Engineering Structures Jobs in Saugus
283 positions found — Page 15
Our client is a U.S. based engineered manufacturing organization that designs and produces highly technical, build-to-print components for OEM customers across regulated and high-growth markets. The business is expanding vertically and is seeking a Key Account Sales Executive to lead account management and sales within this space on the east coast.
This is a true customer service role focused on the inside sales development of OEM accounts. The successful hire will maintain long-term relationships that move through engineering validation into recurring production programs. This role is heavily focused on account management and customer service rather than business development.
The role works closely with engineering and operations and is suited to someone comfortable navigating long, technical sales cycles within regulated environments.
Key Responsibilities:
- Serve as the primary commercial point of contact for assigned OEM customers
- Focus on equipment manufacturers within the industrial manufacturing space
- Work closely with internal engineering teams once opportunities enter testing and development
- Align customer outlooks with internal capacity and inventory planning
- Manage complex sales cycles involving technical, quality, and commercial stakeholders
Compensation:
- Competitive base salary with flexibility for the right candidate
- Uncapped incentive plan aligned to opportunity creation and new business development
- Long-term upside tied to conversion of opportunities into recurring production business
Required Skills:
- Minimum of 3 years proven experience within customer service or account management
- Background selling engineered components, materials, or build-to-print products
- Comfortable with long sales cycles, validation processes, and technical buying groups
- Strong account management and customer service skills
- Able to engage credibly with engineering, quality, and operations stakeholders
This includes performing daily portfolio management activities, such as rebalancing risk and evaluating tactical relative-value tradeoffs, while also contributing to the research of alternative hedging strategies employing simulation and back-testing techniques.
The Quantitative Credit/Derivative Portfolio Manager will work closely with teams across Investment Management, Barings, Enterprise Risk, Corporate Finance, and Strategic Distribution.The Team:The Quantitative Portfolio Management (QPM) team has primary focus in asset-liability management (ALM), product pricing, and the formulation and execution of quantitative strategies that enhance policyholder surplus and mitigate unwanted risks in the portfolio.
The team oversees all derivative-related aspects of MassMutual's portfolio management process, managing exposure to interest-rates, foreign exchange rates, Credit spreads, volatility, and equity.
A small and highly collaborative team, QPM works with other groups across Investment Management to manage MassMutual's product portfolios and the approximately $250 billion General Investment Account (GIA).
In addition, this high-profile group works with our other internal stakeholders including product, actuarial, treasury, accounting, risk, compliance, and external partners, including our primary asset management subsidiary Barings and the major Wall Street derivative broker/dealer counterparties.The Impact:The Quantitative Credit/ Derivative Portfolio Manager will be accountable for the following:Responsible for daily portfolio management activities like execution of new hedges, roll of existing ones, and trade input as well as review of current risk, recent activity, attribution, profit and loss, and modeling of credit exposure in different portfoliosIdentify market opportunities, analyze alternative hedging strategies, propose and implement frameworks for relative value positioning, and suggest transactions, to increase hedge effectiveness for portfolio managementLead bespoke simulation, back-testing and/or other research projectsCollaborate with colleagues in other areas of MassMutual as needed – enterprise risk, corporate actuarial, finance and accounting, etc.The Minimum Qualifications:7+ years of derivative market experience in at least one of the following: listed and OTC equity options, TRS, futures/forwards, CDX, interest rate swaps/swaptions, and cross- currency swaps7+ years of market expertise in fixed income portfolio management, with exposure to structured & private credit Bachelors in Math, Financial Engineering, Computer Science or related fieldThe Ideal Qualifications:10+ years of derivative market experienceAdvanced quantitative degree (MFE, PhD)Strong background/understanding of capital markets and financial instrumentsStrong quantitative expertise: statistics, mathematics, and computer science (python / SQL required)Ability to develop market views in Credit and Fixed-Income Strong understanding of portfolio management and ALMDeep knowledge of derivatives in all dimensions – risk, economics, tax, accountingStrong background/understanding of capital markets and financial instruments Strong understanding of portfolio management and ALM in a life insurance companyStrong communication skills and ability to convey technical topics to non-expertsWhat to Expect as Part of MassMutual and the Team :Regular team meetingsFocused one-on-one meetings with your managerNetworking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource GroupsAccess to learning content on Degreed and other informational platformsYour ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-FT1MassMutual is an equal employment opportunity employer.
