Research and development engineer jobs in Wheeling, WV

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. POSITION SPECIFICS The Electro-Optics Center (EOC), located in Freeport PA, a Division in the Applied Research Laboratory (ARL) at Penn State University, is seeking a Photonics Research and Development Engineer with expertise in Optical Communications, supporting military and intelligence community customers. You Will: Perform research and development tasks in optical communications. These include system-based analysis tasks as well as prototype development and testing Communicate and document results in reports and presentations Assist with development of proposals for projects Assist in new concept development; analyzing alternatives independently and applying engineering techniques and procedures to assignments Lead optical communication related projects of small or moderate size and scope, making substantial contributions Engage with government customers to identify opportunities and provide potential solutions that lead to funded projects Provide technical leadership within the division for optical communications Chair sessions at technical conferences/meetings; participate in external seminars, workshops, professional societies and committees Independently manage multiple and/or large optical communications projects Lead the development of proposals and projects that further our knowledge of optical communications Develop and maintain long-term professional relationships with relevant manufacturers and system integrators, as well as with government sponsors, to ensure projects meet customer requirements and are consistent with ARL's position of trust and strategic mission Participate in strategic planning initiatives and collaborate with engineers in other technical areas across ARL Required skills and experience includes: 10+ year's experience in guided (fiber), free-space or under-sea optical communications Optical system design, especially as it relates to free space and/or fiber optical communication systems Communication architectures, systems, protocols, devices, media, and integration Hands-on prototyping and demonstration of optical and RF components, links, and networks Interfacing with, collection from, and diagnosis of data from hardware Communicate, document, and present results Preferred skills and experience includes: A Master's degree in Engineering, Physics, Optics, or a related field is highly desired Significant experience in the development and understanding of optical communication architectures, systems, protocols, devices, media, and integration - especially as it pertains to military applications Expert knowledge of current state-of-the-art systems, optical propagation, laser communications systems and subsystems Space-based payload and systems experience Experience with end-to-end optical remote sensor development Current relationships with optical suppliers and familiar with the optics vendor ecosystem Business development experience with government customers Project management and leadership Experience with VPI or OptSim or the like is a bonus An active Secret security clearance with eligibility for TS/SCI is highly desirable Your working location will be full onsite located in Freeport, PA. Questions related to flexible work should be directed to the hiring manager during the interview process. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Bachelor's Degree - Engineering or Science 19+ years of relevant experience Required Certifications: None ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our web site at **************** BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. SALARY & BENEFITS The salary range for this position, including all possible grades, is $141,700.00 - $219,600.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL** Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. 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About Panther: Panther is unlocking the tremendous biological powers of our skin to deliver a wide range of shelf-stable treatments. Panther's precisely engineered microarray patches (MAPs) are focused on: i) Skin Health, treating coloration, wrinkles, scars, wounds, etc.; and ii) Therapeutics, treating ailments along the immunological spectrum, including infectious diseases, cancer, allergies and autoimmune diseases. Panther's MAPs are designed to deliver superior efficacy and high levels of usage/adherence, and enable automated data integration across its ecosystem of consumers, providers and treatment developers. Panther's AI enabled platform provides personalized customer care and accelerated treatment discovery. Via advanced GMP manufacturing, direct-to-consumer distribution and consumer self-application, Panther's MAPs are affordable, simultaneously enabling universal access and commercial success. Panther is led by accomplished tech, biotech and health professionals The Opportunity: We are seeking a highly motivated and detail-oriented Associate Scientist/R&D Engineer to join our interdisciplinary team focused on the development and scale-up of microneedle array patch (MAP) technologies. This role will support the innovation, optimization, and implementation of novel manufacturing methods while conducting analytical testing to evaluate quality, performance, and reproducibility. The ideal candidate has a strong background in chemistry, materials science, biomedical/chemical engineering, or a related field, with hands-on experience in laboratory-scale process development and analytical techniques. Key Responsibilities: Manufacturing Development Develop and optimize novel manufacturing processes, including mold casting, drying, curing, and sterilization techniques. Collaborate with cross-functional teams to support scale-up activities from lab to pilot scale. Assist senior team members with daily tasks. Analytical Testing Conduct mechanical testing and dimensional analysis on MNA patches. Perform chemical or biochemical assays to evaluate content uniformity, stability, or degradation Document and interpret data to assess impact of manufacturing changes on product quality. Documentation & Compliance Maintain accurate and organized lab notebooks, batch records, and process documentation. Contribute to the drafting of SOPs, technical reports, and regulatory submission materials as needed. Adhere to internal quality and safety standards. Lab Management Maintain laboratory supplies and organization Order and track all purchases while working with vendors and representatives for pricing Required Qualifications: B.S. or M.S. in Biomedical Engineering, Materials Science, Chemical Engineering, Pharmaceutical Sciences, or a related discipline. 