Manufacturing Engineer jobs at Medtronic - 2464 jobs

Job Title: R&D Senior Engineer II Job Country: United States (US) Here at Avanos Medical, we passionately believe in three things: Making a difference in our products, services and offers, never ceasing to fight for groundbreaking solutions in everything we do; Making a difference in how we work and collaborate, constantly nurturing our nimble culture of innovation; Having an impact on the healthcare challenges we all face, and the lives of people and communities around the world. At Avanos you will find an environment that strives to be independent and different, one that supports and inspires you to excel and to help change what medical devices can deliver, now and in the future. Avanos is a medical device company focused on delivering clinically superior breakthrough solutions that will help patients get back to the things that matter. We are committed to creating the next generation of innovative healthcare solutions which will address our most important healthcare needs, such as reducing the use of opioids while helping patients move from surgery to recovery. Headquartered in Alpharetta, Georgia, we develop, manufacture and market recognized brands in more than 90 countries. Avanos Medical is traded on the New York Stock Exchange under the ticker symbol AVNS. For more information, visit *************** Essential Duties and Responsibilities: The R&D Senior Engineer II plays a key role in Avanos' New Product Development (NPD) organization, contributing to the design, development, and commercialization of innovative medical devices that advance patient care. This position combines hands-on design ownership, strong technical problem-solving, and cross-functional collaboration to ensure products meet user needs, regulatory requirements, and business objectives. The R&D Senior Engineer II is responsible for leading design workstreams within complex programs, mentoring junior engineers, and ensuring engineering excellence throughout the product development lifecycle. Key Responsibilities: Lead design and development activities for assigned subsystems or product components through all phases of the PDP. Develop and refine 3D CAD models, detailed drawings, specifications, and tolerance analyses consistent with design control and DFM/DFA principles. Conduct and document design reviews, FMEA, and risk assessments to ensure robust performance, reliability, and patient safety. Collaborate with cross-functional partners (Systems, Quality, Regulatory, Clinical, Technical Operations, Project Head) to translate user needs and system requirements into actionable design inputs. Support prototype builds, design verification and validation testing, and root cause analysis for design issues. Apply sound engineering principles in areas such as mechanical design, fluidics, and electromechanical integration to develop effective solutions. Work Technical Operations teams to ensure designs are manufacturable, cost-efficient, and scalable. Mentor and provide technical guidance to junior engineers within the team. Support intellectual property development through design innovation and technical documentation. Your qualifications Required: B.S. degree in Mechanical, Biomedical, or related Engineering discipline. 6+ years of experience in medical device design and development. Strong proficiency in 3D CAD (SolidWorks preferred), GD&T, and mechanical design fundamentals. Demonstrated experience leading design efforts for Class II or III medical devices. Solid understanding of risk management, verification/validation testing, and documentation best practices. Proven ability to solve complex technical problems and drive projects to completion in a matrixed environment. Excellent written and verbal communication skills, with attention to design documentation and traceability. Preferred: Experience with electromechanical systems, fluid delivery, or disposable/reusable medical device interfaces. Working knowledge of materials selection, molding processes, or sterilization methods (EO, gamma, e-beam). Experience collaborating with contract manufacturers or development partners. Participation in IP generation or patent applications. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Salary Range: The anticipated average base pay range for this position is $104,000.00 - $121,000.00. In addition, this role is eligible for an attractive incentive compensation program and benefits. In specific locations, the pay range may vary from the base posted. Avanos Medical is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law. If you are a current employee of Avanos, please apply here Join us at Avanos Join us and you can make a difference in our products, solutions and our culture. Most of all, you can make a difference in the lives, people, and communities around the world. Make your career count Our commitment to improving the health and wellbeing of others begins with our employees - through a comprehensive and competitive range of benefits. We provide more than just a salary - our Total Rewards package encompasses everything you receive as an employee; your pay, health care benefits, retirement plans and work/life benefits. Avanos offers a generous 401(k) employer match of 100% of each pretax dollar you contribute on the first 4% and 50% of the next 2% of pay contributed with immediate vesting. Avanos also offers the following: benefits on day 1 free onsite gym onsite cafeteria HQ region voted 'best place to live' by USA Today uncapped sales commissions

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

About Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled - please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us. #J-18808-Ljbffr

A cutting-edge AI startup is seeking R&D Engineers for groundbreaking work in attention-based machine learning models. Candidates should have a strong research background and experience in model training using PyTorch or TensorFlow. This is a full-time remote position, offering competitive salary and stock options, with the potential to impact foundational AI developments. Join us to push the boundaries of AI technology and research. #J-18808-Ljbffr

Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead! Leidos is seeking a talented Manufacturing Engineering Manager to lead the Manufacturing Engineering (ME) team in delivering exceptional results within our Mechanical Manufacturing Facility (MMF) in Huntsville, AL. This leader will oversee a diverse group of Manufacturing Engineers supporting CNC machined components, precision assemblies, tooling and fixture development, MBOM creation, Solumina MES plans, and documentation maturity across the shop. The ME Manager partners closely with the CNC Programming, Weld Engineering, Quality, Production, and Program teams to ensure fully aligned and efficient daily operations. The ideal candidate is a proactive, structured, and a strong communicator who excels in aerospace/defense manufacturing. They bring clarity and accountability to engineering workflows, strengthen cross‑functional alignment, and mature processes that improve production quality, cost, and delivery. If this sounds like the kind of environment where you can thrive, keep reading! Leidos Defense Systems provides innovative solutions across land, sea, air, space, and cyberspace missions. Our team is solving the world's toughest security challenges for customers with “can't fail” missions. Join us and help engineer the future. To explore and learn more, click here! Primary Responsibilities Lead, mentor, and develop a team of Manufacturing Engineers (intern to senior levels), ensuring strong execution, ownership, and cross‑training. Establish accountability, workload management accountability, and clear expectations for both daily support and long‑term initiatives. Build a culture of proactive communication, structured planning, and continuous improvement. Oversee creation and release of complete, accurate and manufacturable engineering packages, including MBOMs, MES process plans, work instructions, and tooling/fixturing requirements. Ensure consistent application of GD&T, manufacturability considerations, and process controls. Champion standardization and documentation maturity to support repeatability, quality, and operational efficiency. Partner closely with the CNC Programming Manager to ensure alignment on process planning, tooling requirements, and shop floor readiness. Collaborate with Weld Engineering, Production Control, Quality Engineering, Supply Chain, and Program Management to ensure manufacturability, schedule adherence, and technical clarity. Drive CI initiatives such as 5S, Lean, VSM, Kaizens, and CQI to improve safety, quality, cost, and delivery. Support RCCA efforts with structured problem‑solving methods, ensuring durable corrective actions and reduced repeat issues. Strengthen front‑end planning and engineering integration to support production readiness. Eliminate single points of failure by maturing documentation, cross‑training, and standard work across the ME organization. Support proposal development with accurate ME labor estimates, tooling/fixture scope, and manufacturability inputs. Manage team schedules, workloads, priorities, and stakeholder expectations. Basic Qualifications Bachelor's degree in Mechanical, Manufacturing, Industrial Engineering or related field. Minimum of 5+ years manufacturing engineering experience, including 3+ years in a formal leadership, supervisory, or technical team‑lead role. Strong technical understanding of machining, assemblies, tooling/fixture development, and process planning. Proven ability to implement and mature standard engineering processes and documentation. Excellent communication, leadership, and problem‑solving skills. Reside in or be willing to relocate to North Alabama. Must be a U.S. citizen and meet the eligibility requirements to obtain and maintain a Secret clearance. Preferred Qualifications Experience in aerospace/defense manufacturing. Knowledge of Lean, Six Sigma, PFMEA, or CI methodologies. Working knowledge of ISO/AS9100 quality systems. Experience with Solumina, Costpoint, Solidworks, and Windchill EPLM. Strong cross‑functional experience with machining, welding support, production, and quality organizations. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting December 11, 2025. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $92,300 - $166,850. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment‑related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment‑related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead! Leidos is seeking a talented Manufacturing Engineering Manager to lead the Manufacturing Engineering (ME) team in delivering exceptional results within our Mechanical Manufacturing Facility (MMF) in Huntsville, AL. This leader will oversee a diverse group of Manufacturing Engineers supporting CNC machined components, precision assemblies, tooling and fixture development, MBOM creation, Solumina MES plans, and documentation maturity across the shop. The ME Manager partners closely with the CNC Programming, Weld Engineering, Quality, Production, and Program teams to ensure fully aligned and efficient daily operations. The ideal candidate is a proactive, structured, and a strong communicator who excels in aerospace/defense manufacturing. They bring clarity and accountability to engineering workflows, strengthen cross‑functional alignment, and mature processes that improve production quality, cost, and delivery. If this sounds like the kind of environment where you can thrive, keep reading! Leidos Defense Systems provides innovative solutions across land, sea, air, space, and cyberspace missions. Our team is solving the world's toughest security challenges for customers with “can't fail” missions. Join us and help engineer the future. To explore and learn more, click here! Primary Responsibilities