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We are supporting the launch of a new robotics and automation engineering hub for a well-established global industrial technology company with approximately $400M in annual revenue.
This facility will serve as a center of excellence, combining office space with a hands-on production and integration environment for the design, assembly, and implementation of advanced robotic solutions.
This is a hands-on role responsible for overseeing day-to-day operational, facilities, and production support activities to ensure efficient and safe execution across the site.
Responsibilities:
Inventory & Supply Chain Management
- Receive and inspect incoming parts and materials for accuracy and quality
- Maintain inventory records and perform regular stock audits
- Coordinate with suppliers to resolve discrepancies and ensure timely fulfillment
- Track shipments and monitor delivery schedules
Production Coordination
- Schedule and coordinate work with assembly contractors and external vendors
- Ensure proper documentation and build instructions are provided
- Monitor production timelines and address issues that may impact delivery
- Support quality checks during and after assembly
Plant Safety & Compliance
- Implement and maintain workplace safety procedures in accordance with regulations
- Conduct routine safety inspections and address potential hazards
- Maintain safety records and documentation
- Provide safety guidance and training for employees and contractors
Facilities Management
- Oversee day-to-day maintenance of the engineering and production facility
- Coordinate minor repairs, equipment upkeep, and workspace organization
- Ensure the facility remains clean, safe, and optimized for efficient operations
- Manage external vendors for major repairs, maintenance, or upgrades
Purchasing & Vendor Management
- Source and procure parts, materials, tools, and equipment
- Obtain and compare quotes, negotiate pricing, and manage supplier relationships
- Track purchases and maintain expense records
- Maintain a database of approved suppliers and contractors
Operational & Administrative Support
- Maintain operational documentation related to inventory, production, and facilities
- Prepare reports on operational performance and recommend improvements
- Track budgets related to supplies, contractors, and facility needs
- Support onboarding and coordination of contractors or new team members
Cross-Functional Collaboration
- Partner closely with engineering, logistics, and leadership teams to support program execution
- Provide regular status updates and escalate operational risks or issues
Process Improvement
- Identify workflow inefficiencies and implement operational improvements
- Proactively resolve issues to minimize delays and disruptions
Qualifications
- Experience in operations, facilities, manufacturing, or production environments
- Strong organizational, multitasking, and problem-solving skills
- Knowledge of inventory management and supply chain processes
- Familiarity with manufacturing, assembly, or hardware environments
- Understanding of workplace safety standards and compliance
- Proficiency with tools or software for inventory tracking, scheduling, and reporting
- Strong communication skills and ability to work cross-functionally
- Hands-on, self-starter mindset comfortable in a fast-paced environment
About the Opportunity
- New robotics engineering hub located north of Boston with modern office and production lab space
- Opportunity to help build and scale operations from the ground up
- Backed by a stable, globally recognized industrial technology organization
- Strong growth plans and long-term career development potential
AgZen’s mission is to make agrochemical spraying more efficient and eliminate pesticide waste. Our products allow farmers to use up to 50% less agrochemicals while improving pest control, crop health, and yield. We are a vibrant startup based in Boston, Massachusetts, and we are committed to helping farmers save money and preventing the over-spraying of agrochemicals.
Founded out of MIT and backed by $13.5M in funding from DCVC and Material Impact, our multidisciplinary team of engineers and scientists is redefining sustainable farming with breakthrough technology. We’re not just improving agriculture, we’re reimagining what’s possible.
About the Role:
The Product Management team is responsible for defining, developing, and scaling AgZen’s product line that combines sensing, computer vision, and data analysis to fundamentally improve spraying. The team works across hardware, software, and field operations to ensure products meet performance goals and deliver measurable impact for growers.
As a Product Manager, you will guide the roadmap and execution of AgZen’s RealCoverage system and related spray optimization products. You will translate customer needs, technical constraints, and business priorities into clear direction for cross-functional teams, helping AgZen bring reliable, high-performing products to market at scale.
This role is located in Somerville, MA (Boston area) with work required to be in-person.
