Manufacturing engineer jobs in Brookline, MA - 4,825 jobs

Manufacturing Engineering Department seeks a Senior Manufacturing Engineer to perform all manufacturing engineering duties. Ideal candidate possesses effective verbal, written, presentation, negotiation, and interpersonal skills. Demonstrates ability to generate manufacturing documentation, specifications, and technical reports in a concise manner, hands‑on, action‑oriented with strong analytical and critical thinking skills. Job Responsibilities Identify, order, and commission key process equipment to CGMP in the Operations Engineering Cycle to meet key business objectives. Serve as engineering process owner for the area. Develop and modify manufacturing documentation and procedures to support commercial products and introduce new products to the production floor (assembly procedures, BOMs, etc.). Ensure that new products introduced to the production floor meet business, quality, output, and cost goals and objectives. Develop and modify various manufacturing processes to improve product and process quality and output. Ensure product/process requirements are met for component, assembly, tooling, and supplier specifications. Support material discrepancy review and disposition activities (MRB) for existing commercial products. Become a recognized leader or authority in an area of specialization and apply this knowledge in leadership roles in the company. Eliminate or reduce product/process defects and improve yields; solve problems from basic engineering principles. Demonstrate a primary commitment to patient safety and product quality. Support all quality and corrective/preventive actions initiatives (NCEP, CAPA) to achieve quality goals. Maintain a valid capacity model in cooperation with the line supervisor and conduct adequate advance planning for required capital. Capable of training cross‑functional team members, including engineers, technicians, and product builders. Possess knowledge of project management. Interact cross‑functionally with internal and external customers. Develop expert knowledge on BSC systems. Willing to travel internationally as part of a project team. Calibration Engineering Role Provide equipment calibration services necessary to meet company objectives while assuring measurement traceability to nationally recognized equipment calibration standards and practices. Technical SME for Calibration group and SME for internal and external audit. SME for Calibration Management System. Perform calibration functions and set day‑to‑day functions for the calibration group. Research and recommend new standards and capital equipment, providing detailed justifications and cost analysis. Develop technical engineering reports and complex technical calibration procedures; train department technicians on new calibration procedures. Work directly with Equipment Engineering and Manufacturing Engineering departments to advise on equipment selection, design accommodations for calibration of new equipment, and appropriate measurement techniques. Provide support and guidance to calibration technicians in performing complex equipment calibrations. Support calibration laboratory needs regarding environmental control and new technologies. Work with management to develop the department fiscal year budgets. Communicate with the Operations ME function on calibration status. Build quality into all aspects of work by maintaining compliance to all quality requirements. Drive “Standard Work” in all aspects of calibration activity. Job Requirements At least a Bachelor's degree in Mechanical Engineering (preferably in mechanical, chemical, or biomedical). Minimum 8 years of experience in a related field. Preferable experience in the medical device or other regulated industry. Leadership experience. Strong engineering knowledge, problem‑solving skills. Experience sustaining and production working environments. Collaborative with cross‑functional teams. Experience in the medical devices manufacturing industry is a plus. About Us As a global medical technology leader for more than 40 years, our mission at Boston Scientific (NYSE: BSX) is to transform lives through innovative medical solutions that improve patient health. If you're looking to truly make a difference to people both around the world and around the corner, there's no better place to make it happen. Job Segment Biomedical Engineering, Manufacturing Engineer, Medical Device, Medical Device Engineer, Chemical Research, Engineering, Healthcare #J-18808-Ljbffr