0-3 years of hands-on experience in a laboratory or manufacturing environment (academia, industry, or internship). Familiarity with polymeric materials, hydrogels, microneedles, or drug delivery systems is highly preferred. Experience with analytical tools such as microscopy, mechanical testers, HPLC, or spectroscopy. Strong problem-solving, data analysis, and communication skills. Preferred Qualifications: Knowledge of sterilization techniques Familiarity with process validation or GMP/GxP environments. Experience with protein-based systems or biologic drug delivery, with a preference for those skilled in HPLC and Mass spectrometry. Understanding of sterilization techniques. Benefits Health Insurance includes Medical, Dental, Vision, and Life Insurance. Equity (Full-time roles only and varies by country). In-person company meetups. Some travel may be required. Virtual events. Work with a world-class team in technology and healthcare on the most innovative solutions. Unlimited PTO and Paid Company Holidays. Equal Opportunity Employer Panther Life Sciences is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

7404 McKnight Rd. Pittsburgh, PA 15237 < Back to search results Our To-Go Specialists are responsible for providing fast service and great hospitality for our To-Go Guests. If you take pride in great team work and love making people feel special, then we want to hear from you! * Fast hiring process * Flexible part-time or full-time schedule * Growth opportunities * Great team atmosphere and culture Responsibilities * Have knowledge of the menu to explain offerings to Guests * Ensure an exceptional To-Go experience for every Guest * Answer phone within three rings and assist Guests with placing To-Go orders * Enter orders in proper sequence * Able to operate POS system for transactions About Us Chili's was born in Dallas, Texas in 1975. Since then, we've boldly claimed our place in the casual dining industry as the place to go for Big Mouth burgers, house smoked ribs, full on fajitas, and hand shaken margaritas! With a legacy deeply rooted in service, hospitality, and giving back, we are committed to delivering the best experience to every Guest, every day. About You * Dependable team player * Prefers to work in a fast-paced environment * Great multitasking skills * Welcoming demeanor

We are seeking a highly skilled and hands-on Staff Engineer to join our dynamic MarTech team. In this leadership role, you will be instrumental in designing, developing, and scaling our core marketing technology platform. You will leverage your deep expertise in Java, Spring Boot, and Microservices architecture to build robust and efficient solutions. You will also provide technical leadership and mentorship to engineering team members, ensuring the delivery of high-quality software. This role requires a strong technical foundation, proven leadership capabilities, and a passion for building innovative MarTech solutions. Responsibilities Technical Leadership: Provide technical leadership and mentorship to a team of developers. Collaborate with stakeholders to understand business needs and translate them into technical requirements. Provide technical estimations and determine end to end project timelines. Possess strong architecture and system design skills with and experience of architecting and delivering distributed, cloud-based microservices, event-driven architectures and RESTful API's. Develop and maintain scalable applications using Java with Spring Boot. Conduct code reviews, identify areas for improvement, and ensure adherence to coding standards and best practices. Manage and optimize CI/CD pipelines using Bamboo and Bitbucket. Implement and oversee code quality analysis using SonarQube. Conduct comprehensive testing, including TDD approaches for unit and functional testing. Utilize Google Cloud services (e.g., Pub/Sub, Cloud SQL) and transactional databases effectively. Monitor application performance using tools like Grafana and Newrelic. Troubleshoot and resolve production issues swiftly and effectively. Proactively evaluate and adopt new technologies and tools to improve the system's performance, reliability and scalability. Guide software engineers, quickly troubleshoot issues, and determine root causes in a 24/7 on-call environment. Experience managing, deploying and maintaining enterprise large scale solutions and driving operational excellence. Vision and Strategy: Define the strategic vision for your team, partnering effectively with customers and stakeholders. Establish a roadmap and successfully deliver software that executes that vision. Build and articulate a clear vision for the platform's future, aligning with business goals. Collaborate with leadership to track and report on key performance indicators on a bi-weekly basis (KPIs). Facilitate Root Cause Analysis (RCAs) and Correction of Errors (COEs), applying learnings to enhance system architecture and design. Management: Independently manage a team of software engineers. Assess engineering performance and manage high and low performers. You take effective decisions addressing employee concerns. Hire, develop and promote engineers on your team. Lead effective development processes and consistently deliver software with minimal defects and disruption. Productively identify risks and bring them to the attention of your manager, customers and stakeholders with plans for mitigation before they become roadblocks. Write effective narratives design documents and other strategic documentation Define matrix to measure team development progress, customer experience, and operational excellence metrics. Your team has customer engagement mechanisms that adhere to SLA as an effectively managed software operation. Ensure quality of software architecture and improve operational performance metrics for your team. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 2+ years of experience in Engineering Management. Minimum of 10 years of experience in Java development, Postgres, CloudSQL or equivalent DB technologies with substantial experience in leading engineering projects. Excellent communication, presentation and networking skills to partner with cross functional partners. Ability to work in a fast-paced and deadline-oriented environment with competing priorities. Possess a solid understanding of design approaches and latest industry technologies. Must be able to display this during the interview process. Preferred Qualifications: Extensive experience working with Martech technologies PAY/BENEFITS INFORMATION: Actual starting pay is determined by various factors, including but not limited to relevant experience and location. Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits. Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. For additional information, please click HERE. AEO may also provide discretionary bonuses and other incentives at its discretion.