What You’ll Do:
- Define and manage the roadmap for RealCoverage and future spray optimization products.
- Translate customer and field insights into product requirements and priorities.
- Collaborate with engineering on specifications, trade-offs, and release planning.
- Partner with field operations and commercial teams to validate performance and usability in real-world conditions.
- Guide product evolution from real-time measurement toward predictive and prescriptive capabilities.
- Support scaling efforts as AgZen transitions from pilot to large-scale commercial deployments.
- Communicate product goals, progress, and dependencies across engineering, field, and business teams.
What We're Looking For:
- Bachelor’s degree in engineering, computer science, or a related technical field preferred.
- 5+ years of experience as a Product Manager or Technical Program Manager in robotics, autonomous systems, or other hardware/software products.
- Strong technical understanding of sensing, embedded systems, and AI/ML development.
- Proven ability to manage technically complex products and balance customer, technical, and business needs.
- Experience collaborating with cross-functional teams, including engineering and field operations.
- Comfortable working in both lab and field environments and adjusting to real-world constraints.
- Strong organizational and communication skills; able to work independently in a fast-paced, early-stage company.
- Familiarity with agriculture, agtech, or industrial systems is a plus.
What we offer: The opportunity to make an immediate and visible impact in a fast-growing company, competitive salaries, early-employee equity, 401(k) with employer matching, generous PTO and paid holidays, health, dental, and vision insurance.
Senior Research Director– Brain-Computer Interfaces / Neural Engineering
This is not a country-specific role, but a long-term research and engineering platform with flexible engagement models.
Flexible engagement: remote collaboration, hybrid participation, or on-site involvement, depending on individual preference.
We are connecting with PhD-level researchers or engineers working in brain-computer interfaces, neural engineering, or neurotechnology within leading universities or global R&D environments.
The initiative focuses on advancing next-generation neural interface technologies, supported by national-level funding and collaboration with universities, research institutes, and industrial partners.
Technical Focus Areas
Brain-Computer Interfaces & Neural Signal Systems
- Brain-computer interface systems and neural interfaces
- Neural signal acquisition (EEG, ECoG, intracortical recording)
- Neural decoding and brain signal processing
- AI / machine learning for neural signals
Implantable Neural Interfaces & Neuroelectronics
- Implantable neural interfaces and neural probes
- Electrode arrays and neural implants
- Neural recording chips and neuroelectronics
- Wireless neural interface systems
Neuroprosthetics & Clinical Neurotechnology
- Brain-controlled prosthetics
- Neurorehabilitation technologies
- Neuromodulation and neural stimulation systems
Candidate Profile
- PhD completed before 2022
- PhD from a QS Top 100 university
Currently either:
Academic Path Faculty member or researcher at a QS Top 200 university
Industry Path Research scientist, senior engineer, or technical lead within a Fortune Global 500 company or advanced neurotechnology company.
Platform Highlights
Flexible engagement Remote, hybrid, or on-site collaboration.
Research funding Access to dedicated funding for neurotechnology development.
Cross-sector collaboration Work across neuroscience, AI, robotics, and biomedical engineering.
Initial conversations focus on understanding expertise and potential collaboration pathways.
Are you ready to take the next step in a career that’s both challenging and deeply rewarding? Your skills in the following areas will make you an ideal candidate for this role -
Hardware (console) manufacturing of a FDA regulated medical device and/or an in-depth knowledge of complex medical device injection molding and plastic joining techniques (ultrasonic/RF/laser welding, adhesive bonding.) A background in automation, high mix/low volume, the ability to anticipate roadblocks and provide a high level of team leadership.
Our client, located in the Greater Boston area, is a commercial-stage medical device company transforming transplant care through advanced technology that increases access to viable donor organs. Their innovations have dramatically improved patient survival and recovery—and they’re just getting started.They are hiring a Principal Manufacturing Engineer – NPI to lead new product introduction and scale high-impact technology that supports clinical care, service excellence, and life-saving outcomes. This role is ideal for a strategic, hands-on engineer who thrives in fast-paced, mission-driven environments.
Responsibilities
This position is responsible for, but not limited to, the following:
- Serve as the technical project leader for NPI manufacturing activities, driving the development and commercialization of products.
