Computer engineering Jobs in Boston, MA

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We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Lead the Intelligence Logic team responsible for the next generation of endovascular robotic interventions, spanning real-time image analytics for device navigation and computer vision, and procedural workflow orchestration that models, predicts, and automates (neuro)endovascular procedures. Your tasks and responsibilities: * You lead and mentor a team of software developers spanning computer vision/AI imaging (Software Developer CV) and workflow orchestration (Software Developer WfO), setting technical direction and ensuring alignment across both disciplines. * You coordinate and shape the technical roadmap for the integration of AI-driven image analytics, sensor fusion/localization, and workflow engines that coordinate imaging and robotics in the interventional suite, working in close alignment with and support development teams in Germany. * You oversee the development and evaluation of deep learning approaches for real-time image analysis (segmentation, registration, object detection/tracking) as well as state machines and digital representations of (neurovascular) procedures. * You partner closely with cross-functional experts, including computer vision, robotics, clinical, and hardware teams, to ensure safe orchestration of clinical workflows, including failure detection and uncertainty estimation. * You manage team priorities, sprint planning, and delivery milestones, removing blockers and ensuring the team follows DevOps and MLOps best practices spanning the full lifecycle of software and machine learning models. * You work with multi-modal data relevant to minimally invasive therapies such as x-ray fluoroscopy, digital subtraction angiography, (cone-beam) computed tomography, robotic data and endovascular device shape sensing. * You work in an interdisciplinary regulated medical device environment and collaborate closely with cross-functional experts. * To find out more about the specific business, have a look at https://www.siemens-healthineers.com/products-services Your qualifications and experience: * You have a Master's degree with 6+ years of experience in Biomedical Engineering, Computer Science, Artificial Intelligence, Robotics, or a related field.
A PhD is highly preferred. * You have prior experience leading or mentoring engineers and/or software developers, e.g., as a technical lead, team lead, or in a similar people-management capacity within a software or R&D organization. * You have a strong background in computer vision and medical image analysis including common tasks such as segmentation, registration, and object detection and tracking. * You have an in-depth understanding of state-of-the-art deep learning methods. * You have a strong background of robotics concepts including state estimation, sensor fusion and working knowledge of control theory concepts like model predictive control * You have experience in development of machine learning models using modern frameworks such as PyTorch and MLOps approaches spanning the whole lifecycle of machine learning models. * You have experience in programming with Python and C++/Cuda, and software engineering following DevOps best practices. * Scientific publications in relevant top-tier journals or venues such as IEEE TMI, CVPR, ICCV/ECCV, MICCAI, or comparable are a plus. Your attributes and skills: * You have a very good command of English, both written and spoken, which enables you to communicate effectively in our international environment. * You demonstrate strong leadership, coaching, and communication skills, with the ability to motivate a technically diverse team and align it around shared goals. * You are creative and continuously develop innovative ideas to further develop our solutions in the field of image-guided automation. * On a personal level, you impress with your organizational skills and communication abilities, initiative, and curiosity to learn. Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries.
As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing.
Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas.
We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare.
For everyone.
Everywhere.
Sustainably. To find out more about Siemens Healthineers businesses, please visit our company page here. The base pay range for this position is: $114,920 - $158,015 Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan.
Commissions are based on individual performance and/or company performance. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan.
life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination.
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