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling. About the Role The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production. About The Work Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment. Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks. Design and implement new simulation environments and tasks to support training and deployment of control policies. Develop, design, and test imitation learning methods Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production About You 3+ years of experience developing and deploying learning-from-demonstration Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. Experience with modern learning-from-demonstration tools like DiffusionPolicy Experience with robot data collection, training, and testing on hardware to perform manipulation tasks. Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software. Bonus Qualifications Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field. Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA). Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques. Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control Experience with writing performant, high quality software in C++ This role is hybrid based out of any of our three office locations in Pittsburgh, Salem, or San Francisco Bay Area. Full-time Employees are eligible for Benefits: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: ***************************

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning research into practical solutions, and a drive to build impactful applications. Responsibilities Develop and implement new algorithms for training and optimizing general-purpose robot foundation models. Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets. Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.). Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications. Optimize machine learning models for real-world robotic systems. Preferred Qualifications BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Strong track record of publishing papers and/or deploying real-world applications. Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision. Experience working with robot systems and large-scale model training. Base Salary Range $100,000 - $300,000 USD

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/********** DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

This is an exempt salary position where the employee is responsible for designing and estimating mechanical work projects within the Conveyors manufacturing group specializing in developing tailor-made, cost-effective analytical solutions for conveyor systems. EDUCATION/EXPERIENCE: * Minimum Three (3) Years Mechanical Design Experience Required * Minimum Three (3) Years Estimator Experience Required * Two-to-Five (2-5) Years Demonstrated CADD Experience Required * Ross ERP & Microsoft Dynamics Customer Relations Management (CRM) Software Experience Preferred QUALIFICATIONS: * Excellent analytical, problem solving and organizational skills with ability to work autonomously and/or collaboratively on multiple projects * Creativity is an essential part of brainstorming new ideas, developing or improving products so they are of good quality, meet space or weight limitations, and achieve the cost objectives of customers * Ability to listen effectively, articulate goals and progress of project(s), and communicate with a team of sales, research, and/or management personnel to meet needs of customers * Understanding of manufacturing techniques, costs. * Functional knowledge of Ross ERP and Microsoft Dynamics CRM Software * Proficient math, science, and computer skills * Proficient in CAD software (e.g., AutoCAD, SolidWorks, Illustrator). * Strong understanding of machining processes, materials, and tolerances. * "Team member" mentality with complementing ability to self-motivate, multi-task in fast-paced environment, and prioritize to meet ever changing deadlines * Close visual acuity, near vision, fine manipulation, upper limb coordination, and ability to sit for extended periods while performing essential job duties * Medium (up to 60 lbs.) lifting capability while performing essential job duties * Ability to work 40+ hours flexible schedule that may require frequent domestic travel. * Assignment location is 258 Kappa Drive Pittsburgh PA. Plant locations in Blairsville Pa and Lebanon Va. Travel required. RESPONSIBILITIES: * Receiving Requests for Quotes (RFQ) and developing accurate cost estimates and detailed drawings. * Develop and Update drawings using AutoCAD or Illustrator. * Analyze labor, material, equipment, time requirements, etc. through material take-offs of detailed drawings. * Interface with Corporate Purchasing Department for pricing to prepare detailed, organized estimates of costs. * Present prepared estimates by compiling numerical and descriptive information. * Prepare and submit required reports. * Perform any other related job duty as requested by executive or plant management to ensure timely, accurate project design and estimation. * Excellent benefits include medical with a standard PPO plan with deductibles as low as $1,500 and wellness credit up to $750; voluntary 401k plan currently matching up to 12%; voluntary dental and vision plans; free telemedicine services; basic life, long and short-term disability coverage. EOE M/F/D/V