Lead, mentor, and develop a team of Manufacturing Engineers (intern to senior levels), ensuring strong execution, ownership, and cross‑training. Establish accountability, workload management accountability, and clear expectations for both daily support and long‑term initiatives. Build a culture of proactive communication, structured planning, and continuous improvement. Oversee creation and release of complete, accurate and manufacturable engineering packages, including MBOMs, MES process plans, work instructions, and tooling/fixturing requirements. Ensure consistent application of GD&T, manufacturability considerations, and process controls. Champion standardization and documentation maturity to support repeatability, quality, and operational efficiency. Partner closely with the CNC Programming Manager to ensure alignment on process planning, tooling requirements, and shop floor readiness. Collaborate with Weld Engineering, Production Control, Quality Engineering, Supply Chain, and Program Management to ensure manufacturability, schedule adherence, and technical clarity. Drive CI initiatives such as 5S, Lean, VSM, Kaizens, and CQI to improve safety, quality, cost, and delivery. Support RCCA efforts with structured problem‑solving methods, ensuring durable corrective actions and reduced repeat issues. Strengthen front‑end planning and engineering integration to support production readiness. Eliminate single points of failure by maturing documentation, cross‑training, and standard work across the ME organization. Support proposal development with accurate ME labor estimates, tooling/fixture scope, and manufacturability inputs. Manage team schedules, workloads, priorities, and stakeholder expectations. Basic Qualifications Bachelor's degree in Mechanical, Manufacturing, Industrial Engineering or related field. Minimum of 5+ years manufacturing engineering experience, including 3+ years in a formal leadership, supervisory, or technical team‑lead role. Strong technical understanding of machining, assemblies, tooling/fixture development, and process planning. Proven ability to implement and mature standard engineering processes and documentation. Excellent communication, leadership, and problem‑solving skills. Reside in or be willing to relocate to North Alabama. Must be a U.S. citizen and meet the eligibility requirements to obtain and maintain a Secret clearance. Preferred Qualifications Experience in aerospace/defense manufacturing. Knowledge of Lean, Six Sigma, PFMEA, or CI methodologies. Working knowledge of ISO/AS9100 quality systems. Experience with Solumina, Costpoint, Solidworks, and Windchill EPLM. Strong cross‑functional experience with machining, welding support, production, and quality organizations. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting December 11, 2025. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $92,300 - $166,850. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment‑related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment‑related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading biotechnology organization seeks a Staff Application Engineer to drive architecture and systems design for data-driven cloud applications. The candidate will deliver high-impact solutions, mentor engineers, and champion operational excellence. Ideal for those with 7+ years in scalable tech and frontend/backend expertise. The role offers a competitive salary range of $170,775 to $284,625, plus bonuses and comprehensive benefits. #J-18808-Ljbffr

About the Role The Staff Application Engineer (Individual Contributor) is a highly experienced technical leader who delivers high-impact engineering outcomes across multiple teams and products without formal people management responsibilities. This role takes ambiguous, cross-functional problems from concept to scalable solutions; drives architecture and systems design that meet Onyx's standards for security, reliability, and performance; raises the quality bar for engineering excellence; and mentors engineers to level up their technical and operational capabilities. Key Responsibilities Lead architecture and systems design for full-stack, data-driven, loosely coupled cloud applications; make pragmatic trade-offs that balance speed, quality, and long-term stability. Take poorly defined, high‑ambiguity problems and drive them to a clear specification and execution plan; deliver solutions with cross‑organizational impact and value. Own end‑to‑end delivery of large, strategic engineering initiatives, often crossing collective boundaries; ensure alignment to agreed target architectures and standards. Write high‑quality, well‑tested code and documentation; produce proposals, runbooks, and operational playbooks that enable clarity, maintenance, and scaling. Champion operational excellence: design for reliability and security, implement comprehensive observability (metrics, logs, traces), and ensure robust alerting and SLOs. Operate and support production systems: participate in on‑call, lead incident resolution when needed, perform root‑cause analysis, and drive durable follow‑ups that reduce risk. Proactively refactor and simplify complex systems; repay technical debt with intent and measurable outcomes; improve performance, scalability, and cost efficiency. Develop APIs (REST/GraphQL/gRPC) and integration contracts that are resilient, secure, and well documented; advocate for consistent patterns across teams. Collaborate closely with product, design, data science, compliance/risk, and platform teams to align architectural decisions with user needs and organizational strategy. Mentor and sponsor engineers across teams (including senior engineers): raise coding standards, guide design choices, and help others navigate trade‑offs and delivery. Elevate engineering practices across Onyx: standard‑bearer for code reviews, test automation, CI/CD, accessibility, performance, and security‑first design. Use data to inform decisions; introduce monitoring where needed to improve product and operational outcomes; communicate risk clearly to non‑technical stakeholders. Stay current with relevant technologies (cloud‑native services, data platforms, front‑end frameworks); bring strategic insights that shape area‑level technology direction. Contribute to cross‑team initiatives that improve ways of working, incident management, support processes, and the overall quality bar for Onyx Application Engineering. Basic Qualifications Bachelor's degree in computer science or related field, or equivalent experience. 