disciplinary teams to deliver innovative solutions for cutting‑edge microfluidic technology. Key Responsibilities Design and engineering: Develop concepts for next generation instrument architecture. Lead mechanical engineering effort for systems and components, including: Moving mechanical assemblies Sealing interfaces Pressure control systems Electronics integration Automation integration Project management: Work with leadership to develop and refine product requirements. Manage outside consultants in related disciplines. Develop accurate product development timelines. Provide regular progress updates to leadership. Prototyping and Testing: Create and iterate prototypes to validate designs and refine functionality. Design and execute verification tests to ensure systems meet requirements. Analyze performance data and implement design improvements. Scale‑up: Oversee the transition of designs from prototyping to scalable manufacturing. Ensure products meet all necessary regulatory requirements. Cross‑functional Collaboration: Work closely with the design, software, and microfluidics teams to integrate subsystems. Provide technical leadership and mentorship to junior engineers. Innovation and Continuous Improvement: Stay updated on advancements in mechanical engineering, lab automation, and microfluidics. Identify opportunities for improving performance, reliability, and cost‑effectiveness in future generations of products. Qualifications Required: Bachelor's Degree in Mechanical Engineering or a related field. 5+ years of experience in mechanical design, with a focus on electromechanical systems and fluid control. Strong understanding of pressure control systems, design for manufacturing, and sealing technologies. Proven track record of bringing electromechanical systems to market. Excellent communication and project management skills. Proficiency in 3D CAD software (e.g., SolidWorks, Autodesk Fusion, or equivalent). Preferred: Familiarity with cleanroom environments and microfabrication processes. Knowledge of regulatory and safety standards for laboratory instrumentation. Experience building microfluidic technologies. What We Offer A collaborative and innovative work environment where your ideas shape our future. Opportunities to work on groundbreaking technologies in life sciences and microfluidics. Comprehensive benefits, including health, dental, vision, and life insurance coverage. Equity options to share in the company's growth and success. At Parallel Fluidics, we value diversity and inclusion and welcome individuals from all backgrounds, experiences, and perspectives. If you are passionate about mechanical engineering and eager to drive innovation in life science tools, apply today to help shape the future of microfluidics. #J-18808-Ljbffr

The Senior Staff Engineer leads development of pressure sensors, high temperature thermocouples, speed sensors, fuel gauging systems, fuel level and temperature sensors, lube oil level and temperature sensors, hydraulic level and temperature sensors, wastewater level sensors, fuel flowmeters flow switches. The Senior Staff Engineer is a technical leader with mechanical design engineering expertise who possesses excellent technical and project management capabilities. The Senior Staff Engineer is part of a global, multi-site business unit that designs and manufactures highly engineered sensors and fluid management systems for aerospace applications. The Senior Staff Engineer will drive the design, manufacture, test & certification of electromechanical sensing devices such as Pressure Sensors, RTD's, Thermocouples, Speed Sensors, and Cables. Responsibilities Design sensors described above, mentor and coach early in their career engineers Develop new technologies while working within a multidisciplined team environment. Create 3D models utilizing SolidWorks, specifying materials and assembly methods. Create and issue technical documentation to support new and existing product designs; design reports, FMEA's, test procedures, and test reports etc. Perform Structural, Thermal, Fatigue, and Dimensional Analyses using hand calculations and Finite Element Analytic methods. Review specifications in support of the bid and proposal and product design processes. Serve as technical authority on design reviews ensuring rigor and quality of solutions. Lead continuous improvement of the Design Engineering Body of Knowledge (BOK). Requirements BS Mechanical Engineer required. Master's preferred. 15+ years designing electromechanical sensing devices in a regulated industry ideally aerospace. Must have experience designing MEMs pressure sensors and knowledge of testing and compensation of pressure sensors, experience with high temperature designs a plus. Strong blend of technical, project, and positive customer relationship building experience. Proficiency with ASME 14.5 geometric dimensioning and tolerancing (GD&T). Knowledge of Design for Six Sigma methodology and tools. Knowledge of aerospace components and standards, including DO-178 software. Written, verbal, interpersonal skills, and use of analytical tools, including FEA. Proficiency in SolidWorks version 2020 or later. Expertise in designing for severe vibration and thermal environments. Ability to work under pressure, multi-task, and meet deadlines remaining flexible to work priorities. Know Word, Excel, and SolidWorks familiarity with PLM/PDM software ARAS Innovator. Must be a US Citizen. #J-18808-Ljbffr