GPA Global operates as your global packaging solutions provider. We offer our clients a holistic solution - providing every service associated with your packaging project. From concept through to design, development, production, inspection and logistics, our capabilities touch all bases. As a global organization with regional manufacturing and logistics sites in Europe, North America, and Asia, we have created an infrastructure which services our clients with an on-the-ground customer centric relationship, but with the weight of a global operation. Specializing in a myriad of materials and processes, from folding carton to rigid box and multi-material luxury production, GPA Global is the complete packaging partner for today's global brands. SUMMARY The Production Operations Manager is responsible for managing the operations of all departments of the GPA Mansfield site, with all operations union and non-union employees on all shifts and ensuring workflows through departments in a safe, productive, cost effective and quality manner. This position shall lead first-line managers to achieve their goals and also ensure that all teams within a unit are functioning well in a cost-effective manner. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Report personnel or product safety concerns to executive management. Develop key performance goals for operations employees of the Mansfield site. Manage the performance of the Mansfield Manufacturing/Operations staff. Create and implement strategies for business growth for manufacturing/operations at the Mansfield site. Hire new manufacturing/operations staff as required at the Mansfield site. Ensure that Mansfield site departments deliver quality work based on customer requirements. Work with other senior staff at the Mansfield site to retain and develop new clients. Create internal processes to improve productivity and quality. Lead all union matters with the collaboration of the General Manager and HR Staff. Manage the site's manufacturing P&L against Standard Manufacturing Cost; budget and monitor the financial health of the business units. Manage the Mansfield site's manufacturing and operations policies concerning Plant & Safety rules, maintenance, breaks, house-cleaning, and fire prevention. Participate in food safety related programs and monitor compliance. Document all KPI's (Key Production Indicators) with charts and graphs for interpretation by all manufacturing/operations supervisors. SUPERVISORY RESPONSIBILITES Supervises all manufacturing/operations department manager and supervisors at the Mansfield site. Is responsible for the overall supervision, coordination, and evaluation of production. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include: Ensure proper utilization of all equipment and crewing to result in cost compliance and statistical process control. Assigning work, checking work, discipline, maintaining quality and quantity standards, organizing work, evaluations, prioritizing and delegating work assignments as needed. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Bachelor of Science Degree and seven to ten years related experience and/or training. Five to ten years' experience in leading/managing Labor Relations (union employees/matters, CBA construction, productivity, scheduling, etc.). LANGUAGE SKILLS Ability to read and comprehend simple instructions, write short correspondence, and memos. Ability to write simple correspondence, effectively present information one-on-one, small groups, and other employees of the organization. MATHEMATICAL SKILLS Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, percent, and draw bar graphs. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; and talk and hear. The employee frequently is required to reach with hands and arms. The employee is continually required to stand and walk. The employee is frequently required to lift, squat, bend, and twist. The employee must occasionally lift and/or move up to 50 pounds and frequently lift and/or move up to 35 pounds. Specific vision abilities required for this job include speech, vision, touch, and hearing. WORK 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. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts. The employee is occasionally exposed to risk mechanical hazards and paper/dust particles. The noise level in the work environment is usually loud.

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

We are seeking a highly skilled Mechanical Engineer with strong technical and analytical capabilities to support the development of mechatronics systems. The ideal candidate will have experience in both prototype and production-level designs and a proven ability to deliver results efficiently. Responsibilities Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks. Perform mechanical tolerance stack-up analysis and related engineering calculations. Create mechanical assemblies for electronics and automation systems. Support rapid prototyping and production tooling processes. Collaborate with cross-functional teams to ensure design feasibility and manufacturability. Manage projects using Agile PLM tools and methodologies. Communicate technical concepts clearly through documentation and presentations. Essential Skills Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field. Proficiency in SolidWorks MCAD software for 3D modeling and 2D drafting. Experience with Agile PLM systems. Strong knowledge of mechanical assemblies, electronics integration, and automation design. Expertise in mechanical tolerance analysis. Hands-on experience with rapid prototype tooling and production tooling. Proven project management skills. Excellent communication and technical writing abilities. Additional Skills & Qualifications * Thermal simulation analysis. * Structural load analysis. The role will require 30% travel Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $140000.00 - $150000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Jan 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

A leading 3D printing company in Boston is looking for a Senior NPI Manufacturing Engineer to design and oversee assembly processes. Ideal candidates will have over 5 years of experience in manufacturing engineering, including work with electro-mechanical products. The role requires developing line layouts, managing prototype assemblies, and improving production metrics. Competitive salary range is $120,000 to $150,000, along with equity compensation and benefits like comprehensive healthcare and paid sabbatical leave. #J-18808-Ljbffr

