Summary Seeking a Senior Systems Verification and Validation (V&V) Engineer. The selected candidate will work as a V&V Lead to coordinate all V&V activities necessary to support the release of new and updated medical devices. Focus will be assessing and testing the requirements of electromechanical medical devices at the system, sub-system, and part level. Examples include ventilators, sleep therapy devices, oxygen concentrators, personal wellness devices, and the accessories necessary for proper functionality of these types of devices. Roles & Responsibilities Learn from and adhere to internal quality manual (Quality System Procedures, Work Instructions, Forms). Interact with cross-functional project teams to provide inputs to project plans and schedules. Estimate resource needs for project support. Review requirements and scrutinize for testability. Develop V&V test plans, test procedures, requirements trace matrices, and test reports. Assign project tasks and responsibilities to V&V team. Act as advisor to team to meet schedules and solve technical problems. Quickly learn to use automated test tools and specialty test equipment; develop and validate novel test methods (TMV, DOE, Gage R&R studies). Execute test procedures both personally and using test technicians. Log defects and issues found during V&V activities and track to closure. Participate in defect review boards. Perform regression analysis and determine testing associated with design changes. Plan and facilitate V&V formal technical review and design review meetings. Provide weekly project status reports. Prioritize project tasks to complete on schedule while maintaining quality of work. Work in a team environment; peer review work. Work on multiple, concurrent projects. You are a part of Our group works closely with the development team throughout the product development process. We play an active role early on in ensuring requirements are complete, unambiguous, and testable, collaborate to develop detailed test plans, and assist with development testing prior to the verification and validation phase. Minimum Qualifications To succeed in this role, you should have the following skills and experience Bachelor's Degree in an engineering discipline; electrical engineering or mechanical engineer background preferred. 5 years professional experience in the medical device industry. Working knowledge of global medical device regulations, requirements, and standards.

We create smart innovations to meet the mobility challenges oftoday and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric busesand driverless trains, as well asinfrastructure, signalling and digital mobility solutions. Joining us meansjoininga truly global community ofmore than 75,000 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact. Alstom is looking for a Software Engineering Manager to be based in Pittsburgh, PA, United States What will you do? You will l ead a Software team involved in a set of programs or projects, ensuring quality target and repeatable performances. Staff the team and follow-up program/project strategy definition and task execution, delivering as per QCD commitments. Identify, generalize, and stabilize best practice. Lead continuous team improvement, plan trainings and coach the team, nurture skill growth and capitalization. Stand as reference in your domain, for both your team and your peers. You will interact with all team members, so your communication as well as your motivation skills should be excellent. Ultimately, you should lead by being recognized as a domain authority, committed to achievement. Your responsibilities: Agree and implement the development centre guidelines (team profile and skills, growth plans, discipline evolutions in terms of technology, competitiveness, ) Develop and maintain domain competences, coaching the team and growing World Class Engineering Experts Set clear team goals, delegate tasks and set deadlines Provide support to team project/program execution Promote Alstom values to his/her team Be a People Manager by Continuously motivate, encourage, evaluate and recognize, train and develop resources, in cooperation with HR, as per approved performance evaluation process and targets Deploy Process, Methods and Tools in Test Engineering team, providing feedback for Process reviews Collect REX from execution and innovation opportunities to feed Reference Library where applicable and share outcomes at department level Manage adequacy between estimated workload and capacity, report status and issues to department head Education: Bachelor's degree of Science in Engineering, Computer Science or scientific subjects Experience: Software Engineering and processes background Experience in project/program execution and management Specific hands-on experience in own Metier/Domain Experience and understanding in project effort estimation Experience with SW Agile execution Competencies & Skills: Excellent communication and leadership skills Open-minded (Self) entrepreneurial Organizational and time-management skills Decision-making skills English, full proficient use We believe that a diverse and inclusive workforce is a lever to running a sustainable and successful business. We are dedicated to creating an inclusive environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected.Alstom abides by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Accommodations for Applicants with Disabilities Alstom provides reasonable accommodations and/or assistance to applicants with disabilities and disabled veterans (including but not limited to other protected veterans and individuals with known physical and mental limitations). If you need a reasonable accommodation/assistance for any part of the application and/or hiring process, please note this in our online application. Successful applicants will be required to undergo pre-employment drug testing for unauthorized substances. Marijuana and medical marijuana are considered unauthorized substances. Additionally, upon date of hire, applicants will be required to complete the U.S. Department Homeland Security's I-9 form confirming identity and authorization to work in the United States. Equal opportunity statement: Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected. All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law. Nearest Major Market: Pittsburgh Job Segment: Testing, Developer, Manager, Computer Science, Technology, Management

