Mechanical design engineer jobs in Johnston, RI

A small, fast growing industrial distributor/manufacturer in Waltham desires a Technical Applications Engineer whose primary role will be to support and lead our sales team, develop new customers and applications and be the primary resource for technical inquiries within our specialty materials fastener business. Extreme Bolt & Fastener is a small company work environment with an office/warehouse located in Waltham, MA. We are seeking an experienced mechanical engineering focusing on applications / sales who, ideally has industry experience or related experience within the industrial, aerospace components, manufacturing or specialty materials industries. This is a key role within Extreme Bolt, giving this person the opportunity to provide engineering expertise and guidance to the sales team. This person will also work directly with a wide range of customers within the aerospace, military, electronics, space, chemicals, nuclear/fusion, oil & gas industries and other high-tech industries. Responsibilities include: Working directly with high profile customers, reviewing drawings/ specifications/material requirements, evaluating vendors, determining pricing, developing quotes and helping the sales team to understand complex requests. The candidate will also be expected to become a technical expert of our products and materials. This person should be able to thrive in a small, fast-paced multi-tasking environment, who has a can-do positive attitude, is flexible and can take initiative on new projects. The company is expanding rapidly, and this person will have a direct impact on the company's direction and capabilities. This is a perfect position for someone who is tired of big company politics, likes the freedom of a small company, wants their work to be impactful and to be a key team member of a team. This person will wear several hats and be able to get involved in many aspects of the business. This is a great opportunity to become a key person and grow with Extreme Bolt & Fastener. Responsibilities - Technical engineering support and lead for sales team. - Provide understand and insight to drawings, specs and other requirements. - Technical interface with new and existing key customers. - Create complex quotes and orders. - Field technical questions and calls from customers. - Deal with technical issues that may develop. Skills Mechanical Engineer with at least 5 years of experience in the fastener industry or related field (industrial components, specialty metals, aerospace parts etc.). Must be able to interpret complex mechanical drawings. Must be able to understand ASTM, ASME, Aerospace and Military specifications. Understanding of different manufacturing processes and techniques. Excellent computer & data skills to manage and create documents and charts. Professional and self-motivated personality. Attention to detail and care for producing quality work. Flexibility to tackle a variety of challenges and comfortable wearing multiple hats

Collette is seeking a Staff Engineer to join our growing Technology team. This is a hybrid role based at our headquarters in Pawtucket, RI. Let Us Show You the World There has never been a better time to be in the travel industry. See the world, connect with others, and experience the immersive benefits of one of the trendiest industries when you join the Collette team! Collette's passionate team works hard to fulfill travel dreams and is always looking for talent that will help to shape the company's future. Being part of the Collette team means having a willingness to grow, a desire to learn and ask questions, and a zest for seeing the world. Collette is all about people. So, what are you waiting for? Your journey starts here. Job Summary We are seeking a Staff Engineer to join our growing team. In this role, you will leverage your deep technical expertise to solve challenging problems, guide technical direction, and mentor junior engineers. At Collette, we're at the beginning of our journey transitioning from a monolithic application stack to a distributed, microservice-based architecture. As a leader in guided travel, we're dedicated to crafting exceptional experiences for our travelers. We are seeking a Staff Engineer to provide technical leadership, design, and implementation of our next generation customer web product. Utilizing a modern cloud-based infrastructure and catering to hundreds of thousands of travelers worldwide. This role requires someone willing to work full stack in a microservices architecture with a front-end built in React and Next.js. A successful candidate will have a broad skillset covering front-end, back-end, cloud technologies in Azure, and DevOps practices in CI/CD. Primary Functions Lead design and development of back-end services in C#, Docker, Kubernetes, and SQL Server and front-end applications in React, Next.js and Node.js. Lead architecture design, code reviews, and technical discussions. Ensure quality via automated testing. Mentor Senior Software Engineers and more junior members on the team in best practices and technologies fostering their growth and development. Advocate for technical excellence by establishing best practices, conducting code reviews, and identifying opportunities for improvement. Collaborate with cross-functional teams including product managers, designers, and other engineers to deliver scalable and reliable software solutions. Stay updated on emerging technologies and industry trends, continuously enhancing your skills and knowledge to drive innovation within the team. Identify and mitigate technical risks, proactively developing solutions to potential problems. Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. Knowledge & Skills Bachelor's degree in computer science (preferred) or related field. 8+ years of relevant work experience, demonstrating a deep understanding of software engineering principles and practices. Proficiency in front-end technologies including React, Next.js and Node.js. Proficiency in API design and development and with cloud engineering, Azure services preferred. Proven track record in building distributed microservices at scale, coupled with expertise in relational databases, preferably SQL Server. Experience mentoring and coaching junior engineers. Strong understanding of software development best practices (e.g., version control, testing, continuous integration/continuous delivery). Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment. Strong communication skills with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Self-starter with a bias for action, a passion for innovation and continuous learning. Experience in the travel industry preferred. Experience in transformational projects from monolithic to decoupled services preferred. Above all, we're seeking an individual who is eager to immerse themselves in our business, embrace emerging technologies, and drive impactful change within our organization.

