Engineer jobs in Warren, RI - 1,781 jobs

The primary role of the Mechanical Engineer is to provide technical ownership and refinement of packaging platforms and automation systems. Working with the Electrical and Controls teams, the Mechanical Engineer will execute the design and manufacturing of in-house packaging machinery and automation. Utilizing packaging machinery and automation platforms and modules, the Mechanical Engineer, in conjunction with the Electrical and Controls Engineers, will execute project and platform design evolution and execution, enabling the manufacturing of in-house packaging machinery and automation. Co-located with electrical and controls engineers, packaging designers, and materials scientists, this role will execute design duties to ensure that packaging machinery and supporting automation are simple, effective, and deliver lower total cost while enabling more sustainable packaging, streamlined supply chains, and lower total cost of ownership. Key job responsibilities: Collaborate with cross-functional engineers to design and execute packaging machinery and automation projects. Execute the mechanical design workstreams encompassing core module evolution, structural member design including the modular frame, safety/guarding, and incorporation of ancillary systems at the project/platform level while ensuring technical, cost, and timeline objectives are achieved. Deliver engineering workstreams including drive system modeling, load and bearing calculations, static and dynamic torque simulations and analysis, 3D and 2D model design including the mechanical BOM generation. Execute the detailed design evolution of modules and subsystems for material specifications, geographic requirements, and continuous improvement goals aligned with platform and project level initiatives. Partner with the Electrical Engineering team to ensure project documentation is complete and scalable for electrical schematics, BOM, I/O's, and subsystem programs. Support the project team in the safety certification of the project/platform (CE, UL, CSA, TUV, etc.). Additional Skills & Qualifications BASIC QUALIFICATIONS Experience in developing functional specifications, design verification plans and functional test procedures BA in Mechanical or Mechatronics Engineering 8+ years packaging machinery design experience Proficiency in 3D design and simulation software including but not limited to Ansys, Creo, Catia, Solidworks Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $55.00 - $70.00/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 31, 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.

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 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

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

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi‑Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster #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

About the Role Join our Guidance, Navigation & Control (GNCაშ group, which is responsible for designing, developing, validating, and maintaining dynamic simulations and infrastructure for rapid assessment, integration, and testing of complex aerospace systems. You will support the advanced RPO algorithms and simulation tools, with a focus on trajectory optimization for commercial and defense satellite applications. Key Responsibilities Develop, implement, and validate RPO (Rendezvous, Proximity Operations) algorithms and simulation frameworksptomatic. Experience with multi-segment trajectory optimization using tools such as GPO` Design and optimize fructio spacecraft trajectories for RPO missions, including multi-body dynamics, collision avoidance,ерж fuel efficiency. Integrate high-fidelity models into simulation environments, supporting both rapid prototyping and hardware-in-the-loop (HIL) testing. Collaborate with multidisciplinary teams to define requirements, develop test plans, and deliver robust software solutions. Support real-time software development, automatic code generation, and embedded hardware interface design. Contribute to the development and maintenance of simulation infrastructure for both aerospace and undersea applications. Document designs, perform code reviews, and support verification and validation activities. Required Qualifications Bachelor's, Master's,-Net) or PhD in Aerospace Engineering, Computer Science, Physics, or related field. 5+ years of experience in GNC, RPO, or trajectory optimization for aerospace applications. Proficiency in simulation tools and programming languages (e.g., Python, C++, MATLAB/Simulink). Experience with modeling & simulation of spacecraft dynamics, orbital mechanics, and RPO scenarios. Familiarity with software development life cycle, version control, and collaborative development practices. reageren analytic, problem-solving, and communication skills. Ability to work independently and as part of a fast‑paced, multidisciplinary team. Preferred Qualifications Experience with real-time simulation, HIL, or embedded systems. Knowledge of optimization algorithms, astrodynamics libraries, and flight dynamics. Experience with test device management and test plan integration. Prior work in defense, commercial space, or government R&D environments. Why Turion? Work on cutting‑edge problems in space and defense. Collaborate with industry experts and innovative teams. Flexible work environment and opportunities for professional growth. Compensation: $160,000-$210,000 ITAR Requirements This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Benefits Equity: Receive equity in Turion Space, letting you benefit from the company's рзы Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their dependents. ्मिक Retirement Plans: Access to a 401(k) plan to help you plan for your future. Paid Time Off: Generous vacation days, personal days, sick days, and holidays to ensure you have time to recharge. Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and@Response.< Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment. We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well‑being and satisfaction of each individual. Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. #J-18808-Ljbffr