About the Company Plant level knowledge is vital to satisfying the food production needs from projected a forty percent increase in world population over the next thirty years. We support that goal by continuously and automatically assessing the health and performance of the world’s $1T specialty crops, one plant at a time, with deep learning and imaging. Currently, Bloomfield is focused on wine, table, and juice grapes as well as, more recently, blueberries. Our portable Flash cameras and supporting platform capture, geo-locate and share the condition of each vine, tree and bush, along with the various features of that plant. This information, in turn, informs a variety of decisions and actions that growers take every day to increase the size, quality and consistency of yields and doing so without increasing the resources used to produce those yields. About the Role We are seeking a skilled and motivated Embedded Systems Developer to join our team and help design and develop software systems for integrating MIPI cameras with NVIDIA Jetson devices. The successful candidate will possess a deep understanding of embedded camera systems and the MIPI-CSI-2 interface. Responsibilities: Design, develop, and optimize software for embedded systems on NVIDIA Jetson platforms. Integrate and configure MIPI-CSI-2 based camera modules with an NVIDIA Jetson device. Develop camera drivers, middleware, and applications tailored for specific use cases. Collaborate with hardware engineers to optimize camera system performance and functionality. Participate in design reviews, code reviews, and ensure that software meets quality standards. Debug and resolve software and hardware integration issues. Stay updated with the latest advancements in embedded systems and camera technologies. Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Master’s or higher preferred. 3 years of experience with embedded software development, preferably on ARM platforms. Hands-on experience with NVIDIA Jetson platforms and SDKs. Proficiency with MIPI-CSI-2 and embedded camera systems integration. Strong C/C++ programming skills. Familiarity with Linux OS, kernel, and driver development. Knowledge of computer vision and image processing algorithms is a plus. What We Offer In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including: Competitive base salary, bonus & stock options Medical, dental and vision insurance 401(k) retirement plan with company match Unlimited PTO Parental Leave Training & Development Stipend Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.

Reference : 2022494 Incumbent is a student performing an hourly paid internship. We are seeking applicants for Software Engineer interns for the winter of 2024 and spring of 2025 to work with our teams at the National Robotics Engineering Center at Carnegie Mellon University in Lawrenceville in Pittsburgh. Successful applicants must be currently studying at the Undergraduate or Graduate level in one of the following disciplines: Robotics, Computer Vision, Machine Learning, Software Engineering or Computer Science, Computer Engineering, System Engineering, or similar related fields. You will be supporting an off-road autonomous robot. Your primary responsibilities include: Assisting the engineering team by automating development/debugging tasks Assisting the engineering team by analyzing data and providing reports Assisting the engineering team by performing various deployment and data handling tasks Performing engineering design tasks and problem-solving activities related to robotic or automated system development Performing engineering tests and creating testing documentation Creating and/or checking engineering documentation Communicating and collaborating with multiple stakeholders to provide updates and provide task deliverables Work on substantive projects that have impact on program success Required Qualifications: Current enrollment in a degree-seeking program at the Bachelor's, Master's, or Doctorate level Experience working and collaborating within a team Experience with python Self-motivated, curious, and failure-seeking to achieve continuous improvements Applies critical big picture thinking in completing tasks Must be highly organized with the ability to work on multiple projects/tasks simultaneously and remain agile given changing priorities Practices attention to detail, and respect for documentation accuracy and information sharing Internship Work Period: Must be available to work part-time (approximately 10 hours per week) during a 12-14 week period starting November 2024. Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees. Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insuranceto an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more For a comprehensive overview of the benefits that may beawaiting you, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse 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 LocationPittsburgh, PA Job FunctionNon-CMU Students Position TypeIntern (Fixed Term) Full Time/Part timePart time Pay BasisHourly 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 Carnegi Mellon University considers applicants for employment without regard to, and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.

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 training and deployment team, part of the ML Platform org at Stack AV, is responsible for the platform that helps the AI team to build models, optimize, test, and deploy them on the autonomous vehicles. We are seeking an experienced and hands-on engineer for our ML acceleration team. The ideal candidate will have a deep understanding of GPUs and optimization, excellent collaboration skills, and the ability to drive technical excellence. Responsibilities: Analyze and profile ML models to identify performance bottlenecks. Use OSS tooling to enhance our platform to enable ML engineers to profile models and optimize them (e.g., through quantization). Automate the process of exporting the model to optimized format (e.g., TensorRT) and deploying them. This including transformer-based models such as VLM models. Implement optimizations using CUDA, Triton, and custom kernels. Collaborate with ML researchers to balance model accuracy and speed. Develop and implement efficient model export, optimization, and profiling solutions to enhance performance and streamline deployment of machine learning models across various hardware platforms. Collaboration: Collaborate with cross-functional teams to understand data requirements and design appropriate solutions. Technology Stack: Stay updated with the latest technologies and trends in ML inference and ML accelerators. Performance Optimization: Identify and resolve performance bottlenecks in models. Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5 years of experience (including experience with GPU programming and optimization). Strong programming skills in C++ and Python. Proven experience in GPU programming and optimization. Familiarity with deep learning frameworks, especially PyTorch. CUDA programming. Triton language for GPU kernels. PyTorch optimization techniques. TensorRT implementation. ONNX model conversion and deployment. Custom GPU kernel development. Strong analytical and problem-solving skills. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. LI-AW1 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.

Software Engineer Jobs in Bloomfield, PA

Software Engineer Ii
December 10, 2024

Software Engineering Manager
November 29, 2024

Embedded Software Engineer Camera Systems
November 29, 2024

Software Engineer Intern Parttime Nrec
November 29, 2024

Staff Software Engineer Ml Acceleration Ic
November 29, 2024

Software Engineer Ii
November 28, 2024

Quick filters

Top companies

Software Engineer Jobs in Bloomfield, PA

Software Engineer IiDecember 10, 2024

Software Engineering ManagerNovember 29, 2024

Embedded Software Engineer Camera SystemsNovember 29, 2024

Software Engineer Intern Parttime NrecNovember 29, 2024

Staff Software Engineer Ml Acceleration IcNovember 29, 2024

Software Engineer IiNovember 28, 2024