Norwood, MA On-site Full-time About the job Client Engineering is seeking a mechanical engineer to work with our team of dedicated engineers in the field of building energy efficiency. Successful candidate shall have 2-5 years post academic experience in building energy auditing (ASHRAE Level I and/ or ASHRAE Level II) and HVAC design and/ or commissioning. Experience with eQUEST or Energy Plus building energy simulation programs is a plus. Candidate must have good oral and written communication skills. Responsibilities include performing energy audits and developing new strategies for enhancing building performance.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. This role will support the Shark Business with the development of successful and profitable programs for key products to ensure continued growth of the current portfolios as well as the establishment of new launches. This role is expected to be the market expert in Shark product lines, the competitive landscape, retailer assortments and assist the Legacy Product Development team in creating products that will meet the needs of the changing consumer and retailer requests. If you have a knack for innovation, and enjoy being a part of a winning team, come join us! Here are some of the EXCITING things you'll get to do: Assist with product management activities for new product launches, product improvements, optimizations, and line extensions Support product lines through the growth, active, and end of life stages by providing cross-functional support to resolve product, quality, manufacturing and customer challenges Assist in the creation/management of merchandising, training, digital content support and execution at retail Conduct market research to identify consumer needs and market gaps and analyze the competitive landscape Track product performance, communicate key learnings and developments to appropriate work flows for action Evaluate product optimization and improvement opportunities for cost and consumer impact Work closely with cross-functional teammates to convey the strategic vision and goals for the product line Maximize the value of product line and align with cross-functional teams to ensure successful positioning in the marketplace Work with Product Managers for program launch and execution analysis while maintaining proper feedback to close open initiatives Manage the creation and execution of product support material, such as, in-box collateral, FAQ's, How to Videos and Troubleshooting scripts for online resources and the call center agents Manage the product development of all domestic SKU extensions and work cross functionally to ensure production deadlines are successfully executed Work cross functionally to establish value engineering and cost down initiatives ATTRIBUTES & SKILLS: Bachelor's Degree (or equivalent experience) in Engineering, Business, Management, Communications, or Marketing Concentrations 1+ years of experience in product development/marketing preferably at a consumer goods company Proficient in Microsoft Word, Excel and PowerPoint; knowledge of SharePoint a plus Ability to work in a fast-paced, deadline driven, high impact environment Strong verbal, presentation, and written communication skills Resourceful, well organized, highly dependable, efficient and detail oriented Ability to be a team player as well as work independently Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more. Pay Range$54,400-$97,800 USD Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice. For candidates based in China, please refer to this Candidate Privacy Notice. For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. GenAI Engineer IV - Lead Innovation with Generative AI Join our Innovation Analytics & AI team as a GenAI Engineer IV, where you'll shape the future of AI solutions for enterprise-scale impact. This expert-level role drives strategy, architecture, and implementation of cutting-edge Generative AI systems using LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models on Azure and cloud platforms. You'll design cloud-native architectures, build RAG workflows, and integrate structured/unstructured data to deliver secure, scalable AI solutions. Using tools like Promptflow, LangChain, Azure AI Search, and Vector DBs, you'll create agentic AI frameworks, optimize performance, and ensure ethical compliance. You will collaborate and guide Solution Architects to align AI strategies with business goals, ensuring performance, security, and scalability while integrating structured and unstructured data into analytics platforms. As a technical leader, you'll mentor engineers, influence enterprise AI strategy, and foster a culture of innovation and continuous learning. This role offers the chance to drive impactful AI initiatives, collaborate across teams, and stay ahead of industry trends. What You'll Do Lead the strategy, design, architecture, and implementation of scalable Generative AI solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4), multi-modal models, and open-source frameworks within Azure Microsoft Infrastructure. Develop robust data integration pipelines and RAG workflows using tools like Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, and Semantic Kernel. Design and implement robust test automation strategies within CI/CD pipelines, define observability metrics using Azure Application Insights and Dynatrace, and support production deployments with detailed documentation and risk mitigation. Collaborate with Solution Architects to ensure successful delivery of enterprise initiatives such as application security, API development, architecture, and test automation. Act as a subject matter expert in tools and technologies, lead internal learning forums, set strategic objectives, and drive the adoption of innovative methods. What We're Looking For Education Minimum Education Required to Perform Essential Job Functions: 4-Year / bachelor's degree, preferably in Computer Science, Data Science, Artificial Intelligence, or equivalent experience 8+ years in AI engineering with deep expertise in GenAI and cloud