7+ years of experience delivering complex, production‑grade, cloud applications at scale. Experience with backend language and ecosystem (e.g., Python, Java, Scala, JavaScript/Node.js), including documentation, testing, observability, and operations. Proficiency in front‑end technologies: JavaScript/TypeScript with React.js, Angular, or similar frameworks. Experience designing and building APIs (REST/GraphQL/gRPC); solid understanding of integration patterns and interoperability. Cloud experience developing and deploying in environments like Google Cloud (preferred), AWS, or Azure; hands‑on with cloud‑native services and infrastructure‑as‑code patterns. Experience with authentication and authorization mechanisms (e.g., OAuth2, OIDC); security‑first mindset throughout the SDLC. Experience with modern SDLC and DevOps tooling: git/GitHub, CI/CD pipelines, automated testing, containerization/orchestration, metrics/monitoring (e.g., Prometheus, Grafana, OpenTelemetry). Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications Master's degree or higher in Computer Science or related field. Experience leading large, strategic, complex engineering projects across multiple teams or collectives. Knowledge of database modelling, relational and non‑relational data concepts, and SQL; performance tuning and data lifecycle management at scale. Experience with data visualization frameworks (e.g., D3.js, Plotly, Matplotlib) and building scientific data experiences. Evidence of embedding operational excellence (runbooks, on‑call discipline, SLOs, post‑incident learning) across teams. Familiarity with regulated environments and collaboration with compliance/security functions. Demonstrated ability to lead architectural designs for complex systems, drive cross‑team solutions, and deliver measurable improvements in reliability, performance, and scalability. Proven ability to debug and resolve complex production issues under pressure; leads incident resolution and drives durable prevention. Excellent communication skills (verbal and written); can articulate technical risk and decisions to technical and non‑technical stakeholders; collaborates effectively across disciplines. Track record of mentoring engineers and elevating team standards and ways of working. Compensation & Benefits The annual base salary for new hires in this position ranges $170,775 to $284,625 based on location. This role offers an annual bonus, eligibility to participate in our share‑based long‑term incentive program, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Why GSK Uniting science, technology and talent to get ahead of disease together. Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. #J-18808-Ljbffr

Nimble is a frontier robotics and AI company building the next era of autonomous logistics. We design, manufacture, and deploy intelligent robots that enable fast, efficient, and sustainable commerce at global scale. Our team is building generalized robot intelligence and developing the world's first generalist super-humanoid robots capable of performing all core warehouse workflows with superhuman performance. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team. Our long-term vision is to create the Autonomous Supply Chain-reinventing how goods move through factories, warehouses, and last-mile distribution using next-generation intelligent robotic systems. Founded out of Stanford and Carnegie Mellon's top AI labs and backed by the world's most prestigious investors, Nimble's board includes iconic leaders in AI and robotics such as Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Former Chief Scientist of AI at Google, Director of Stanford's AI lab), and Sebastian Thrun (Waymo, Founder of Google X, Kitty Hawk, and Udacity). Join us and leave your mark on the future of robotics, AI, and global commerce. Link: Introducing Nimble - Intelligent Fulfillment Robots at Scale Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values Be relentlessly resourceful - Challenge conventions and overcome constraints. Be legendary - Pursue excellence and craft work that inspires. Be humble - Prioritize growth, learning, and the mission over ego. Be dependable - Take ownership and deliver with integrity. Role Summary We are seeking a senior, technically savvy Simulation Validation Engineer to bridge the gap between our operational needs and the simulation platform. This is a critical technical role that uses the robotic fleet simulator as a tool for release assurance, issue triage, and strategic operational guidance. Key Responsibilities Requirement Management: Serve as the primary liaison to Operations and System Integration teams, understanding and curating complex operational and integration needs and translating them into clear, actionable robot fleet simulator requirements. Development Partnership: Collaborate with the Simulator Development Engineer to define and document the simulator development requirement document. Release Assurance & Quality Gate: Analyze simulator results and validate outputs from nightly simulation runs to confidently approve or block fleet control and robot software releases. Issue Resolution & Triage: Utilize the simulator as the primary tool to triage and root‑cause field issues reported from the Warehouse, driving necessary fleet SW, integration, and Robot SW changes based on analysis and findings. Operational Alignment & Guidance: Work in lockstep with the operations team to minimize the discrepancy (sim‑to‑real gap) between simulation results and actual warehouse operations, ensuring the simulator is a reliable forecasting tool. Strategic Volume Goal: Guide and support operations in configuration and setup changes for the warehouse to achieve and sustain the package handling volume goal. Qualifications Bachelors or masters in computer science or electrical engineering, or equivalent experience. 