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop imaginative solutions to real-world engineering problems. With access to cutting-edge research and technology, high achieving, energetic - yet approachable - faculty, and an innovative and flexible curriculum, we consistently rank among the top engineering programs by US News and World Report. The Civil and Environmental Engineering Department at Carnegie Mellon is seeking a Research Associate II to develop GIS teaching materials incorporating case studies and research outcomes. Under general supervision will design experiments and research protocols as well as perform complex analysis to report results. Core Responsibilities: Maintains administrative records. Tracks and adheres to established budgets. Writes and edits recommendations and reports. Collects, verifies and manages data. Performs data analysis in order to produce reports. Documents and processes results. Develops quantitative models. Contributes to overall project planning and acts as lead to coordinate portions of a large project or study. Ensures project deadlines are met. With some supervision, designs experiments and research protocols. Performs related duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor's degree A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Requirements: Successful background check Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Researchers Position Type Staff - Fixed Term (Fixed Term) Full Time/Part time Part time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

About Eos Energy Enterprises Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough Znyth™ aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. For more information about Eos (NASDAQ: EOSE), visit eose.com. The Senior Advanced Manufacturing Engineer will work with internal stakeholders and outside contractors to execute projects to support manufacturing scale up. This will require managing medium to large scale projects from concept, through capital funding planning and approval, and ultimately through successful implementation of automation and facility projects to meet the goals of the business. Responsibilities Demonstrated ability to effectively work with suppliers, outside contractors and stakeholders and recommend development of best practices to improve assembly/manufacturing methods and procedures. Impacts the achievement of part design related to design for assembly/manufacturing, error proofing, fixture design, and incorporating quality monitoring and improvement measures to drive results. Works independently and as part of a team on complex projects. Collaborate with partner groups in development and review of manufacturing process for new products, design changes, or new manufacturing methods. Recommend, evaluate, and implement new technologies to improve efficiency or enhance flexibility of manufacturing operations with a focus on launch site capability. Partner with leadership, operations and engineering teams to ensure that new equipment projects align with the manufacturing strategy and build plans. Be accountable to deliver operability, reliability, and functional integrity of automated manufacturing equipment for handover to operations. Lead facility expansion efforts to support scaling of manufacturing sites, new and existing. Education and Experience Bachelor's degree in engineering preferred Minimum of 10 years' experience Experience and understanding of complex automated manufacturing systems and components (electrical and pneumatic control, PLC and HMI devices, sensors, servo motors, vision systems, and robotics) Good understanding of supporting processes associated with the operations and maintenance of a production plant. Experience in manufacturing engineering and plant operations with direct experience in automated production processes, equipment support, and manufacturing best practices. Proficiency in use of AutoCAD Travel Overnight/North America: Less than 10% Working Conditions Office Environment - Must be able to remain in a stationary position 50% of the time and occasionally move about inside the office to access file cabinets, office machinery, etc. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. May be required to exert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body. Factory - The worker may be subject to hazards. Includes a variety of physical conditions, such as proximity to moving mechanical parts, vibration, moving vehicles, electrical current, exposure to temperature changes or exposure to chemicals. While performing the duties of this job, the employee may be exposed to fumes, airborne particles, odors, dust, mists, and gases. The noise level in the work environment can be loud. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines (including inspection); using measurement devices; and/or assembly or fabrication parts at distances close to the eyes. Machinery operation requires the use of safety equipment to include but not limited to eye safety glasses, hearing protectors, work boots, and lab coats. May be required to exert up to 35 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.

