Engineering Structures Login Jobs in Hull Massachusetts
253 positions found — Page 13
Enterprise Account Executive US
Series C Scale Up - AI Engineering
Salary: $300,000 – $400,000 OTE (50/50)
Location: United States – Remote
We’re partnering with an innovative deep-tech scale-up transforming how engineering teams run complex design/building processes.
Their platform enables engineering and R&D teams to run high-performance development dramatically faster than traditional tools, helping accelerate product innovation across industries like aerospace, automotive, semiconductors, and advanced manufacturing.
They’re now looking for a high-performing Enterprise Account Executive to drive growth across the US market.
What you’ll be doing
• Own the full enterprise sales cycle from prospecting through to closing
• Target large engineering-led organisations (5,000+ employees) across the US
• Sell directly to VPs of Engineering, Simulation Leaders, and R&D teams
• Lead technical evaluations, pilots, and proof-of-concepts with engineering stakeholders
• Build and execute a strategic territory plan to generate and convert pipeline
• Expand and grow relationships within enterprise accounts
What they’re looking for
• 5+ years experience in enterprise technology sales
• Experienced selling complex, strategic AI platforms into large enterprise organisations
• Major focus on new business and a track record of large quota overachievement
• Ability to learn complex new technologies and create value within technical audiences
• Proven track record closing mid/high-six figure enterprise deals
• Experience selling technical software to engineering, R&D, or technical teams
• Experience selling into aerospace, automotive, manufacturing, logistics, defense companies
• Thrives in a high-growth scale-up environment
*Follow Scout Global for more roles like this*
Clearance Requirement: Active DoD Clearance (Required)
Certification Requirement: IAT Level II certification required (or obtainable within 6 months of hire)
Position Overview
We are seeking a motivated Cloud Systems Engineer . This entry-level engineering role focuses on ensuring stability, scalability, and reliability of cloud-based systems supporting mission-critical applications.
The selected candidate will collaborate with senior engineering teams to support cloud platforms, assist with system integration activities, and maintain distributed virtual environments operating within secure enterprise networks.
Key Responsibilities
- Support stability, sustainability, and performance of enterprise cloud-based infrastructure and software systems
- Assist in system integration, verification, validation, and operational support activities
- Monitor and maintain distributed virtual machine environments across cloud platforms
- Implement proactive engineering mechanisms to maintain system health and availability
- Perform functional analysis, system evaluations, and technical trade studies
- Troubleshoot system performance, configuration, and operational issues
- Develop and maintain technical documentation, procedures, and runbooks
- Collaborate with engineering teams to improve automation and operational efficiency
- Ensure compliance with DoD cybersecurity standards and operational requirements
- Participate in continuous learning and technical development initiatives
Required Qualifications
- Bachelor's degree in computer science, Information Technology, Systems Engineering, or related field
- 1–2 year of experience in cloud systems, IT infrastructure, or systems engineering
- Active DoD Security Clearance (required at time of hire)
- Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
- Understanding of Windows or Linux operating systems
- Knowledge of networking fundamentals and virtualization concepts
- Strong analytical and problem-solving skills
- Ability to work effectively in a team-oriented DoD environment
- U.S. Citizenship required
Certification Requirements
- DoD IAT Level II Certification (Security+ CE or equivalent)
- Minimum one cloud certification within 6 months of hire, such as:
- AWS Certified Cloud Practitioner / Solutions Architect Associate
- Microsoft Azure Fundamentals / Azure Administrator
- Google Associate Cloud Engineer
Preferred Qualifications
- Internship or academic experience supporting cloud or infrastructure environments
- Exposure to VMware, Hyper-V, or virtualized environments
- Basic scripting experience (PowerShell, Python, or Bash)
- Familiarity with automation or Infrastructure-as-Code concepts
- Experience supporting Federal or DoD programs
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.
We welcome all persons to apply.If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
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
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
Duration: 6 months
Job Description:
- We are seeking an experienced Accessibility UX Lead to embed within our UX organization and champion inclusive design practices across digital products.
- This role partners closely with Product Designers, Researchers, Content Designers, Engineering, and the central Accessibility program to ensure experiences meet WCAG 2.1 / 2.2 AAA standards while going beyond compliance to deliver meaningful usability for users with disabilities.
- You will play a key role in advancing accessibility maturity and integrating inclusive design into core product workflows.
Responsibilities:
- Embed accessibility into discovery, ideation, and design critiques
- Define and standardize accessible interaction patterns
- Ensure compliance with WCAG 2.1 / 2.2 AAA standards (color contrast, typography, motion, keyboard behavior)
- Review and mitigate accessibility risks prior to engineering handoff
- Partner with Research to support inclusive usability testing and validation
- Validate designs using assistive technologies where appropriate
- Establish and document accessibility standards within the design system
- Create clear accessibility annotations and implementation guidance
- Train and mentor designers on inclusive design best practices
- Elevate accessibility from a compliance requirement to a core product quality principle
Experience:
- 5+ years of experience in Product Design, Interaction Design, or UX
- Deep expertise in accessible interaction design and inclusive design principles
- Strong understanding of:
- Visual accessibility and color contrast standards
- Assistive technologies and keyboard navigation
- WCAG 2.1 / 2.2 AAA guidelines
- Experience influencing cross-functional teams across Design, Research, and Engineering
- Ability to translate accessibility standards into practical, scalable design solutions
Skills:
- Visual accessibility
- WCAG 2.1/2.2 AAA
Education:
- Bachelor's degree or equivalent experience.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Deepak
Email:
Internal Id: 26-04763
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
Company Description
Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.
Contact Email:
Role Description
Full-time | Preference for Boston based candidates
We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models, including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions.
This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding.
Key Responsibilities
- Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures
- Build and manage scalable training pipelines, data curation workflows, and experiment tracking
- Lead research experiments, benchmarking, and exploration of new modeling techniques
- Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models
- Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows
- Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization
- Contribute to Edensign’s long-term technical roadmap and innovation direction
Qualifications
- Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene-reconstruction networks)
- Deep background in Computer Vision, Computer Graphics, 3D geometry, NeRF-like architectures, or multi-view learning
- Familiarity with node-based generative tools (e.g., ComfyUI) is a plus
- Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
- Proficiency in Python and modern ML frameworks
- Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
- Ability to work independently and lead technical direction in a fast-paced startup environment
- Strong analytical, problem-solving, and system design skills
- Excellent communication and collaboration skills
- Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field
- Experience in real estate, architecture, spatial design, or spatial computing is a bonus
- Proficiency in Mandarin is preferred