5+ years of experience in system validation, operations research, industrial engineering, or complex system modeling/simulation, preferably in robotics or automation. Proven ability to define and manage complex system requirements, analyze large datasets, and use simulation outputs to drive critical business decisions. Exceptional communication and cross‑functional collaboration skills, with experience working directly with engineering, operations, and product teams. A strong, data‑driven problem‑solver with a proven track record of using analysis to influence high‑stakes operational and engineering changes. $180,000 - $225,000 a year The above range is the base salary range. This position will also provide generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Press Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Equal Opportunity Statement Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program. #J-18808-Ljbffr

### Exemption Status:United States of America (Exempt)### $132,323 - $186,576 - $240,828“Pay scale information is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any selected candidate or employee, which is always dependent on actual experience, education, qualifications, and other factors. A full review of our comprehensive pay and benefits will be discussed at the offer stage with the selected candidate.”This position is not eligible for Sponsorship.MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team!At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution!# **Job Description****Summary**: The Principal, Business Process Architecture and Delivery will develop and implement initiatives to make our PBM and Software as a Service (SaaS) offerings market leading with an emphasis on claims and clinical processes and systems. You will lead project teams and partner with business and operations leaders, clinicians, technical partners and dedicated project leaders to identify and design operational improvements, efficiencies and best practices within prioritized work streams to improve PBM and SaaS offerings, facilitate PBM integration and to optimize operational and clinical practices. In this role you will lead initiatives to shape the future of the organization. While addressing immediate business needs, you will create and implement improvements to claims, clinical and operational practices supported by technology in line with strategic goals.**Essential Duties and Responsibilities** include the following. Additional duties may be assigned.* Develop and maintain a deep understanding of the core business and clinical processes by working with business and operations leaders, clinicians, analysts and enterprise architects to build and maintain business capability models and value streams.* Be a strong influencer and change agent to implement improvements to technology and business and operating models to improve service, quality and efficiency of the products and services we offer.* Communicate both internally and externally the competitive advantages of our claims and clinical platforms and improvement roadmaps in the PBM and SaaS marketplaces.* Evaluate and quantify the health and maturity of business capabilities across the enterprise* Facilitate discussions with operations, clinical, technical and business leaders to identify current and future priorities that inform the improvement plan or roadmap* Collaborate with operations, clinical, technical and business leaders and project managers to develop improvement strategies tied to key business performance metrics and translate these strategies and technology objectives into an actionable roadmap* Leveraging Agile methodology, collaborate with the technology leaders to translate optimized operational, clinical and business practices into clear business requirements for technology implementation.* Participate in the Technology roadmap reviews to evaluate and approve technology deliverables that align with the strategic goals of the projects.* Organize plans and partner with business, technical, clinical and operational leaders to implement changes to business processes including launches of new technologies* Mentor others and help drive the maturity of the enterprise business process architecture practice**Supervisory Responsibilities** Manages assigned staff in the segment area. Responsible for the overall direction, coordination, and evaluation of the unit. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Supports and enforces all company policies and procedures in a fair and consistent manner, taking corrective action whenever necessary.**Client Responsibilities**This is an internal and external client facing position that requires excellent customer service skills andinterpersonal communication skills (listening/verbal/written). One must be able to manage difficult oremotional client situations; respond promptly to client needs; solicit client feedback to improve service; and ensure client commitments are met in a timely manner.**Qualifications**To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.**Education and/or Experience** Bachelor's or Doctorate Degree in Pharmacy or Bachelor's Degree in Business, Operations, Engineering or Information Services or equivalent combination of education and experience. 10+ years of experience in PBM, managed healthcare, insurance or consulting to these organizations required along with 8 years of SME in respective areas. 4+ years supervisory experience. Experience with pharmacy benefit management software. SaaS experience highly desirable.