Looking for meaningful work where you can make a difference in global innovation? Engineer a better future with Aerotech, a global leader in precision motion and automation. Our customers create some of the most innovative products on the planet, from life-saving medical devices to tools for deep space exploration. Our precision motion and automation systems make it all possible. Build a lasting, satisfying career at Aerotech, where we foster growth, empower employees and promote from within. You'll find unparalleled opportunities and a company that values your voice. We also provide an extensive total rewards compensation system, including: Bonus payments every 6 months Rich health plans Retirement planning with our 100% company-paid Employee Stock Ownership Trust If you're mechanically inclined or technically savvy with a passion for cutting-edge technology, we want to hear from you. Position Summary: As an Electrical Manufacturing Engineer I, you will play a key role in enhancing our production capabilities for advanced robotic systems used in the medical and electronics industries. You will focus on designing and implementing automation tools, integrating sensors for data collection, and improving manufacturing processes for PCBs, electronics, and motors to drive efficiency and quality. Essential Functions: Design, develop, and improve manufacturing processes with a primary focus on Printed Circuit Boards (PCBs), electronics assemblies, wiring harnesses, and motors. Develop microcontroller robotic automation tools, and automated test equipment to enhance production efficiency and enable integrating and retrofitting sensors into manufacturing equipment for critical data collection. Assist in the analysis of collected manufacturing data to identify trends and drive process improvements. Collaborate with other engineering groups to provide guidance on Design for Manufacturability (DFM) for new and existing products. Assist troubleshooting and problem-solving efforts in manufacturing departments. Develop clear work instructions and procedures to document proper manufacturing processes. Assist with the physical layouts of manufacturing cells and assembly areas and acquires information and prepares feasibility studies or justifies purchase or building of new equipment Develop training methodology and assist with technical training on new equipment and processes. Additional duties: Assists with physical layout of manufacturing cells and assembly areas Acquires information and prepares feasibility studies for purchasing new equipment Participate in meetings, seminars, and training sessions to stay apprised of new developments in field Confer with workers in other departments such as sales, marketing, engineering and administration to provide technical information and implementation of operating procedures and to resolve system malfunctions As assigned Knowledge, skills, and abilities: Effective verbal and written communication skills Strong analytical and problem-solving skills Ability to define problems, collect data, establish facts, and draw valid conclusions Ability to interpret a variety of technical instructions in mathematical or diagram form Experience with Python or C programming is strongly preferred Familiarity with electrical CAD/ECAD software (e.g. AutoCAD Electrical, Altium, KiCad, SolidWorks) is preferred A basic understanding of database queries (e.g., SQL) is a plus Minimum Qualifications: Bachelor of Science (BS) degree in technical discipline such as Electrical Engineering from an accredited college or university Equivalent combination of education and experience may be considered Must be authorized to work in the United States without employer sponsorship. Aerotech does not provide US work authorization sponsorship for this position. OPT and CPT visa holders are not eligible for employment if they will need work authorization sponsorship at any time in the future. Benefits Aerotech has been advancing industries with our precision motion technology for more than 50 years. Our employees are our future, and we continue to grow by investing in our employees through continuous paid on-the-job training in a clean and climate-controlled environment, while providing the following exceptional benefits and more! Competitive compensation Bi-annual bonus Annual raise eligibility UPMC Health Insurance Dental insurance Vision insurance Life insurance Retirement Plan Employee Stock Ownership Trust 401k Paid time off Parental leave Referral program Professional development assistance Tuition reimbursement As an Equal Employment Opportunity/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, Veteran or disability status. The Company is collecting the information requested in this employment application for purposes of evaluating your suitability for hire by the Company. The Company will share the information that you provide in this employment application only with Company management officials who are involved in the hiring process or who are otherwise involved in making employment-related decisions on behalf of the Company.

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an exceptional Quality Assurance Engineer to serve as our quality champion and join our team to support our company's product development process. You will work hand-in-hand with our development team to identify elements that are in need of improvement and revision, whether this involves minor performance glitches or apocalypse-level bugs. You will be responsible for constructing and performing both automated and manual testing while producing associated documentation to assist with finding and correcting problems in the future. Through focus testing and automation, you will identify high-impact areas to enhance our platform quality, maintain an excellent user experience, and drive new feature functionality. In order to do this job well, you must be naturally curious and an eager problem solver. You love to break things and are obsessed with the details. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA.This role may require up to 10% travel Scope of Responsibilities Create, design, and develop all aspects of our automated testing, including creating and running automated regression test scripts. Formulate detailed test plans; create test cases, test scripts, test data and expected results for both manual and automated testing. Assist in managing development/DevOps processes towards a CI/CD workflow, aligning to a continuous release-based focus. Work directly with development team to iteratively plan, test, and release high-quality feature development Effectively understand requirements from customers and work with the internal team to design solutions to meet their requirements Generate team metrics and information that improve development practices Proactively identify opportunities to reduce risk and improve performance Manage and Track the defects/bugs using JIRA and coordinate defect review meetings to prioritize defects Coordinate with development team for feature release and defect management Qualifications U.S. Citizenship Required Skills: Bachelor's degree or equivalent work experience Must have prior experience working in a product organization 3+ years of software development in test experience, including expertise in testing methodologies, experience with standard QA and development tools, and the ability to operate within short-release cycles 3+ years of Software test automation experience working with the following technologies: Selenium, JavaScript, Python, PostgreSQL Minimum of 3 years hands-on experience in developing regression and functional test plans, managing defects, and implementing automated testing Excellent troubleshooting, analytical, and problem-solving skills Demonstrated ability to balance long-term roadmap vision with the unavoidable shifting of short-term priorities in an agile, startup environment Exceptional written and verbal communication with both client-facing and technical team members High degree of ability to work autonomously with little supervision in a fast-paced environment Self-motivated and organized Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience and interest in National Security Proficiency in working with Java applications Experience with performance/stress/load/volume testing Understanding of technological infrastructure involved in building data products We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job Description Motional's Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city's goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development. What you'll be doing: Define, lead, and own the security architecture for the autonomous driving platform, including the perception stack, sensor fusion, localization, and path planning systems. Architect robust security controls for safety-critical components, such as high-performance compute, sensor arrays, and fail-operational systems. Lead comprehensive threat modeling (STRIDE, TARA) on autonomous driving systems, addressing complex attack vectors like GPS spoofing, sensor blinding, and adversarial machine learning. Design and own the secure architecture for vehicle-to-cloud communication, over-the-air (OTA) updates, and high-volume data telemetry using AWS services. Provide technical oversight and direction for Managed Security Service Providers (MSSPs), defining monitoring requirements and validating service effectiveness. Develop and enforce security requirements based on industry standards (ISO/SAE 21434, UNECE WP.29 R155) for engineering teams. Serve as the lead technical authority on security for AI/ML, robotics, hardware, and systems engineering teams. What we're looking for: 8+ years of experience in product security, with at least 3 years focused on autonomous systems, robotics, automotive, or safety-critical embedded systems. Demonstrated experience securing autonomous driving domains, such as perception, sensor fusion, localization, or motion planning. Experience designing and securing AWS cloud infrastructure, including services like AWS IoT Core, SageMaker, KMS, and VPC. Knowledge of automotive architectures (ECU, CAN bus, Automotive Ethernet, AUTOSAR). Expertise in applied cryptography, identity and access management, secure boot processes, and secure development lifecycles (SDL). Hands-on experience with regulated cybersecurity standards, ideally automotive-related (ISO/SAE 21434). Bonus Points (not required): Experience with hardware-backed security (HSMs, TPMs, TrustZone). Familiarity with functional safety standards (ISO 26262). Experience managing or providing technical oversight for third-party security vendors or MSSPs. Background in vulnerability research or penetration testing for ML/AI systems. Relevant security certifications (CISSP, CSEP, GICSP, AWS Certified Security - Specialty). Advanced degree in Computer Science, Robotics, Electrical Engineering, or a related field. This role is hybrid from our Boston, Pittsburgh, or Las Vegas office. It requires two in-office days each week, ideally Tuesday and Thursday. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$170,000-$210,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded. Responsibilities: Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities. Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range. Contribute to improvement of model frameworks, architecture, and data pipelines. Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments. Drive highly cross-functional features and workstreams from problem statement to delivery. Contribute to the technical direction of the team and broader perception org. Align stakeholders with strong presentation and communication skills. Lead challenging technical topics and build consensus. Qualifications: Extensive experience architecting, training, and deploying deep learning models into real-world environments. Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization. Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable. Strong experience in software engineering and machine learning algorithm design. Fluency in Python. Experience with C++. We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our Privacy Policy. Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

