Engineer jobs in Boston, MA - 2,641 jobs

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

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

A leading 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 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

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 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

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, disseminates innovative patient therapies and scientific discoveries around the world, and reduces 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. Minimum Job Qualifications 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. Primary Duties and Responsibilities 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 having vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. 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. Supervisory Responsibilities None. Patient Contact None. 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 who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Equal Opportunity 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. EEO Poster Poster's link placeholder 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). Salary Range $154,000.00 - $184,500.00 #J-18808-Ljbffr

This position analyzes security engineering solutions, framework, roadmap, program optimization, process engineering, risk remediation, and mitigation of operational risk in a high-velocity culture by introducing technology, requirements, deliverables, gaps and systems design. Analyzes competitive strategies, cyber technologies, metrics models, and performance indicators. Position Compensation Range: $111,000.00 - $189,000.00 Pay Rate Type: Salary Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates. Primary Accountabilities Develops, integrates, and tests cyber products. Researches, engineers, and integrates new security solutions. Performs cyber defense incident triage, including determining scope, urgency, and potential impact, identifying the specific vulnerability. Builds strong relationships with peers across functions through collaborative engineering operations and initiatives. Designs and implements automated solutions to enable security needs. Designs and develops system-security measures to ensure cybersecurity is fully integrated. Validates current and future-state architectural models to assess impact across all cybersecurity technology systems. Develops enterprise tools and applications to manage access to enterprise data, systems and resources. Analyzes security access risk gaps and recommends mitigating and compensating security controls. Specialized Knowledge & Skills Requirements Python programming with experience in audit/compliance Interest in and experience with data analysis. XSOAR experience desired. Demonstrated experience providing customer-driven solutions, support or service. Solid knowledge and understanding of software engineering architectures, system/software designs, and system deployments. Solid knowledge and understanding of Cyber Security, Cyber Engineering, Computer Science, Software Engineering. Solid knowledge and understanding of security technologies and application development methodologies. Demonstrated experience performing cyber threat analysis and incident response. Working knowledge of penetration testing. Solid knowledge and understanding of directory services and identity stores. Licenses: Not Applicable. Travel Requirements: Up to 10%. Physical Requirements: Work that primarily involves sitting/standing. Working Conditions: Not Applicable. Additional Information Offer to selected candidate will be made contingent on the results of applicable background checks. Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions. Sponsorship will not be considered for this position unless specified in the posting. In this flex office/home role, you will be expected to work a minimum of 10 days per month from one of the following office locations: Highly preferred - Boston, MA 02110 / Secondary location-Madison, WI 53783; Candidates must reside within a 50-mile radius of the office location (or 35-mile radius for Boston) Internal candidates are encouraged to apply regardless of location and will be considered based upon the needs of the role. We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full‑time employees). In addition, our student loan repayment program and paid‑family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits. We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non‑discrimination, non‑harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email *************** to request a reasonable accommodation. #J-18808-Ljbffr

A leading global energy company is looking for an experienced engineer to join their Generation Engineering team in Boston. The role focuses on improving operational technology and reliability of fleet assets while ensuring cybersafety. Candidates should have at least 8 years of relevant experience, strong skills in SCADA and OT, and effective communication abilities. The position requires some traveling to asset locations. Competitive compensation and opportunities for growth are offered. #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

About the Company Critical Process Filtration, a TCPA Company, a leading manufacturer of high-quality filtration solutions for pharmaceutical, electronics, process water, and gas filtration is looking for a Applications Filtration Engineer. About the Role The Applications Filtration Engineer will support the development, evaluation, and optimization of filtration technologies across a broad range of bioprocessing and industrial applications. This role plays a key part in shaping next-generation products through experimental research, customer application analysis, and cross-functional collaboration. The Applications Filtration Engineer will be responsible for designing studies, generating performance data, supporting product development, and ensuring our filtration solutions meet both technical and customer-driven requirements. This role offers the opportunity to contribute directly to innovative filtration solutions that serve high-growth global markets. Responsibilities Technology & Application Development Support the development and characterization of filtration technologies including normal flow filtration, tangential flow filtration, and solid/liquid separation systems. Design and execute laboratory experiments to assess filter performance, validate test methods, and evaluate new materials and device configurations. Analyze performance data and use statistical tools to develop insights, optimize designs, and provide recommendations for product improvements. Translate customer application needs into engineering requirements to guide internal R&D efforts. Customer & Market Support Partner with sales, marketing, and product management to provide technical expertise for key customer applications. Assist in field evaluations, prototype testing, and troubleshooting to ensure optimal performance in customer processes. Support the preparation of technical documentation, application notes, presentations, and training materials. Cross-Functional Collaboration Work closely with manufacturing, quality, regulatory, and engineering teams to ensure product readiness and alignment with customer expectations. Participate in product development reviews and provide data-driven input on design, performance, and application requirements. Engage with internal stakeholders to drive continuous improvement in test methods, product understanding, and application knowledge. Innovation & Research Identify emerging filtration technologies, materials, and methods that can enhance performance or open new market opportunities. Contribute to intellectual property development, internal reports, and industry conference presentations. Qualifications Bachelor's, Master's, or PhD in Chemical Engineering, Biochemical Engineering, Biomedical Engineering, Mechanical Engineering, or another STEM discipline. Relevant experience in biotechnology, bioprocessing, filtration, or related laboratory research. Strong understanding of filtration principles, membrane technologies, or downstream bioprocessing. Experience designing and conducting laboratory experiments and developing test methods. Proficiency with statistical analysis, DOE, and data processing tools (e.g., Minitab, Excel, Python, MATLAB). Familiarity with data acquisition systems, sensors, and laboratory instrumentation. Knowledge of computational modeling or fluid dynamics (e.g., COMSOL) is a plus. Effective communication skills with the ability to present technical information to multiple audiences. Demonstrated problem-solving ability and a track record of technical accomplishments. Equal Opportunity Statement Critical Process Filtration is proud to be an equal opportunity employer. EEO Statement: We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.