architectures. Advanced skills in Python, .NET, C#, and tools like LangChain, Hugging Face. Strong knowledge of LLMs, multi-modal models, and CI/CD automation. Proven leadership in AI strategy, mentoring, and enterprise-scale delivery. Expert-level proficiency in Python, .NET, and C# programming for AI applications Advanced expertise with GenAI tools (Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, Semantic Kernel) Deep knowledge of leading LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models Experience with cloud-native architectures, Kubernetes, Terraform, and API development Strong understanding of CI/CD pipelines, automated testing, and test automation strategies Expertise in ethical AI practices (bias detection, hallucination analysis, performance benchmarking) Exceptional leadership, mentorship, and strategic communication skills Strategic mindset for driving innovation, aligning AI strategies with business goals, and influencing enterprise-wide initiatives Why Join Us? Work on state-of-the-art AI technologies shaping the future of business. Influence enterprise-wide AI strategy and innovation. Collaborate with top talent in a dynamic, growth-oriented environment. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

Basic Qualifications Candidates should demonstrate a thorough understanding of engineering technology. Engineering Interns must be enrolled in an accredited degree program in Computer Engineering, Systems Engineering, Software Engineering, Electrical Engineering, Mechanical Engineering or other related scientific or technical discipline with a preference for a standing of a sophomore or higher. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position REPRESENTATIVE DUTIES AND TASKS: Apply your classroom-learned skills to a program supporting the defense of our country. GDMS has an immediate opening for an Engineering Intern to join our team. The position provides an opportunity to work on projects that support some of our nation's fundamental defense services. GDMS employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions. The selected candidate will work with collaborative teams on various technical projects associated with our core mission. In addition to receiving a competitive wage, the Engineering Intern will enhance their skill set by working among a talented and technically accomplished group of colleagues. Interns will also enjoy a flexible work environment where contributions are recognized and rewarded. Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range USD $24.00 - USD $29.00 /Hr. Company Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

**CMTA, a Legence company** CMTA (********************** is one of the fastest growing engineering firms in the U.S., with nationally recognized expertise in sustainable, high-performance building engineering. We are a collaborative, innovative, and energetic team that leverages a data-driven, holistic approach to consulting engineering, performance contracting, and zero energy projects. We focus on finding engineers whose skills and personalities drive them to excel, fostering a workplace that provides unparalleled growth and career opportunities. For college students interested in engineering design for the built environment, CMTA has a robust co-op program for students pursuing a degree in Mechanical Engineering, Electrical Engineering, and Architectural Engineering. We offer an opportunity for students to immerse themselves for one or more semesters in the consulting engineering world. Our co-ops build industry competitive skills in a hands-on environment, all while working on a team, and being trained by Professional Engineers in AutoCAD and Revit. The skills our co-ops learn allow them to create real construction drawings for real CMTA projects. This position is a full time (40 hrs./week), **onsite** position with a competitive hourly pay rate and eligible for overtime pay. **This position will start May 2026 and go through Summer. Dates are flexible with school calendar.** Our hope is that the co-op students that are hired will do multiple co-op rotations with CMTA with possible consideration for full time employment upon graduation. **Job Description:** This position provides a unique opportunity for hands-on training in mechanical/HVAC/Energy design. The ideal candidate will possess excellent interpersonal skills and be able to work well with a team, and independently. Our engineers will teach the student co-op how we design and implement mechanical systems/infrastructure and implement energy efficient measures in our building projects. This is a great opportunity to work on some of the most challenging and complex MEP projects, and become an important part of our design team. **Job Functions: (may include but are not limited to)** + Produce detailed layout and equipment details of HVAC systems, + Produce one-line diagrams/schematics, + Assist the design team in the process of assembling organized sets of drawings, + May assist in the data collection and/or field verification, and + Work in conjunction with designers and engineers to help develop all aspects of a project. **Requirements** : + Pursuing a Bachelor of Mechanical Engineering or Architectural Engineering, preferably a sophomore (2nd year), or junior (3rd year), + Strong interest in Building Systems Mechanical Engineering, + AutoCAD and REVIT experience preferred, + Strong interpersonal and communication skills, + Proficiency with Microsoft Word and Excel, + Ability to work both independently and with a team, + Ability to work full time throughout the co-op term, + Ability to travel locally for job site inspections, field work, etc. No sponsorship available for this position. \#LI-RH1 #LI-Onsite **About Legence** Legence (****************************** (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems-enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world's most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients. **Benefits Overview** **Time Off Benefits:** Paid sick leave **Financial Benefits:** 401(k) retirement savings plan **Reasonable Accommodations** If you need assistance or accommodations during the application or interview process, please contact us at ******************* or your dedicated recruiter with the job title and requisition number. **Third-Party Recruiting Disclaimer** Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence. **Pay Disclosure & Considerations** Where pay ranges are indicated, please note that a successful candidate's exact pay will be determined based relevant job-related factors, including any of the following: candidate's experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws. **Equal Employment Opportunity Employer** Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations. EEO is the Law **Job Details** **Pay Type** **Hourly**

About Us At Technip Energies, we are more than just a leading engineering and technology company; we are pioneers committed to shaping a sustainable future. With over 65 years of experience and 17,000+ talented professionals worldwide, we deliver innovative solutions to real-world energy challenges. We believe in the power of collaboration, diversity, and an inclusive culture where your well-being is a top priority. Join us on a one-of-a-kind journey where you can take pride in Being Part of the Solution for the benefit of our planet, people, and communities. If you share our vision of driving the transition to a low-carbon future and are eager to develop your skills for tomorrow, then this could be the perfect opportunity for you. About the Job We are excited to offer a unique internship opportunity for aspiring Mechanical Engineers to join our team in person from June through August 2026 in downtown Boston, MA. In our Boston office, we concentrate on process technology development and engineering work in the areas of chemicals, renewables, biofuels, and circular process technologies. Technology development activities are also carried out in a 19,000 square foot laboratory in Weymouth, Massachusetts. The Mechanical Equipment and Piping Engineering Intern will support the engineering team in the design, analysis, and implementation of mechanical and piping systems. This role provides a valuable opportunity for hands-on experience in a professional engineering environment, allowing the co-op student to apply theoretical knowledge to real-world projects. The ideal candidate will be a motivated engineering student with a strong interest in mechanical and piping systems. Key Responsibilities: Assist in the development of mechanical and piping system designs using CAD software (e.g., AutoCAD, SolidWorks, or similar). Prepare detailed drawings, schematics, and layouts for mechanical and piping components. Collaborate with senior engineers to support various engineering projects, including new installations, upgrades, and maintenance of mechanical and piping systems. Participate in project meetings and contribute to the development of project plans and schedules. Perform basic engineering calculations and analysis under the direction of senior engineers to support design decisions; including stress analysis, fluid dynamics, and thermal analysis. Assist in the selection of materials and components based on project requirements and industry standards. Assist with the preparation of technical documentation, including specifications, reports, and manuals. Work closely with other engineering disciplines, such as electrical, civil, and structural engineers, to ensure integrated and cohesive project outcomes. Communicate effectively with team members, contractors, and clients to facilitate project success. About You We'd love to hear from you if your profile meets the following essential requirements: Currently enrolled in a Bachelor's degree program or higher in Mechanical Engineering; preference given to candidates with expected graduations in 2027 or 2028. Strong academic performance and a solid understanding of engineering principles. Exposure to CAD software (e.g., AutoCAD, SolidWorks) and Microsoft Office Suite (Word, Excel, PowerPoint) Basic knowledge of mechanical and piping systems, including design, analysis, and materials Excellent problem-solving skills and attention to detail Strong communication and interpersonal skills Ability to work both independently and as part of a team Inclusion Standards In our continuous journey to developing and building culture of inclusion, we adhere to four Inclusion Gold Standards. We challenge our biases and embrace diversity of thought. No one has all the knowledge and solutions, collectively we do. We foster a caring environment where people are respected, comfortable to share and be heard. We promote active listening for effective decisions and action. What's Next? Once receiving your system application, the Recruiting Team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications within a reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting *********************** and follow us on LinkedIn, Instagram, Facebook, Twitter, Youtube for company updates. It is the policy of Technip Energies to provide equal opportunity for all qualified persons and not to discriminate against any applicant for employment because of race, color, religion, national origin, sex, sexual orientation, age, disability, veteran status, citizenship, or any other characteristics protected by federal, state or local law at the Technip Energies location to which this application is submitted. In Addition, as a Federal Government contractor, Technip Energies is an affirmative action employer. If you require accommodation during the application process, please contact the local Human Resources Department. Applicants must be authorized to work for any employer in the United States. Employment is contingent upon proof of eligibility to work in the United States. #LI-TN1