On behalf of VetJobs/MilitarySpouseJobs, thank you for your interest. We are assisting our partnering company, listed below, with this position. It is open to Veterans, Transitioning Military, National Guard Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow for next steps. Compunetics, Inc. is a manufacturer of state-of-the-art rigid and flexible circuit boards producing products from fast turn high tech multilayer circuit board prototypes to non-traditional, high density and high-speed interconnects which serve a wide variety of customer requirements Compunetics is seeking a Manufacturing Engineer to take ownership of selected manufacturing processes and related process controls. Strengthen existing controls and work instructions and participate in engineering/quality activities Responsibilities: Take Ownership of selected manufacturing processes and related process controls Strengthen existing controls and work instructions Introduce new controls as needed Participate in engineering and quality activities Assess and monitor equipment and human resources to meet production requirement Select and make recommendation for new equipment to senior management This position may require direct supervision of Technicians and Operators Requirements: BS in Chemical, Mechanical, Electrical or Industrial Engineering 3-5 years' experience in a PCB manufacturing environment with involvement and responsibility for process control, process improvement and new process development is required Experience with direct supervision of Junior Engineers, Technician or Operators is strongly preferred Problem solving and fail analyst, process control, process improvement, cost reduction, section of new equipment, personnel training is required Strong interpersonal and good computer skills required Familiarity with SPC techniques and software, process control, and quality metrics is preferred We offer competitive wages and an excellent benefits package. **As a condition of employment, candidates MUST be a US Citizen. **

Motional's Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city's goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development. What you'll be doing: Define, lead, and own the security architecture for the autonomous driving platform, including the perception stack, sensor fusion, localization, and path planning systems. Architect robust security controls for safety-critical components, such as high-performance compute, sensor arrays, and fail-operational systems. Lead comprehensive threat modeling (STRIDE, TARA) on autonomous driving systems, addressing complex attack vectors like GPS spoofing, sensor blinding, and adversarial machine learning. Design and own the secure architecture for vehicle-to-cloud communication, over-the-air (OTA) updates, and high-volume data telemetry using AWS services. Provide technical oversight and direction for Managed Security Service Providers (MSSPs), defining monitoring requirements and validating service effectiveness. Develop and enforce security requirements based on industry standards (ISO/SAE 21434, UNECE WP.29 R155) for engineering teams. Serve as the lead technical authority on security for AI/ML, robotics, hardware, and systems engineering teams. What we're looking for: 8+ years of experience in product security, with at least 3 years focused on autonomous systems, robotics, automotive, or safety-critical embedded systems. Demonstrated experience securing autonomous driving domains, such as perception, sensor fusion, localization, or motion planning. Experience designing and securing AWS cloud infrastructure, including services like AWS IoT Core, SageMaker, KMS, and VPC. Knowledge of automotive architectures (ECU, CAN bus, Automotive Ethernet, AUTOSAR). Expertise in applied cryptography, identity and access management, secure boot processes, and secure development lifecycles (SDL). Hands-on experience with regulated cybersecurity standards, ideally automotive-related (ISO/SAE 21434). Bonus Points (not required): Experience with hardware-backed security (HSMs, TPMs, TrustZone). Familiarity with functional safety standards (ISO 26262). Experience managing or providing technical oversight for third-party security vendors or MSSPs. Background in vulnerability research or penetration testing for ML/AI systems. Relevant security certifications (CISSP, CSEP, GICSP, AWS Certified Security - Specialty). Advanced degree in Computer Science, Robotics, Electrical Engineering, or a related field. This role is hybrid from our Boston, Pittsburgh, or Las Vegas office. It requires two in-office days each week, ideally Tuesday and Thursday. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$170,000-$210,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Title: Machine Learning Lead Engineer Duration: 6 month Contract-to-Hire Education/Experience Required: Leading ML/DS projects in an industrial setting, experience working with time-series data and SCADA applications. Job Description & Responsibilities : Lead end-to-end delivery of data engineering and machine learning projects that improve operational efficiency and reduce emissions in natural gas development, production, and midstream operations. Own the full lifecycle of ML solutions from ideation and scoping, to data discovery, modeling, validation, deployment, and long-term monitoring. Provide technical leadership for a small but high-impact Data Engineering & Machine Learning team, including mentoring, code reviews, and setting best practices for quality and reliability. Work on-site with engineering, operations, and SCADA teams on-site to understand real-world constraints, define use cases, and translate business problems into data-driven solutions. Lead the effort to productionize existing models and scale multiple proof-of-concept solutions into robust, maintainable, and observable production systems. Architect, design, and implement data pipelines that ingest, clean, transform, and store large volumes of time-series and event data from SCADA systems, field sensors, and other industrial data sources. Develop and refine machine learning models focused on time-series problems such as forecasting, anomaly detection, remaining useful life estimation, and performance optimization of assets. Contribute to and help lead Digital Twin Analytics initiatives, integrating physics-based and data-driven models to simulate and optimize complex systems in the field. Collaborate on the design and implementation of anomaly detection frameworks that surface early warning signals for equipment failure, process instability, and emissions events. Partner with software and DevOps engineering to design and implement MLOps practices, including CI/CD for ML, feature stores, model versioning, model performance tracking, and automated retraining pipelines. Establish standards for model validation, A/B testing, and offline/online evaluation to ensure robustness and reliability in operational environments. Communicate technical concepts, tradeoffs, and results clearly to both technical stakeholders and non-technical operations leaders, including presenting insights and recommendations to leadership. Evaluate new tools, libraries, and cloud-native services in the data and ML ecosystem and make recommendations to improve performance, scalability, and developer productivity. Champion a culture of experimentation, data quality, and continuous improvement while keeping a strong focus on safety, regulatory compliance, and environmental impact. Skills & Qualifications : Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field; a graduate degree is preferred but not required with sufficient experience. 