Join Us: Finding a better way. At CHA, we believe in the power of clean water, resilient energy, safer roads, and structures that harmoniously blend with their surroundings. We create solutions. We help People. We improve our world. At CHA, we embed ourselves in our communities - and take pride in improving things where we live. At the foundation is a commitment to inclusion and diversity and choosing to treat everyone with dignity and respect.We also take accountability for making decisions that promote sustainability in our business and our designs.We are on a mission to reduce our environmental footprint and bring greener solutions to our clients. We are responsibly creating a more sustainable future in ways that we can all see and touch. Together. Every day. CHA Consulting, Inc. is currently seeking a Senior Mechanical Engineer to join our Power & Manufacturing - Generation & Energy Management Team at our Boston, MA; Norwell, MA; Burlington, MA; or Albany, NY office. What You'll Do: At CHA, our Advanced Energy team is at the forefront of transforming the energy landscape. We partner with our clients to expand and improve their operations, reduce costs, and enhance their competitiveness with cutting‑edge, cost‑effective solutions. As part of our team, you'll have the opportunity to work on innovative projects that balance cost‑saving measures with long‑term sustainability goals. We specialize in innovative energy conservation projects and transitions from carbon‑based fuels to cleaner energy sources-pioneering solutions that minimize operational disruption and maximize results. With deep expertise across energy conservation, clean energy transitions, and sustainable practices, we offer a unique opportunity to make a tangible impact on the future of energy. The Senior Mechanical Engineer in this position is required to provide advanced judgment and analysis techniques for the design development and technical analysis of various systems to suit individual client needs. This key role is responsible for planning, scheduling, conducting, and coordinating detailed phases of a project independently with other engineering disciplines and project management staff. This person must also be capable of directing junior engineers and leading the day‑to‑day activity of a small team working on the project. The professional in this role would also work with and mentor junior staff members and provide technical review of their work as needed. At CHA, you can build a career and find your passion across our diverse business lines and project teams. Being part of CHA means being part of a team of talented professionals, where you'll find support for your career growth and the opportunity to impact our industry and our communities. Find your “why” at CHA! What You Bring: Bachelor's Degree in Mechanical Engineering required Professional Engineer License (PE) required Minimum of 10 years progressive engineering experience is required Plumbing experience is a plus Expert knowledge of the respective engineering discipline with a proven ability to practically apply best practices Advanced proficiency with engineering, computational, and modeling software (Revit, AutoCAD, etc.) Experience using Design Builder or similar load modeling software preferred Understands QA/QC procedures and understands basic business practices and laws related to engineering Ability to demonstrate leadership skills and effectively work in a collaborative environment; proven ability to lead a team Effective verbal and written communication skills with the ability to adapt communication style to suit various audiences Proficiency with MS Office software required Active role in a professional engineering society/organization preferred Salary Range: $120,000 - $135,000 Salary is based on a variety of factors, including, but not limited to, qualifications, experience, education, licenses, specialty, training, and fair market evaluation based on industry standards. Culture/EEO Statement: At CHA, we work every day to create solutions, help people, and improve our world, committed to creating and fostering excellence in our diverse and highly talented teams. Our teams continually strive to find better ways - always searching, never settling - to achieve extraordinary results. Our values around hiring, training, and community engagement reflect a company culture that is inclusive and forward leaning, always pushing the limits of what is possible. We as an organization celebrate the values of inclusion and equality, and advocate for the full participation of all people in an environment free of discrimination. To support these values, we invite all qualified applicants to be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, protected veteran status, or any other characteristic protected by law. #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

About LogRocket Founded in 2016, LogRocket's goal is to make every experience on the web as perfect as possible. We're solving a huge challenge for product managers and developers - understanding the user experience. LogRocket is the first system that gives these teams complete visibility into their customer's experience using their web apps - through pixel-perfect replays of user sessions and clear insight into logs, errors, and network activity. We've already attracted an elite roster of almost 3,000 customers including ClassPass, Capital One, Cisco, and Rippling, just to name a few. Our focus is on building software with care and craftsmanship and our engineering blog posts offer a taste of that. Backed by top investors such as Matrix Partners, Battery Ventures, and Delta-V Capital, we've raised $55M in funding and we're eager to bring talented people onboard to support our growth. We're on a mission to improve society's experience with software and that's where you come in. Responsibilities Improve quality of pager alerts while reducing noise Maintain awareness of engineering initiatives across the organization and monitor their impact on stability, cost, and performance Keep infrastructure up-to-date to take advantage of security patches and new features Improve operational security without sacrificing engineering independence Qualifications At least 4 years of experience as a Site Reliability Engineer, or related job Ability to read and understand product code (writing product code is a nice-to-have!) Familiarity with the state of the art in cloud technologies, including common providers, specific tools of the trade, and their strengths and weaknesses Experience operating applications and databases with demanding scalability or availability requirements Proven expertise in modern container orchestration practices (we use Kubernetes on GKE) A strong understanding of the performance, architecture, tooling, and cost of cloud systems A security focused mindset with a solid understanding of incident response and risk mitigation A strong collaborator who is transparent about progress on tasks, seeks feedback early and often, works effectively with the team and customers If you don't meet all of these, we still encourage you to apply. We believe that code is code, regardless of language, and learning different tools is part of joining a new company. Benefits & Perks Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!) Unlimited vacation policy Health, Dental, Vision benefits, 401k, commuter benefits Generous stock options Regular team outings and activities (from boat rides to paintball, we'll try anything!) $135,000 - $220,000 a year This range is intended to provide a guideline for our typical compensation and may be modified based on location or experience of our finalist candidate. LogRocket is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. LogRocket will consider sponsoring visas for applicants in the US that need work authorization. #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