- Provide strategic oversight of manufacturing readiness for new product introductions, ensuring alignment of engineering resources, project schedules, and cross-functional deliverables.
- Lead cross-functional collaboration with Product Development, Quality, Regulatory, Supply Chain, and Manufacturing Operations to ensure robust, scalable, and compliant processes.
- Coordinate, identify, and implement advanced manufacturing processes to ensure production capacity, efficiency, cost-effectiveness, and adherence to quality standards.
- Define project plans, timelines, and resources needed to support NPI manufacturing programs, ensuring accountability for milestones and deliverables.
- Apply in-depth technical expertise to specify, design, and validate equipment, tooling, fixtures, and automation used in production.
- Drive PFMEA, DFM/DFA, and design transfer activities to establish capable, efficient, and risk-mitigated manufacturing processes.
- Develop manufacturing assembly and test methods that ensure Critical to Quality (CTQ) and Critical to Assembly (CTA) requirements are met.
- Establish and track Key Performance Indicators (KPIs) and process capability metrics using statistical tools such as MSA, GR&R, and SPC.
- Represent externally and internally as a manufacturing subject matter expert (SME), ensuring effective knowledge transfer to production and suppliers.
- Mentor and guide junior engineers and technical staff, fostering a culture of engineering rigor, accountability, and innovation.
- Perform other tasks and duties as assigned/required.
- BS in Mechanical Engineering or related engineering discipline required.
- 10+ years of experience in an FDA/ISO-regulated medical device or medical equipment manufacturing environment.
- Are you ready to take the next step in a career that’s both challenging and deeply rewarding? If you have a background with
- Proven leadership in the selection, qualification, and scale-up of capital assembly equipment and automation.
- Advanced degree preferred.
- Demonstrated expertise in automated assembly methods, robotics, automated inspection, and fixture/tooling design.
- Strong knowledge of injection molding and plastic joining techniques (ultrasonic/RF/laser welding, adhesive/solvent bonding).
- Proficiency in SolidWorks for 3D modeling and design of assembly models, fixtures, and tooling.
- Lean Six Sigma experience and proficiency in statistical data analysis tools (Minitab or equivalent) strongly preferred.
- Strong project management skills, with demonstrated accountability for planning, execution, and delivery of NPI milestones.
- Exceptional leadership and interpersonal skills, with ability to influence and align cross-functional teams.
- Excellent verbal and written communication skills, with the ability to present technical and project information to leadership and stakeholders.
- Proven ability to thrive in a fast-paced, dynamic environment, with adaptability to shifting priorities.
- Ability to work independently with high competency, while also driving and coordinating team-based execution.
- Medical with Health Reimbursement Account through Blue Cross/Blue Shield of MA
- Dental
- Vision
- Healthcare Flexible Spending Account
- Dependent Care Flexible Spending Account
- Short Term Disability
- Long Term Disability
- 401K Plan
- Pet insurance
- Employee Stock Purchase Plan
#ZR
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
Primary Skills: PLC (Expert), HMI (Advanced), Python (Expert), Rockwell (Advanced), Siemens (Proficient)
Contract Type: W2
Duration: 2+ Months with Possible Extension
Location: North Reading, MA ()
Pay Range: $62.00 - $67.00 Per Hour
#LP
Job Summary:
We are seeking a skilled Controls Systems Engineer with strong experience in automation and industrial machinery to join our engineering team. This role requires hands-on expertise in PLC and HMI development (Rockwell, Siemens), equipment commissioning, and troubleshooting of electrical and software systems in manufacturing environments. The ideal candidate will also develop Python-based utilities to support robotic operations and collaborate cross-functionally to drive system improvements, technical innovation, and operational excellence.
Key Responsibilities:
- Design and develop PLC, HMI, control programs for automated packaging machinery (Rockwell, Siemens)
- Support equipment startup, debugging, and commissioning at the facility and occasionally at field sites
- Provide troubleshooting support to assembly teams and field service technicians for electrical and software-related issues and develop system upgrades, enhancements, and solutions for field-reported issues
- Collaborate with engineering and project management to support project schedules and machine build timelines
- Deliver documentation for designs as well as training and work instructions for field operation
- 3+ years of experience in automation, controls engineering, or machinery manufacturing
- Hands-on experience with PLCs (Rockwell, Siemens) and python
- Develop and maintain python utilities used in robot operation, deployment, and debug environments.