A leading quantum/photonics hardware company is building an interconnect fabrication team in Boston and is looking for a Photonics Test Engineer to own test strategy and execution for next‑generation optical interposers and silicon photonics interconnects. In this position, you would define and implement optical/electrical test plans from wafer‑level through package‑level, work closely with OSAT partners on test flows and yield ramps, and translate test data into clear feedback for process, design, and packaging. Experience working with OSATs (process control, test spec definition, data review) and hands‑on silicon photonics test (coupling, loss budgets, BER/eye measurements, automation) would be especially valuable. If you enjoy sitting at the junction of fab, packaging, and test-helping to turn advanced silicon photonics designs into reliable, scalable interconnect products-this could be a very high‑impact move.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is seeking an Intelligent Transportation System/Traffic Engineer to join our New England transportation team in the Boston office. The ITS/Traffic Engineer will play a key role in supporting the delivery of transportation projects focused on improving safety and operations throughout the New England region and beyond. You will work as part of a collaborative team with senior program managers, project managers, and engineers to deliver projects for a range of clients. This role is in the Global Mobility Business Area. We partner with our clients across the globe to design thriving and connected cities and communities that enable opportunity for all and keep the world moving. Climate change, urbanization, and digitization trends are requiring today's mobility projects and systems to address an evolving set of demands from the world's growing population. We design connected, sustainable solutions that integrate existing infrastructure with new technologies, and optimize the mobility of people and goods. Role accountabilities: Work on transportation projects that include Intelligent Transportation System (ITS), Transportation Systems Management and Operations (TSMO), and traffic engineering with a focus on improving safety and operations. Work independently with appropriate senior review, while providing technical guidance to junior engineers as needed. Coordinate with subject matter experts-including survey, roadway design, and environmental disciplines-to support project objectives. Support project delivery by planning and overseeing small assignments or discrete components of larger projects, ensuring quality, schedule, and budget objectives are met. Prepare transportation engineering plans, ITS designs, systems engineering, and traffic engineering plans, including signal designs, signing and marking designs, and conceptual designs for intersections. Develop and maintain an understanding of Arcadis' services, client businesses, and the transportation industry to increase personal and company credibility in the sector. Undertake training and guidance to increase knowledge in areas of technical proficiency. Key Skills: Strong understanding of traffic operations principles and regulatory frameworks, including US DOT, ITE, MUTCD, AASHTO, and New England state DOT requirements, policies, and standards. Direct experience with ITS and TSMO project delivery, including operational practices, technical documentation, and client engagement. Understanding of the use of traffic analysis and modeling tools including VISSIM, Synchro/SimTraffic, and HCS. Experience collaborating in multidisciplinary teams, coordinating with subject matter experts (e.g., roadway design, environmental, survey) to deliver integrated transportation solutions. Qualifications & Experience: Required Qualifications: Bachelor's degree or equivalent in Civil or Electrical Engineering or a related field. Engineer in Training (EIT) Certification and actively working towards Professional Engineer (PE) Certification. 4 or more years of relevant engineering experience, preferably in transportation or traffic engineering. Experience in operational and/or safety analysis. Excellent communication, time management, and problem-solving skills. U.S. Driver's License required. Preferred Qualifications: * Experience with signal, ITS, and/or signing and marking design. * Experience with public sector clients and projects. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $78,415 - $129,385. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-HYBRID #Mobility-NA #Mobility-ANA-Jobs #Traffic-ANA #LI-HA1