**Computer Skills*** Proficient with MS Suite (Word, Excel, Visio, Outlook, Project) and SmartSheets to create data strategy roadmaps, manage priorities and share vision for organization growth.* Experience with system modernization, data conversion and integration of operating platforms* Experience in creating business process flow and business requirements documentation that feed software architecture and system design documentation* Experience delivering SaaS products and services* Experience in healthcare industry is a plus.* Experience in data science, machine learning and AI is a plus.**Certificates, Licenses, Registrations**None required**Other Skills and Abilities** * Sound knowledge of industry standard best practices and innovations in the realm of data platform* Extensive knowledge of strategy setting, program requirements, product development and project management methodologies* Demonstrated analytical and logical reasoning* Adept in problem solving and change management* Demonstrated ability to be client focused, responsive, flexible, and positive* Ability to work effectively with external partners/vendors to implement new solutions.* Proven ability to work as a team player and collaborate effectively with peers* Excellent time management skills and ensure deadlines are met.* Demonstrated ability to influence others in meeting enterprise goals.* Excellent organizational and communication skills (both written and verbal).* Experience working with agile methodology is a plus.**Reasoning Ability**Ability to apply industry best practices in local solution designs. Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.**Mathematical Skills**Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, #J-18808-Ljbffr

Who We Are Tonal is the world's first all in one home gym with a simply stunning design. It has completely revolutionized the fitness journey, with adaptive weight and coaching cues powered by advanced AI technology. We've united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective, and more engaging. With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness, and Power Progress for our members. Overview Tonal is looking for an AI Engineer to help expand Tonal's intelligence across movements, training modalities, and member goals. You'll be joining a high impact team at the intersection of machine learning, biomechanics, and product engineering. You will be responsible for building intelligent systems that adapt workouts, enhance coaching, and personalize progression using the largest strength training dataset in the world. With millions of workouts collected across diverse users and enriched by data from cameras, cable sensors, and external trackers, Tonal has a one of a kind platform for real world AI. You will help transform this data into production grade models and systems that deliver real time insights, predictions, and feedback to our members. What You Will Do Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real time applications Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction Fine tune and evaluate transformer based or self supervised learning models using Tonal's multimodal dataset Build data driven systems that measure training effectiveness, effort, and progression beyond traditional weight based metrics Prototype, train, and deploy ML models that run efficiently at scale or on device Collaborate cross functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience Contribute to the development of automated tools for experimentation, model validation, and continuous retraining Write high quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal's production systems Mentor teammates and help shape Tonal's growing AI and ML best practices Who You Are A self driven AI or ML Engineer passionate about bringing applied machine learning into real world, user facing products 7 plus years of experience in software engineering or applied ML, or 5 plus with a Master's degree, or PhD with 3 plus years of experience Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX Experienced in ML training, evaluation, and deployment workflows such as Sagemaker, MLFlow, Databricks, or similar Deep understanding of time series modeling, human motion, or sensor based learning from devices such as force transducers, position encoders, IMUs, or cameras Familiar with MLOps best practices and scalable model training pipelines Strong communicator who can collaborate with scientists, product managers, and engineers Track record of delivering performant ML systems from prototype to production Extra Credit Experience fine tuning large transformer or multimodal models Experience deploying models to real time or edge environments such as on device inference Experience with GoLang, Kotlin or Flutter Experience with distributed training, mixed precision optimization, or model compression Interest in fitness, digital health, or intelligent training systems Background in biomechanics, kinesiology, or human performance analytics At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation. #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant‑based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications Paid Vacation, Sick, & Holidays Monthly MetroCard Reimbursement 401(k) & Roth Retirement Savings Plan with company match up to 5% Work/Life Employee Assistance Program Company Paid Life and Short-Term Disability Coverage Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage #J-18808-Ljbffr

A biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Staff Machine Learning Engineer to architect and maintain critical data infrastructure for its advanced AI models. This role involves managing multimodal data processing and optimizing large-scale data pipelines. Ideal candidates will have 8+ years of experience and a Master's degree in a related field. The position is based in Chicago and offers a salary range of $170,000 - $210,000. #J-18808-Ljbffr