7+ years of hands-on experience in Data Science, Machine Learning, or Data Engineering, with at least 2+ years in a lead or senior role driving projects from concept to production. Strong proficiency in Python for data engineering and machine learning, including experience with common data and ML libraries (for example pandas, NumPy, scikit-learn, PyTorch or TensorFlow, statsmodels). Strong SQL skills and experience working with relational databases, time-series databases, or data warehouses for large-scale analytics. Proven experience working with time-series data in industrial or operational settings, including feature engineering, resampling, handling missing data, and building time-series forecasting or anomaly detection models. Experience integrating and analyzing SCADA data or similar industrial control and telemetry systems in energy, utilities, manufacturing, or related heavy industry. Solid understanding of data engineering concepts including ETL/ELT pipelines, batch and streaming architectures, and data modeling for analytical workloads. Hands-on experience with cloud platforms (such as AWS, Azure, or GCP) and modern data tooling, for example cloud storage, managed databases, containerization, and workflow orchestration tools. Practical exposure to MLOps practices, including deployment of models to production, monitoring model performance in real time, and maintaining models over their lifecycle. Familiarity with concepts and techniques related to Digital Twin Analytics, physics-informed models, or asset performance management in an industrial context is a strong plus. Strong software engineering fundamentals including version control (Git), code review practices, testing, and documentation. Demonstrated ability to lead cross-functional initiatives, prioritize a portfolio of projects, and manage stakeholder expectations in a fast-moving environment. Excellent communication skills, with the ability to explain complex technical concepts clearly and to influence decision making among operations leaders, field engineers, and executives. Willingness to work on-site in the Pittsburgh, PA area and periodically visit field or plant locations as needed; relocation support is available for exceptional candidates.

PLEASE APPLY THROUGH THIS LINK: ********************************************************** DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred : Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description This is an exempt salary position where the employee is responsible for designing and estimating mechanical work projects within the Conveyors manufacturing group specializing in developing tailor-made, cost-effective analytical solutions for conveyor systems. EDUCATION/EXPERIENCE: Minimum Three (3) Years Mechanical Design Experience Required Minimum Three (3) Years Estimator Experience Required Two-to-Five (2-5) Years Demonstrated CADD Experience Required Ross ERP & Microsoft Dynamics Customer Relations Management (CRM) Software Experience Preferred QUALIFICATIONS: Excellent analytical, problem solving and organizational skills with ability to work autonomously and/or collaboratively on multiple projects Creativity is an essential part of brainstorming new ideas, developing or improving products so they are of good quality, meet space or weight limitations, and achieve the cost objectives of customers Ability to listen effectively, articulate goals and progress of project(s), and communicate with a team of sales, research, and/or management personnel to meet needs of customers Understanding of manufacturing techniques, costs. Functional knowledge of Ross ERP and Microsoft Dynamics CRM Software Proficient math, science, and computer skills Proficient in CAD software (e.g., AutoCAD, SolidWorks, Illustrator). Strong understanding of machining processes, materials, and tolerances. “Team member” mentality with complementing ability to self-motivate, multi-task in fast-paced environment, and prioritize to meet ever changing deadlines Close visual acuity, near vision, fine manipulation, upper limb coordination, and ability to sit for extended periods while performing essential job duties Medium (up to 60 lbs.) lifting capability while performing essential job duties Ability to work 40+ hours flexible schedule that may require frequent domestic travel. Assignment location is 258 Kappa Drive Pittsburgh PA. Plant locations in Blairsville Pa and Lebanon Va. Travel required. RESPONSIBILITIES: Receiving Requests for Quotes (RFQ) and developing accurate cost estimates and detailed drawings. Develop and Update drawings using AutoCAD or Illustrator. Analyze labor, material, equipment, time requirements, etc. through material take-offs of detailed drawings. Interface with Corporate Purchasing Department for pricing to prepare detailed, organized estimates of costs. Present prepared estimates by compiling numerical and descriptive information. Prepare and submit required reports. Perform any other related job duty as requested by executive or plant management to ensure timely, accurate project design and estimation. *Excellent benefits include medical with a standard PPO plan with deductibles as low as $1,500 and wellness credit up to $750; voluntary 401k plan currently matching up to 12%; voluntary dental and vision plans; free telemedicine services; basic life, long and short-term disability coverage. EOE M/F/D/V