Job DescriptionAbout the role At Parallel Fluidics, we are building infrastructure to power the next generation of life science tools. As our Principal Mechanical Engineer, you will lead our most mission-critical engineering projects, set the standard for technical excellence, and shape the processes that drive our product development and manufacturing. The ideal candidate is a proven engineering leader with deep expertise in electromechanical system design, design-for-manufacturing, and automation. Please apply if you are excited to create an outsized impact by driving breakthrough products from concept to scale at a rapidly growing startup. ResponsibilitiesEngineering leadership Serve as principal architect of the engineering process at Parallel Lead our most mission-critical engineering projects Act as a technical expert on other internal projects Identify opportunities to improve our engineering systems and tools Mentor junior and senior engineers across disciplines Report progress and key insights to company leadership Product development Own the process to bring Parallel's next-generation hardware products from concept to scale Identify and vet high-volume manufacturing partners Transfer high-volume products from in-house manufacturing to third-party manufacturers Manufacturing systems Find opportunities to improve our in-house designed manufacturing equipment Design experiments and test methods to optimize manufacturing processes Collaborate with the manufacturing team to identify gaps and opportunities for improvement QualificationsRequired Bachelor's Degree in Mechanical Engineering or a related field 10+ years of experience in high-performing engineering organizations Strong understanding of product development, design-for-manufacturing, machine design, and automation Proven track record of bringing electromechanical systems to market Excellent communication and project management skills Expertise in 3D CAD software (e.g., SolidWorks, Autodesk Fusion, or equivalent) Preferred Familiarity with cleanroom environments and microfabrication processes Knowledge of regulatory and safety standards for laboratory instrumentation Experience building microfluidic technologies What We Offer A collaborative and innovative work environment where your ideas shape our future. Opportunities to work on groundbreaking 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 of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal-opportunity employer and welcome people of all different backgrounds, experiences, and perspectives. Compensation Range: $160K - $200K

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We're looking for a Senior Product Security Engineer who is passionate about partnering with engineers to assess the security risk of new products and features. As a member of the Secure Design team, you will report to the Senior Manager of Product Security. Our Secure Design team enables DigitalOcean to build secure-by-design products. We leverage strong relationships with both product teams and the rest of security engineering to be successful. Our scope is primarily focused on reviewing early-stage decisions, helping develop threat models, scaling impact via automation, curating security patterns, authoring security guidance, training, and championing security initiatives. You will collaborate with other security teams and the rest of DigitalOcean to guide secure architecture design, reduce security risk in the organization, and empower engineers to make informed security decisions. Security at DO means solving incredibly complex problems at a high-scale that have real impact for our customers, our products, and the larger internet community. What you'll do: Threat model application designs and solutions and provide security risk assessments (70%) Provide deep technical expertise in software and network architecture during holistic assessments of security layers across infrastructure, application, people, and process. Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems. Identify the trade-offs of different solutions and recommend the efficient design to achieve both functional goals and security requirements. Provide hands-on remediation guidance to development teams. Cultivate and promote a security culture (20%) Champion an internal security culture (developer training, internal CTFs, etc.). Mentor software engineering teams in security best practices. Help oversee our vulnerability management program (we call it security debt). Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean's fleet? Build security tooling and automations to help scale the Product Security team's practices (10%) Use software architecture and coding patterns to reduce the impact of security issues. Drive architecture, patterns, and processes across engineering that make security the easiest path. Integrate custom security tooling into engineering workflows. What you'll add to DigitalOcean: Required qualifications: Experience leading architectural changes or complex cross team efforts to mitigate security vulnerabilities. Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and ability to provide actionable direction to product teams. A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries. Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery). Preferred qualifications: 3+ years experience guiding software teams on secure architecture design. Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases. Working knowledge of hardware and software supply chain security. Familiarity with object oriented and functional programming concepts, particularly with languages such as Go, JavaScript, Rust, or C. Compensation Range: $135,000 - $185,000 *This is a remote role. #LI-Remote Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Busek is a leader in innovative space propulsion technologies, specializing in electric and chemical propulsion systems. Our team pioneers advancements in space exploration by developing cutting-edge propulsion solutions for government and commercial applications. Summary: As a senior-level mechanical engineer to join the Design & Analysis Team, you will have primary responsibility for PPU chassis design. This role requires full ownership of the PPU mechanical system: chassis, covers, slices, interfaces, fasteners, and sustaining engineering. The engineer must integrate electrical, thermal, structural, and