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

We are seeking a highly skilled Mechanical Engineer with strong technical and analytical capabilities to support the development of mechatronics systems. The ideal candidate will have experience in both prototype and production-level designs and a proven ability to deliver results efficiently. Responsibilities + Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks. + Perform mechanical tolerance stack-up analysis and related engineering calculations. + Create mechanical assemblies for electronics and automation systems. + Support rapid prototyping and production tooling processes. + Collaborate with cross-functional teams to ensure design feasibility and manufacturability. + Manage projects using Agile PLM tools and methodologies. + Communicate technical concepts clearly through documentation and presentations. Essential Skills + Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field. + Proficiency in SolidWorks MCAD software for 3D modeling and 2D drafting. + Experience with Agile PLM systems. + Strong knowledge of mechanical assemblies, electronics integration, and automation design. + Expertise in mechanical tolerance analysis. + Hands-on experience with rapid prototype tooling and production tooling. + Proven project management skills. + Excellent communication and technical writing abilities. Additional Skills & Qualifications + Thermal simulation analysis. + Structural load analysis. The role will require 30% travel Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $140000.00 - $150000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Jan 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

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

Join us in this role where you'll work within the Generation Engineering team and global operational Technology & Security utilizing technical expertise and engineering methods to increase reliability of fleet assets, thus reducing plant downtime. You'll be working with a wide variety of control systems, analysing processes, and making improvements, as well as gaining experience in other systems which are critical for our assets operations. You'll be raising the standards for Supervisory Control and Data Acquisition (SCADA) and cyber security. Welcome to Americas Generation Engineering You will join the global Generation Technology & Security team, focusing on our Americas assets. Together with your colleagues, you will address both complex and routine engineering challenges faced by the operational asset portfolio and help drive change through to completion. Your job will be to onboard existing and new sites into the OT community as well as provide practical and efficient solutions to these problems using the tools available. You'll also be one of the regional focal points for our global support team. As a team, we create good engaging relationship with different stakeholders, identify shortcomings in existing business practices, and suggest and implement improvements. You'll play an important role in: supporting the organization in implementing existing and new assets into the global OT organization driving operational excellence through watertight cybersecurity for all our asset sites by proactively addressing immediate and long-term issues and opportunities, maintaining integrity all the while working with internal and external suppliers to remedy issues and implement new functionalities maintaining the integrity of OT systems by preventive maintenance and lifecycle management troubleshooting all assets OT systems when needed. To succeed in the role, you: demonstrate strong SCADA, OT, and IT knowledge, have a curious mindset, and an innovative approach to problem solving with at least eight years of experience in a related role are enthusiastic about physical and online security and proactively intervene to make our workplaces hazard-free are competent in analysing system processes and the control of them possess effective communication skills that allow you to achieve results in teams with many stakeholders and enjoy working on complex, challenging, and often ambiguous tasks are able to work in an organized way in changing environments. Maybe you've read the above and can see you have some transferable skills, even though they don't quite match all the points. If you think you can bring something to the team, we still encourage you to apply. Shape the future with us Send your application to us as soon as possible. We'll be conducting interviews on a continuous basis and reserve the right to take down the advert when we've found the right candidate. As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com. Please note that you're expected to do some travelling in relation to your work, as you'll be going to asset location to work on equipment as well as training and team meetings in the US and Europe as needed. Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position. #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

The Artificial Intelligence & Machine Learning Engineer/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 Artificial Intelligence & Machine Learning Engineer/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, disseminates innovative patient therapies and scientific discoveries around the world, and reduces 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. Primary Duties and Responsibilities Meeting and consulting scientists requiring machine learning & AI support and designing plans and solutions. Delivering results for projects on‑time and on‑budget. Working as part of the broader team to identify longer‑term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluating and benchmarking new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem‑solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Experience with one 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. Minimum Job Qualifications Bachelor's degree required. 1 year of relevant experience required. 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. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None 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 who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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. EEO Poster 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). $90,400.00 - $106,400.00 #J-18808-Ljbffr

We are seeking a highly skilled Mechanical Engineer with strong technical and analytical capabilities to support the development of mechatronics systems. The ideal candidate will have experience in both prototype and production-level designs and a proven ability to deliver results efficiently. Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks. Perform mechanical tolerance stack-up analysis and related engineering calculations. Create mechanical assemblies for electronics and automation systems. Support rapid prototyping and production tooling processes. Collaborate with cross-functional teams to ensure design feasibility and manufacturability. Manage projects using Agile PLM tools and methodologies. Communicate technical concepts clearly through documentation and presentations. Skills Mechanical, Design, Solidworks, cad, metal fabrication, plm, machine design, gd&t Top Skills Details Mechanical,Design,Solidworks,cad,metal fabrication,plm Additional Skills & Qualifications Nice to Have: Thermal simulation analysis Structural Load Analysis Required: Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field. 5+ years of experience in mechanical design and product development. Proficiency in SolidWorks MCAD software for 3D modeling and 2D drafting. Experience with Agile PLM systems. Strong knowledge of mechanical assemblies, electronics integration, and automation design. Expertise in mechanical tolerance analysis. Hands-on experience with rapid prototype tooling and production tooling. Proven project management skills. Excellent communication and technical writing abilities. Experience Level Expert Level Job Type & Location This is a Contract position based out of North Reading, MA. Pay and Benefits The pay range for this position is $140000.00 - $150000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in North Reading,MA. Application Deadline This position is anticipated to close on Jan 23, 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