Masis Professional Group has partnered with a Manufacturing company in Chicopee, MA and is seeking a Project Engineer. This role is onsite Mon-Fri - 1st Shift. Essential Duties and Requirements: The essential duties and responsibilities of this job are included but not limited to this job description - other tasks may be assigned and expected to be performed. Assist with technical development of automotive and mobility products. This includes timing chain systems, selectable clutches, driveline disconnects, and park lock devices. Develop and support cost studies for VA/VE proposals. Responsible for developing system designs and component level designs for specific projects. Create and revise 3D models and 2D drawings utilizing Tsubaki CAD/design software. Responsible for coordinating engineering drawing approvals and releases, updating and releasing Bill of Materials, and supporting drawing implementation with cross-functional team. Responsible for communicating applicable engineering specifications (customer or internal) to team. Responsible for creating Design Gantt Charts, DFMEAs, and conducting Design Reviews (internal and supply chain). Develop and coordinate Design & Development Verification Plans, planning and implementation. Support the USTA Auto lab: issue Engineering Work Orders for tests and part exams, coordinate test parts, and issue customer reports. Coordinate with cross-functional APQP team on mass production launch. Support APQP objectives with cross-functional team such as: Process Flow Diagrams, Control Plans, and PFMEAs. Support Sales and New Product Groups on new business opportunities. Other tasks, functions and projects as assigned. Requirements Bachelor's Degree in Mechanical Engineering required. 3+ Years of experience in engineering or related career position. Working knowledge to GD&T required. Familiarity with automotive engines/transmissions, knowledge of AIAG standards and practices, and enthusiasm for the automotive industry preferred. CAD skills required. NX, CATIA, SolidWorks preferred. Familiarity with analysis and simulation software preferred. Ability to learn complex testing and instrumentation required. Ability to multi-task and prioritize work required. Excellent time management skills required. Excellent interpersonal skills required. Ability to effectively communicate verbally and in writing required. Ability to think critically and creatively in high stress situations. Willingness & ability to travel as necessary. 80Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Mostly in an office environment but occasionally in a factory environment with exposure to elements such as odor, noise, dust, heat, cold, or chemicals.

Haugland Group, a privately-owned civil infrastructure and energy construction company has an immediate opportunity for a Civil Project Engineer in our Massachusetts territory. We are looking for an experienced, self-motivated, highly organized individual to join the Project Management team to provide all facets of construction project support, including submittal processing, material management, and budget analysis. At Haugland, we understand that pushing the boundaries of what has been done is essential to develop the infrastructure of tomorrow. The journey won't be simple, but what gets us there is. At Haugland Group, Our Word is Our Way. We are leaders in building what's next because we see the path to get there and we're setting a new standard of exceptional along the way. Let's build together! Key Functions Initiate, prepare, review, develop, track, and distribute submittals and RFIs through Procore. Track file documentation (e.g., correspondence, reports, etc.) in Procore daily to follow-up on and/or summarize project issues, agreements, communications with owners and subcontractors, etc. Reconcile paperwork with the Owner's Field Rep to ensure accurate and proper completion of timesheets. Engage the work crews in conversation on both the technical and safety aspects of the job. Confirm installation is in accordance with specification and/or manufacturers' recommendation. Conduct daily log entries. Ensure progress photos are taken, cut sheets, field drawing marked up, T&E sheets verified/signed (if any), and constructed field measurements are completed daily. Interface with Cost Engineer to track invoices and receipts for field purchase orders and maintain field purchase order files and documentation. Coordinate fabrication and delivery of materials with project CPM, Project Manager, and Superintendent. Interface with Cost Engineer to code and approve PO invoices, coordinating with Accounts Payable and Project Support team. Review and submit quantities to owner for approval. Assist the Project Manager in budget analysis and cost projections. Assist in management of all subcontractors. Gather and submit closeout documentation. Assist Project Manager with projections and costs to complete. Desired Qualifications 3+ years of relevant experience, preferably Civil Engineering. Bachelor's degree in civil engineering preferred. Proficient in the use of Microsoft Office and standard computer applications. Display a high level of initiative, effort, and commitment towards completing assignments in a timely manner. Ability to identify problems; determine accuracy and relevance of information; use sound judgment to generate and evaluate alternatives and make recommendations. Effective communication skills, interpersonal and organizational skills, and a strong work ethic. Why Haugland? Compensation range for this role is 100k-145k. At Haugland Group, our benefits are designed to convey company culture and values which has employees at its forefront. Excellent benefits package including medical, prescription drug, dental, vision, Health Savings, short/long term disability, and life insurance 401k with 5% employer match Employer funded Dependent Care FSA Potential for annual performance-based raise Paid Time off Paid company observed holidays Educational and professional advancement opportunities Frequent company-sponsored events Relaxed, friendly office Fast-paced, exciting environment Haugland Group LLC and its operating divisions, affiliates, related entities, and subsidiaries (collectively, “the Company”) do not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered property of the Company and therefore, the Company will not pay a fee for any placement resulting from the receipt of an unsolicited referral. Only upon the Company's written request may preferred vendors may be invited to refer talent for specific open positions. In these cases, a fully executed agreement with the Company must be in place and current. We are an Equal Opportunity Employer. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to minimal penalties and civil liability.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. GenAI Engineer IV - Lead Innovation with Generative AI Join our Innovation Analytics & AI team as a GenAI Engineer IV, where you'll shape the future of AI solutions for enterprise-scale impact. This expert-level role drives strategy, architecture, and implementation of cutting-edge Generative AI systems using LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models on Azure and cloud platforms. You'll design cloud-native architectures, build RAG workflows, and integrate structured/unstructured data to deliver secure, scalable AI solutions. Using tools like Promptflow, LangChain, Azure AI Search, and Vector DBs, you'll create agentic AI frameworks, optimize performance, and ensure ethical compliance. You will collaborate and guide Solution Architects to align AI strategies with business goals, ensuring performance, security, and scalability while integrating structured and unstructured data into analytics platforms. As a technical leader, you'll mentor engineers, influence enterprise AI strategy, and foster a culture of innovation and continuous learning. This role offers the chance to drive impactful AI initiatives, collaborate across teams, and stay ahead of industry trends. What You'll Do Lead the strategy, design, architecture, and implementation of scalable Generative AI solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4), multi-modal models, and open-source frameworks within Azure Microsoft Infrastructure. Develop robust data integration pipelines and RAG workflows using tools like Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, and Semantic Kernel. Design and implement robust test automation strategies within CI/CD pipelines, define observability metrics using Azure Application Insights and Dynatrace, and support production deployments with detailed documentation and risk mitigation. Collaborate with Solution Architects to ensure successful delivery of enterprise initiatives such as application security, API development, architecture, and test automation. Act as a subject matter expert in tools and technologies, lead internal learning forums, set strategic objectives, and drive the adoption of innovative methods. What We're Looking For Education Minimum Education Required to Perform Essential Job Functions: 4-Year / bachelor's degree, preferably in Computer Science, Data Science, Artificial Intelligence, or equivalent experience 8+ years in AI engineering with deep expertise in GenAI and cloud architectures. Advanced skills in Python, .NET, C#, and tools like LangChain, Hugging Face. Strong knowledge of LLMs, multi-modal models, and CI/CD automation. Proven leadership in AI strategy, mentoring, and enterprise-scale delivery. Expert-level proficiency in Python, .NET, and C# programming for AI applications Advanced expertise with GenAI tools (Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, Semantic Kernel) Deep knowledge of leading LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models Experience with cloud-native architectures, Kubernetes, Terraform, and API development Strong understanding of CI/CD pipelines, automated testing, and test automation strategies Expertise in ethical AI practices (bias detection, hallucination analysis, performance benchmarking) Exceptional leadership, mentorship, and strategic communication skills Strategic mindset for driving innovation, aligning AI strategies with business goals, and influencing enterprise-wide initiatives Why Join Us? Work on state-of-the-art AI technologies shaping the future of business. Influence enterprise-wide AI strategy and innovation. Collaborate with top talent in a dynamic, growth-oriented environment. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

- Collaborate with design teams to understand and debug constraints, facilitating logic changes to optimize timing. - Work with the Physical Design team to identify issues and share best practices. - Develop and implement timing ECOs for project tapeouts. - Create and maintain scripts and methodologies for analysis and runs. - Document processes and contribute to guidelines and specifications. - Conduct detailed analysis of timing paths to identify key issues. - Implement timing infrastructure to support design goals. Minimum Qualifications Bachelor's degree and 3+ years of relevant industry experience. Experience with large design STA and timing closure. Proficiency in programming with Perl and TCL. Preferred Qualifications Hands-on experience in STA. Knowledge of timing aspects in large high-performance SoC designs in sub-micron technologies. Understanding of timing closure methodologies, noise, crosstalk, and OCV effects. Familiarity with circuit modeling, including SPICE models and corner analysis. Experience with ECO techniques and implementation. Strong communication skills to clearly describe issues and follow through to resolution. #J-18808-Ljbffr