manufacturing constraints into robust, flight-ready designs. In addition to their own design work, this person will also mentor and provide oversight to junior engineers working on similar technology. How you will make an impact: Chassis & Packaging Ownership - Responsible for chassis architecture (covers, slices, interfaces), with strong grounding in DFM/DFA and material properties. Electrical Coordination - Be able to collaborate daily with electrical engineers and translate board requirements into mechanical solutions. Thermal Design (Space Environment) - We are an aerospace company. Bring an understanding and knowledge of conduction and radiation as the primary modes of thermal transfer in spacecraft environments. Experience with thermal conduction paths through chassis into heat pipes/spacecraft panels. Knowledge of thermal vias as a primary method of CCA heat extraction, and how to interface them mechanically (gap pads, preload, flatness). Familiarity with surface finishes, coatings, and emissivity for thermal radiation management. Required skills: Mechanical Analysis Skills - Steinberg analysis for CCAs, shock and vibration survivability, and spacecraft-specific load cases. Sustaining Engineering - Experience with non-conformances (NCR/MRB), ECO implementation, and supporting hardware through production. Cross-Functional Collaboration - Effective at working with design, analysis, manufacturing, supply chain, and QA to deliver flight-ready hardware. Proficiency with GD&T and compliance with ASME Y14.5 drawing standards. · Experience producing cavity sketch layouts and specialized mechanical drawings for PPU packaging. Nice to Haves: · Knowledge of spacecraft radiation effects on mechanical/electrical interfaces (trace degradation, shielding). · Familiarity with heat pipe integration into panel-level designs. · Background with NASA, ECSS, or MIL-STD design standards. · Experience balancing lightweighting vs. robustness in spacecraft hardware. The expected salary range for this position is $85,000 - $150,000. Actual compensation will be determined by the candidate's experience, education, and alignment with organizational needs. To comply with U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), employment at Busek requires that applicants be one of the following: A U.S. citizen A lawful U.S. permanent resident (i.e., current Green Card holder) A refugee or an individual granted asylum in the U.S. Or be eligible to receive the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable For more information about ITAR regulations, visit this resource. Article - DDTC Public Portal Powered by JazzHR JIekQ8YP0v

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret The Radar Mechanical Design Department leads mechanical design, development, and integration of some of the most innovative land-based and shipboard radars in the world. This includes phased array radar systems, electronic modules, pedestals, and power and cooling systems. The department comprises individuals with technical expertise and experience in hardware design, integration, and production support. We have an opportunity for an experienced Principal Mechanical Engineer to support our radar development programs. This person will be responsible to lead mechanical teams in all phases of our design cycles, from concept development through design, development , build and test. Key requirements for this position include proven problem solving skills and experience in hardware design and integration, engineering analysis, and mechanical drawing creation with military hardware. Individuals will interface and collaborate primarily with other engineering disciplines, as well as operations, systems, quality and program offices. This Principal Engineer role will be based in Marlborough, MA and is an on-site role. What You Will Do: Utilizing strong mechanical hardware design experience and knowledge with ruggedized structures, interconnects, cooling, and array integration Supporting all phases of programs from capture and concept development through production Developing technical solutions to a wide range of complex problems related to the entire product life cycle including proposal, design, manufacture, integration and test of phase array radars/electronics for multiple military programs Supervising the definitions of mechanical outline and construction details, component selection and specification, mechanical and assembly drawings, electrical/RF layout, and delivering the final technical data package Employing transition-to-production practices with the ability to lead a design release into production Tracking, reporting, and meeting cost, schedule, quality, and performance requirements for the finished product, including Earned Value (EV) management and Estimate at Complete (EAC) inputs Preparing proposal inputs on behalf of the product area Providing technical conscience, challenged with making sure the product and process meet appropriate standards and requirements while helping to remove roadblocks Working with minimal direction or supervision, while exercising considerable latitude in determining the technical objectives of the assignment while meeting cost, schedule, quality, and performance requirements for the finished product. Leading a small team of mechanical engineers when required Interacting frequently with senior personnel, occasionally including external customers, on significant technical matters often requiring coordination between organizations. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience or An Advanced Degree in a related field and minimum 5 years experience. A minimum of eight (8) years of experience in the design of radar architecture or electronics packaging for military or aerospace or commercial applications Experience with GD&T (Geometric Dimensioning & Tolerances) The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer: Experience with ANSI drawing standards and/or first order or structural analysis techniques. Experience with design to military standards Strong technical background with high technical aptitude Strong leadership skills and project management, sub contract management experience Experience with CREO (Pro/E) or similar 3D solid modeling software Cognizant of machine suppliers' capabilities or have direct experience in a manufacturing and assembly support role for producibility Familiarity with the design and manufacturing processes of CCAs, mechanical/RF components, metal housings, structures, and electronics assemblies Must have a working knowledge of Microsoft Office (Word, Excel, PowerPoint) Very strong verbal and written communications and interpersonal skills when working with team members and customers Advanced degree in Mechanical, Electrical or Aerospace Engineering What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! RTX solves some of the toughest challenges in aerospace and defense. That requires expansive thinking and bold innovation. Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