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

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

& Responsibilities The Senior Process Engineer Technical Services is responsible for driving overall process technology implementation initiatives, continuous improvement / optimization programs, and leading innovation as it relates to Radius shredders, joint products, and other ferrous and non-ferrous operations. Improving yields, product quality and developing new product streams is a key pillar of the technical services department strategy and as such, this role is a key role in ensuring Radius' success in delivering on improved production metrics, throughput, product quality, sustainable low carbon products and reducing environmental footprint. Essential Functions Play a key role in implementing the metal recovery technology strategy and other technological improvements across the Radius enterprise. Project manage the overall execution of technology, continuous improvement and capital projects, ensuring proper resources are identified and assigned, projects are scoped and scheduled, and progress is monitored and managed. Lead process improvement and technological advancements in recycling with the goals of enhancing product quality, increasing metal recovery (reduce/divert landfill), help in creating new product streams (plastics, tires, and other adjacencies), and growing process efficiencies (throughput, mechanical availability, etc.). Establish and maintain necessary relationships and contracts with third party service providers, engineering firms, contractors, and consultants to ensure initiatives are appropriately engineered and adequately resourced. Act as a technical resource to the management teams (shredder, JP, maintenance, etc.) to assist with any technical opportunities that arise during operations. Leverage existing systems as well as define and establish new improved systems and processes. Ensure project budgets are effectively and efficiently utilized and met. Develop and deliver training and support tools for operations to institutionalize new technologies and process improvements. Assist in the development of fiscal year capital plans for any of the continuous improvement or reliability projects, including but not limited to, major maintenance projects, outages and others. Provides process training to employees as necessary. Work closely with Environmental, Health & Safety teams to ensure adherence to all Radius policies and procedures as well as identify opportunities for sustainability improvements and reducing impact on the environment. Ensuring a safe work environment for all employees, customers and visitors. Internal Control Responsibilities Supports Internal Control process which includes understanding, communicating, and complying with defined internal controls as well as suggesting and making modifications to the policies, procedures, and controls to better match the business. Communicates upward problems in operations, noncompliance with the code of conduct, or other policy violations or illegal actions. Interpersonal Contacts The Senior Process Engineer - Technical Services will be required to develop and maintain effective working relationships with Technical Services peers, the Operations team including Operations Managers (Shredder, Shear, Balers and Joint Products), Regional Managers, Purchasing Managers, Maintenance Managers at Radius facilities. The role will also be required to develop and maintain effective relationships with preferred service providers, equipment suppliers and contractors. Job Conditions This position will require frequent travel, up to 60% of the time. Visits to yards in each region can be expected to be under all weather conditions. Physical hazards may be present due to the equipment and machinery used throughout the recycling facility and the presence of the scrap itself. This position may require work beyond normally scheduled hours at times to support operations. Qualifications Bachelor's degree in an Engineering Field and 5 years of process engineering and project management experience; or equivalent combination of education, job experience and knowledge. Previous experience in the scrap metals recycling industry or an adjacent heavy industry (e.g., mining, gas & oil, municipal waste recycling, heavy fabrication & processing) is desirable. Experience leading and implementing continuous improvement / optimization projects. In addition, a keen drive for safety at work and understanding of environmental permitting processes. This position requires possession of a valid driver's license and the ability to drive an automobile. Ideal Competencies Ability to apply logical principles to solve practical problems and deal with many variables and determine a specific course of action. Ability to analyze data, to develop effective strategies from such analysis, and to translate these strategies into effective actions at the operational level. Accountability Integrity Customer Focus Use of functional expertise Teamwork Physical Requirements And Work Environment Able to: travel domestically and internationally, sit, stand, or walk for up to 6-8 hours per day; bend, crouch; climb, balance, push/pull, lift or carry up to 50 pounds. Able to write by hand and keyboard for extended periods of time. Communication is primarily by phone, email and in person, with other departments within the Radius Group. Visual acuity is needed for close detail work, preparing and analyzing data figures, accounting, and computer use.