.**About the Opportunity****About the Institute for Experiential AI and Northeastern University**We have launched a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous.Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.**The Culture**Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems The Data Science and Machine Learning Engineer will report to Ayan Paul, Research Scientist at EAI and collaborate with Scientists and Clinicians from Peter Castaldi's group at the Harvard Medical School, John Platig's Network Biology group at University of Virginia and Jennifer Dy's Machine Learning group at ECE, Northeastern University and Predrag Radivojac's group at Khoury College, Northeastern University. There will also be opportunities to work on industry collaborations. Responsibilities will include building an ETL and ML pipelines for multiomics or healthcare data, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is expected. Relevant work can lead to co-author publications and contributions to grant proposals. Tentative start date: February 2026 for the Spring 2025 semester with possibilities of renewal. This work will contribute towards drug discovery, protein structure and function prediction and understanding disparities in healthcare.**Qualifications**● MS in Data Science, Machine Learning, Artificial Intelligence, or related fields or currently enrolled in a master's program.● A minimum of 3-4 years of experience working with ML/AI (TensorFlow/Pytorch) and ETL pipelines.● Proficiency in Python and R. Experienced with Unix and remote computing clusters.● Having experience in wrangling large datasets, building databases and ETL is preferred.● An ability to write clean and well-documented code and work with GitHub repositories.● Excellent organizational skills including attention to detail and multitasking.● An ability to troubleshoot and problem-solve in response to challenges, especially, in an unfamiliar domain.● Experience with AWS is a plus but not required**Values & Abilities:**● Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders from various academic backgrounds.● Respect for diversity and the importance of interdisciplinary teams.● Self-starter and innovative thinker and a team-player who can collaborate effectively in a university setting.● Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University, Harvard Medical School, and University of Virginia.**Key Responsibilities:**The Data Science and Machine Learning Engineer will be responsible for a wide variety of data-oriented tasks, including:● Building data preprocessing pipelines for ML/AI models (TensorFlow/Pytorch) for multi-omics and healthcare data from to achieve state-of-the-art performance.● Build ETL pipelines for large datasets● Documenting the entire process and all the codes generated and maintaining structured and regular commits in a Github repository.● Write reports/prepare slide decks describing work performed.● Contribute to scientific manuscripts and grant proposals where appropriate.**Position Type**Non-Student Temporary (20 hrs/week)**Position Type**Temporary**Additional Information**Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.This job is for a current or anticipated job vacancy.**Pay Rate:**$40/hour Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system-which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide-serves as a platform for scaling ideas, talent, and solutions. The university's residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver.Northeastern's personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors-aligned around solving today's highly interconnected global challenges and focused on transformative impact for humankind. #J-18808-Ljbffr

Clearance Level: Secret, TS/SCI Eligible US Citizenship: Required Job Classification: Full Time Years of Experience: 10 years or more of relevant experience Education Level: BS Degree - Experience may be considered in place of education requirement. Summary Provides senior technical leadership for architecting, developing, securing, testing, and sustaining C2SET software; integrates simulations, algorithms, and databases. Responsibilities Architect and implement software capabilities; ensure sustainment and modernization. Design, update, and migrate software, databases, simulations, algorithms. Integrate with AOC WS, ASCCE, ACE-IOS, and Joint federations. Lead full-stack and Agile development. Qualifications 10+ years software/system development (C++, Python, AFSIM, databases, web services and apps). Experience with AWS/Azure and RESTful architecture. 2+ years military mission planning/operations/wargaming. 2+ years simulation training with AOCs. Extensive experience in full stack development, agile development and artifacts Requirements Clearance: U.S. citizen; Secret clearance at award, TS/SCI eligibility may be required. Travel: Must support domestic and international travel for integration, fielding, and exercises. Cybersecurity/Compliance: Support DoD RMF, comply with secure coding requirements, handle CUI/CDI IAW NIST SP 800-171 and DFARS ************. Global InfoTek, Inc. is 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, protected veteran status, or based on disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades. #J-18808-Ljbffr