The Principle Mechanical Engineer role manages all aspects and phases of medical device development as part of a highly collaborative team in a fast-paced environment. Proven experience in bringing complex mechanical and electromechanical medical devices through all stages of product development, regulatory milestones and into production. This role reports to the Manager, Mechanical Engineering. Essential Job Functions: Leadership: Leads, plans, organizes, and manages projects of significant scope. Assist and mentor staff engineers. Engineering Design and Technology Development: Investigates and evaluates existing technologies. Designs and implements new methodologies, materials, machines, processes, or products to bring concept to market, including essential product and process documentation. Design Development: Develops new designs from initial concept to market release using appropriate CAD and analytical tools and through investigation of available products, processes, and materials. Communication: Communicate with clients as well as internal team members, contractors, and suppliers, maintaining good relations and a clear, common understanding of project status, responsibilities, and issues. Documentation: Create and maintain detailed documentation throughout all phases of research and development. Quality Management: Create plans, procedures, protocols, and contribute to the generation of risk analyses. Conducts product verification and contributes to components of DHFs and DMRs for products under development. Supervisory Responsibility: None. Customer Focus: Provides professional, reliable, and prompt service to internal and external customers. Works in partnership with others to meet and exceed customer expectations. Interprets customers' needs and takes appropriate action. Follow through on customer's inquires in a professional and timely manner. Travel: Occasional overnight travel may be required to service client meetings, supplier meetings, and cross-office work. Other duties as assigned.

Principal Mechanical Engineer About Us We are building scalable, fault-tolerant neutral atom quantum computers that harness the power of atomic physics, precision engineering, and advanced control systems. Our interdisciplinary team combines quantum scientists, optical mechanical and electrical engineers, and software developers to push the boundaries of what's physically possible. About the Role We are seeking a Principal Mechanical Engineer to lead the mechanical system design, precision engineering, and infrastructure architecture that enable high-fidelity, scalable neutral atom quantum systems. This role will own key aspects of system design and integration - from mechanical precision and thermal stability to automated alignment and digital design workflows - ensuring that our hardware meets the demands of world-class quantum performance. You will be responsible for end-to-end ownership of mechanical design and integration, partnering closely with physics, optical, and controls teams to deliver robust, high-precision, and manufacturable systems. Key Areas of Ownership Alignment and Calibration Design for Automation - Lead the mechanical and control architecture for automated alignment, calibration, and repeatability across complex opto-mechanical subsystems. Thermal and Vibration Management - Architect and own thermal control systems, including liquid cooling infrastructure, vibration isolation, and dynamic stability of quantum system platforms. Precision Engineering - Develop ultra-stable, tightly-toleranced assemblies supporting optical and atomic positioning requirements. Systems Engineering (SysML) - Apply systems engineering principles and SysML modeling to define interfaces, requirements, and traceability across mechanical, electrical, and optical domains. PLM / Digital Thread - Establish and maintain a robust product lifecycle management (PLM) framework, ensuring a seamless digital thread from concept through production. CAD Ownership - Oversee mechanical CAD architecture, standards, libraries, and best practices across the engineering organization. Responsibilities Own the mechanical design and system integration of major quantum hardware subsystems. Develop and execute precision alignment and calibration strategies in partnership with controls and optical engineers. Model, simulate, and validate thermal and vibrational behavior to ensure operational stability. Lead cross-disciplinary design reviews and implement system-level design traceability using SysML tools. Drive PLM processes, configuration management, and digital twin implementation. Mentor and guide mechanical engineers on best practices for CAD design, analysis, and documentation. Collaborate closely with physics and manufacturing teams to ensure experimental and production alignment. Qualifications Required: M.S. or Ph.D. in Mechanical Engineering or related field, or equivalent experience. 