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
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Patent Attorney – Intellectual Property (Boston, MA)
A nationally recognized law firm is seeking an experienced Patent Attorney to join its Intellectual Property Practice Group in Boston, MA. This position also offers flexibility for remote work.
The firm is committed to fostering a diverse and inclusive workplace and encourages talented individuals from a wide range of backgrounds, experiences, and perspectives to apply.
This role offers the opportunity to work on sophisticated intellectual property matters within a collaborative environment, advising innovative clients across a variety of industries.
Responsibilities
- Draft and prosecute patent applications before the United States Patent and Trademark Office (USPTO)
- Manage domestic and international patent prosecution matters
- Support patent prosecution activities before foreign patent offices
- Advise clients on patent strategy, portfolio development, and protection of intellectual property assets
- Collaborate with attorneys and technical specialists across the intellectual property practice
- Maintain strong client relationships while delivering high-quality legal services
Qualifications
- 8–15 years of patent prosecution experience
- Demonstrated experience drafting patent applications and prosecuting patents before the USPTO
- Experience coordinating with foreign counsel on international patent matters
- USPTO admission required
- Undergraduate degree in Electrical Engineering, Biomechanical Engineering, Mechanical Engineering, Computer Science, Physics, or a related technical field
- At least 3–5 years of law firm experience
- Strong academic credentials, analytical skills, and communication abilities
Preferred Qualifications
- Advanced technical degree
- Experience working with medical device technologies
Compensation
The anticipated salary range for this position is $150,000 – $210,000, depending on experience and qualifications.
In addition to a comprehensive benefits package, the role may also be eligible for performance-based or discretionary compensation, depending on factors such as experience, performance, and qualifications.
What the Firm Offers
- Collaborative and innovative work environment
- Opportunity to work on sophisticated intellectual property matters
- Flexible and remote working options
- Competitive compensation and benefits
Title: Senior Technical Support Engineer (Care Delivery)
Employment Type: 6-Month Contract-to-Hire
Start Date: ASAP
Work Model: Hybrid – 3 days onsite required
Eligible Locations: Boston, MA | Raleigh, NC | Dallas, TX | Waterloo, Ontario (Canada)
Compensation: 65-68/hr
About the Role
We are hiring a Senior Technical Support Engineer to support a complex production application environment focused on care delivery workflows. This is a hands-on troubleshooting role for someone who enjoys diagnosing real system problems — not a developer stop-gap role.
You will investigate live production issues, analyze application behavior, read backend code, execute SQL queries, and either resolve problems directly or partner with engineering teams to drive fixes.
The ideal candidate is a career technical support professional who takes ownership of issues and thrives in a high-impact operational environment.
What You’ll Do
- Reproduce and diagnose complex production issues
- Read and interpret object-oriented backend code
- Execute advanced SQL queries to validate system behavior
- Identify root cause and resolve issues when possible
- Escalate bugs to engineering with clear technical documentation
- Support ongoing operational stability of the platform
- Work within ticketing systems to manage incidents
- Improve support tooling and workflows
- Collaborate cross-functionally with engineering and operations teams
Required Qualifications
Technical
- Strong object-oriented programming background in Java, Go, or Python (must be strong in at least one)
- Advanced SQL querying skills
- Application-level troubleshooting experience
- Ability to read and debug code (not just run scripts)
- Experience working within ticketing/incident systems
Preferred Qualifications
- Experience as a Senior/Staff/Principal Technical Support Engineer
- Python scripting or automation experience
- Exposure to AI workflow optimization
- Healthcare or life sciences industry experience (nice to have)
Ideal Candidate Profile
- Senior application support engineer (career support track)
- Comfortable reading production code daily
- Strong ownership mindset — drives problems to resolution
- Not a developer seeking a temporary role
- Enjoys deep troubleshooting and operational stability work
Additional Details
- 6-month contract to hire
- Hybrid (3 days onsite required)
- Candidates must reside in Boston, Raleigh, Dallas, or Waterloo
- Immediate start preferred