Senior Micro Injection Molding Engineer About the Role At Parallel Fluidics, we are building the infrastructure to power the next generation of life science tools. We seek a skilled Micro Injection Molding Engineer to lead and optimize our microinjection molding processes for producing cutting-edge microfluidic devices and precision components. This role involves a hands‑on approach to developing, scaling, and improving molding operations while collaborating with a multidisciplinary team in a fast-paced startup environment. Key Responsibilities Process Development: Design and optimize microinjection molding processes for manufacturing high‑precision microfluidic devices. Develop and implement protocols for material selection, tooling, and part production to ensure consistent quality. Tooling and Equipment: Oversee the design, testing, and fabrication of molds, including micro‑scale tooling. Collaborate with external vendors and in‑house teams for mold fabrication and modifications. Program and operate molding machines, ensuring they meet production specifications. Quality and Troubleshooting: Conduct root cause analysis for defects and implement corrective actions. Utilize metrology tools to inspect molded components for precision and compliance with specifications. Maintain detailed documentation of production parameters and performance metrics. Collaboration: Work closely with engineering and manufacturing teams to align processes with company goals. Provide technical expertise to support customer inquiries and product development efforts. Innovation and Continuous Improvement: Stay updated on advancements in injection molding technologies and materials. Drive innovations in process efficiency, cycle time reduction, and sustainability. Qualifications Required: Bachelor's degree in Mechanical Engineering, Materials Science, or related field. 5+ years of experience in injection molding, with a focus on microinjection processes. Proficiency in CAD/CAM software (e.g., SolidWorks, Autodesk Fusion, Hypermill). Deep understanding of thermoplastics and other materials used in microfluidic manufacturing. Proven track record of effectively manufacturing micro‑scale components. Excellent written and verbal communication skills. Preferred: Experience working in cleanroom environments. Familiarity with automation systems and robotics for molding operations. Knowledge of advanced inspection systems for micro‑scale manufacturing. Experience in early‑stage startups or innovative product development settings. What We Offer A collaborative and dynamic work environment where your contributions directly impact our success. Opportunities to work on cutting‑edge 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. We value diversity and inclusion, welcoming individuals from all backgrounds, experiences, and perspectives. If you are passionate about innovation and precision manufacturing, apply today to help shape the future of microfluidics. #J-18808-Ljbffr

A premier talent firm seeks a Technical Solutions & Support Specialist to provide expert support for customer systems in New York. In this role, you will work directly with clients to ensure fast and effective solutions while collaborating closely with the internal engineering teams. The ideal candidate will have a relevant degree, excellent communication skills, and a strong technical background. Salary ranges from $80,000 to $120,000 USD, accompanied by comprehensive benefits including full medical coverage, flexible work environment, and opportunities for relocation. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading enterprise software provider is seeking a Machine Learning Engineer to focus on distributed vLLM infrastructure. This role involves architecting new features, optimizing performance, and collaborating with cross-functional teams. Ideal candidates will have strong skills in Python and GoLang, experience with Kubernetes, and the ability to lead in a dynamic, innovative environment. Benefits include comprehensive medical coverage, a 401(k) plan, and generous paid leave policies. #J-18808-Ljbffr

**Role Number:** 200*********** Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Are you passionate about changing the world? We have a critical impact on getting high quality functional products to millions of customers quickly. You will be working with a team of expert C programmers on system level validation (correctness, performance, and debugging) of video compression sub-systems in silicon. **Description** As part of the silicon validation team, you will perform block and system-level validation of video compression subsystems in Apple silicon. Work with designers and architects to understand the operation of hardware video compression blocks at the block and system levels. Participate in architecture and design specification review Investigate the use cases, system-level operation, and performance requirements. Develop low-level software to validate functionality, conformance, and performance of video compression blocks. Participate in the hardware video compression blocks validation on simulator, emulation, FPGA and silicon. Work with other members of the validation team to incorporate your tests into system-level tests. Bring-up and debug devices on new hardware platforms. **Minimum Qualifications** + A minimum of a bachelor's degree and a minimum of 3 years of relevant industry experience in silicon validation software engineering or related field **Preferred Qualifications** + Knowledge of video standards such as H.264/AVC, HEVC, and AV1. + Experience with hardware compression engines is a plus. + Solid programming skills in C/C++ Experienced with embedded systems programming + Device driver experience a plus. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

A leading aerospace company in Boston is seeking an experienced engineer in Guidance, Navigation & Control to develop RPO algorithms and optimize trajectories for aerospace applications. The role requires a strong background in simulation tools, programming, and the ability to work with multidisciplinary teams. This position offers a competitive salary, along with benefits such as equity, comprehensive health insurance, and opportunities for professional growth. #J-18808-Ljbffr

A leading life science company in Boston is seeking a Senior Micro Injection Molding Engineer to optimize microinjection molding processes for microfluidic devices. The role requires a Bachelor's degree in Mechanical Engineering and 5+ years of experience in injection molding. Candidates should be proficient in CAD/CAM software and possess strong communication skills. This position offers a dynamic work environment, opportunities to work on cutting-edge technologies, and comprehensive benefits, including health insurance and equity options. #J-18808-Ljbffr

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