10+ years in precision mechanical design for high-stability or opto-mechanical systems. Expertise in thermal management, vibration isolation, and liquid cooling systems. Strong proficiency in CAD tools (e.g., SolidWorks or Inventor), PLM and digital thread practices, and analysis tools. Experience implementing systems engineering frameworks (SysML, MBSE). Proven success in leading complex, multi-disciplinary hardware development programs from concept through to production Collaborative mindset Preferred: Background in atomic physics, quantum systems, or UHV opto-mechanical design. Experience developing and scaling automation systems for precision alignment or calibration. Hands-on experience with precision assembly, metrology, and validation testing. Strong communication and leadership skills across technical and executive teams. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Insight Global is seeking a Mechanical Systems Engineer for a large maritime manufacturing company based out of New London, CT. The ideal candidate will have 15+ years of mechanical engineering experience with a focus in applying engineering principles in rotating machinery parts. This person will serve as the technical authority for rotating mechanical systems critical to submarine operation for the Main Propulsion Motor in COLUMBIA Class production. The engineer ensures that components such as bearings, shafts, seals, pumps, motors, and propulsion machinery are reliable, safe, and properly integrated into the submarine platform. Acting as a Subject Matter Expert (SME), this individual bridges design and production, supports integration, and leads troubleshooting throughout the build, test, and sustainment phases. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Bachelors degree in Mechanical Engineering - 15 years of relevant engineering experience - Strong troubleshooting experience and root cause analysis - Active secret clearance or ability to hold a DoD secret clearance - Experience with submarine mechanical systems, propulsion machinery, or rotating equipment - Knowledge of GD&T and technical drawing interpretation - Familiarity with test procedure development and component integration to ship structures - Operations/construction support experience - Strong communication and interpersonal skills

About Cytonome: Cytonome is a biotechnology engineering and manufacturing company that designs and develops cutting edge optical-based cell sorting platforms. We offer powerful application-specific technologies for cell therapy, life science, and industrial markets. We work closely with our clients to understand their needs and provide their ideal solution. Job Description: This Opportunity is within our Lexington-based high-throughput cell sorting development team. The Systems Engineer will be directly involved in the design, assembly, testing, and optimization of our innovative high-throughput, microfluidic-based cell sorting platforms. The position will collaborate with a diverse technical team on product development both for R&D and cGMP operations. This role will have a direct impact on several globally important applications of our current and future cell isolation technologies. Salary: $90,000-$110,000 based upon experience. Job Responsibilities: Work with a cross-functional team of engineers and biologists to design, assemble and test complex electrical, mechanical, microfluidic, and optical systems Own the system design and drive automation algorithm development Conceptualize, design, procure, prototype, and build components and assemblies for products and testing/manufacturing fixtures Conduct root cause analysis on application-specific issues reported by the client Troubleshoot and document problem resolution during system level testing Develop, execute, and document test protocols Communicate tradeoffs, program risks, and technical progress to the team and management Provide feedback and help generate test and assembly documentation for transfer to manufacturing Qualifications: Bachelor's degree in mechanical engineering, or related engineering fields 3+ years in engineering environment Proficiency in CAD software (SolidWorks) for designing complex assemblies with tight tolerances. Strong understanding of DFM/DFA (Design for Manufacturability/Assembly) principles. Hands-on experience with rapid prototyping, GD&T/tolerance stack-up analysis, and iterative design validation Excellent problem-solving skills and a proactive mindset for identifying and resolving design-to-manufacturing challenges Strong communication skills and ability to document engineering processes clearly for tech transfer and scaling Ability to self-organize and work effectively with limited supervision Preferred Skillsets/Experience: Experience transitioning products from R&D/prototype stage to pilot and scaled manufacturing. Experience with research instrumentation and/or flow cytometry Familiarity with microfluidic systems, optics, or electromechanical components is a plus. Experience in class II/III medical device product development Experience with Python, LabVIEW, and Matlab is preferred STgenetics is an Affirmative Action EEO employer We are an equal opportunity employer and all qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or any other characteristic protected by law. STgenetics is not currently accepting unsolicited resumes from search firms. Regardless of past practice, all resumes submitted by search firms to any employee at STgenetics via-email, the Internet or directly to hiring managers at STgenetics in any form without a valid written agreement in place for that specific position will be deemed the sole property of STgenetics . As a result, no fee will be paid in the event the candidate is hired by STgenetics .

Senior Design Assurance Engineer Assignment Duration: 6 Months Work Arrangement: Onsite Education: Technical bachelor's degree Experience: 2-5 years' experience preferably in the medical device industry Skills: • Experienced with FDA Quality System Regulations, especially Design Control requirements, ISO 13485, and Medical Device Directive • Experienced with ISO 14971, Risk Management • Familiarity with Usability, Reliability, Electrical Safety, Software, Sterilization, Packaging, and Biocompatibility standards and requirements

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details