Engineer jobs in Fall River, MA - 1,703 jobs

Our Regulatory Engineering team thrives on the challenge of operating in a complex global environment. We ensure product compliance to global regulatory, market and customer requirements in all our target regions. We work across segments and functions to integrate policy relating to emissions, safety and the environment into products and solutions. As we align regulatory standards with our strategic plans, we work closely with regulatory bodies, as well as with industry and customer groups. Join us to do the best work of your career and make a profound social impact as an Energy Compliance Test Engineer at our Global Product Compliance Engineering Lab in Franklin, Massachusetts. What you'll achieve In this position as Energy Compliance Test Engineer , you will be responsible for leading energy compliance testing and certification efforts for Dell Technologies' enterprise products. You will work with cross-functional teams across engineering, sustainability, and regulatory compliance to ensure products meet ENERGY STAR and global energy efficiency standards. Your work will directly support Dell's sustainability goals by enabling energy-efficient product design and reducing environmental impact across our global portfolio. You will: Conduct ENERGY STAR compliance testing using EPA-recognized tools and methods (e.g., SERTTM, SNIA Emerald) and manage operations of Dell's ACT Accredited Lab Coordinate with third-party labs and certification bodies to ensure timely and accurate ENERGY STAR qualification and documentation Interpret and apply ENERGY STAR specifications, test procedures, and labeling guidelines, staying current with program updates and regulatory changes Collaborate with internal teams to support EMI/EMC and product safety compliance, including reviewing test reports and resolving regulatory issues Prepare and maintain detailed documentation, test reports, and certification records for submission to regulatory agencies and internal stakeholders Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 5+ years of experience in regulatory testing, compliance engineering, or energy efficiency programs Experience managing or working in an ACT Accredited Lab Familiarity with ENERGY STAR version 4.0 (Servers) and 2.0 (Storage) specifications Familiarity with SERTTM, power meters, and environmental simulation equipment Excellent analytical, documentation, and communication skills Desirable Requirements Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $124,100 - $160,600. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R281284

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 (%20actalentaccommodation@actalentservices.com) for other accommodation options.

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 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

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute. This role provides support in machine learning, NLP, and computer vision to build reusable and scalable AI/ML tools and pipelines to support Dana-Farber operations, research, and clinical practice. The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients. The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute's research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. 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. Responsibilities: Contribute to the development, deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency. Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy. Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference. Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases. Provide updates on assigned tasks and project progress to multiple groups including the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders. Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives. Qualifications: Bachelor's degree in a related field (Computer Science, Data Science, Engineering) required. Master's degree preferred. 1 year of work experience in machine learning and AI required. Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience. Experience within a clinical or research environment preferred. Knowledge, Skills, and Abilities Required: Excellent communication and effective problem-solving skills. Track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute. Familiarity with Python. R, Databricks, and/or Snowflake experience preferred. Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines. 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. #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 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.

.**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

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 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

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

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 (*********************************************************************************************** .

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.

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

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 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

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