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

👋 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

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

Senior Project Engineer - BESS page is loaded## Senior Project Engineer - BESSlocations: United States - Massachusetts - Boston: United States - Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: R3489Ameresco, Inc. (NYSE:AMRC) is a leading energy solutions provider dedicated to helping customers reduce costs, enhance resilience, and decarbonize to net zero in the global energy transition. We are a trusted, full-service partner to public sector and government entities, K-12 schools, higher education, utilities, and healthcare customers across the U.S., Canada, the U.K., and Europe.At Ameresco, we show the way by developing, constructing and operating tailored smart energy efficiency solutions, distributed energy resources, and infrastructure upgrades that drive cost savings, resilience, decarbonization, and innovation. Our comprehensive portfolio is built to address the challenges of today and adapt the future, ensuring long-term sustainability and success for our customers.**Position Overview:**Ameresco has a new opportunity for a **Senior Project Engineer** with BESS (Battery Energy Storage System) experience to join our East Region Team in the design, management, and implementation of BESS projects for industrial, commercial, utility, and institutional customers. This is a senior-level position with the ability to work closely with our development, engineering, procurement, construction, and commissioning team members.**Responsibilities:*** Lead the technical delivery for utility and C&I scale BESS projects during development, engineering, procurement, construction, and commissioning. Serve as the primary engineering authority to ensure projects meet schedule, financial, safety, quality, and contractual objectives.* Manage external engineering consultants and ensure their deliverables meet project requirements, budget, and schedule.* Coordinate multidisciplinary engineering including geotech, civil, structural, electrical, substation, fire protection, and SCADA.* Review and approve all engineering deliverables for projects including drawings, studies, specifications, calculations, and reports. Ensure engineering deliverables meet all project objectives, contract terms, applicable codes, AHJ requirements, and utility standards.* Manage engineering document transmittals between all project stakeholders.* Manage major equipment procurement by developing specifications, reviewing vendor proposals, reviewing vendor drawings, and advising on technical contract terms.* Develop utility interconnection designs to meet utility and project requirements. Coordinate with utility throughout project and prepare utility required submittals.* Conduct site investigations to assess existing conditions, electrical systems, utility configurations, and site layout to ensure project designs are constructable and optimized for the site.* Collaborate with project developers to develop the basis of design and establish customer expectations.* Support construction project managers by resolving field engineering issues, reviewing RFIs, reviewing submittals, performing site visits, and verifying projects are built per design.* Support commissioning team by providing technical guidance and coordinating with utility during commissioning and utility testing.* Collaborate with O&M team to ensure projects are constructed for safe operation and ease of maintenance throughout project life.* Foster effective and positive business relationships with all parties.* Perform other duties as required.**Minimum Qualifications:*** BS in Electrical Engineering preferred but other related engineering disciplines acceptable.* Minimum of 5 years of experience is required in either power engineering or renewable energy.* BESS project engineering and construction work experience focused on design, engineering, construction, and commissioning.* Working knowledge of BESS systems, electrical engineering, construction, safety, industry standards, IEEE, NFPA 855, and NEC.* Proficiency in Procore, Microsoft Office, and AutoCAD.**Additional Qualifications:*** Professional Engineer license (Electrical) is strongly preferred but not a requirement.* Familiarity with NERC and FERC requirements for utility scale projects is a plus.* Familiarity and ability to learn relay setting programs such as SEL AcSELerator is a plus.* Familiarity and ability to learn industry accepted power studies software such as Aspen, ETAP, Easy Power, PSCAD, etc is a plus.* Excellent verbal, written, computer, and technical communication and presentation skills.* Strong interpersonal and team communication skills.* Valid driver's license issued by state of residence and in good standing.* Occasional travel required to project sites (up to 25%).#LI-HP1Ameresco challenges the brightest, most talented, and creative individuals in the industry by providing an environment that fosters initiative and achievement. We are proud of our comprehensive and competitive employee benefits, including people-oriented insurance, investment, and incentive plans.All official communications from Ameresco will originate from **************** email address. Any correspondence from other domains should be regarded as fraudulent. Please report any suspicious activity to the platform where the issue was encountered. For further inquiries or concerns, please contact us at 1-866-AMERESCOAmeresco is an Equal Opportunity Employer.### Energy careers at Ameresco bring employees to the forefront of new energy technology with the backing of an experienced team of energy efficiency and renewable energy engineers and professionals. Ameresco is a recognized leader throughout North America and United Kingdom, delivering comprehensive renewable energy and energy efficiency services to public and private enterprises.### **"Its inspiring to work on projects that are shaping the future of energy use and to be part of a team that has tremendous experience in renewable energy systems."***- Ameresco Employee* #J-18808-Ljbffr

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

A technology company is seeking a Site Reliability Engineer in Boston to enhance cloud-native services and ensure high reliability. Responsibilities include building foundational platforms, utilizing cloud tools, and following best practices. Candidates should have over 5 years of relevant experience in managing cloud platforms and programming languages like Python or Go. This role follows a hybrid work schedule, promoting collaboration and innovation. #J-18808-Ljbffr