Siemens Staff Software Engineer for Research Team in Hoffman Estates, Illinois
Staff Software Engineer for Research Team
Locations:Hoffman Estates, Illinois
Job Family: Research & Development
Division: Siemens Healthineers
Business Unit: Diagnostic Imaging
Requisition Number: 211258
Primary Location: United States-Illinois-Hoffman Estates
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: 15%
Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.
With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry and a leader in medical imaging, laboratory diagnostics and healthcare IT. All supported by a comprehensive portfolio of clinical consulting, training, and services available across the globe and tailored to customers’ needs. So that more people can have a life that is longer, richer, and more filled with happiness.
For more information, please visit: http://www.usa.siemens.com/healthcare
Siemens Medical Solutions USA, Inc. is one of the largest global suppliers of healthcare equipment, renowned for innovative products, services and solutions including diagnostic imaging systems, therapy equipment for treatment and electro-medicine and IT solutions to optimize workflow and increase efficiency in the healthcare industry.
We are working on novel technologies to develop next generation quantitative multimodal SPECT.
We are seeking an experienced software engineer with excellent academic background in computer science to rapidly implement complex prototypes that will go into a clinical testing environment, and develop software tools for data and image analysis.
You will work in a multi-disciplinary team of scientists and have access to luminary researchers worldwide. You will support the computational and image processing efforts of the team. You should be comfortable to work on different platforms ranging from high performance CPU/GPU based workstations to clusters to cloud deployments, and be able to handle multiple projects with aggressive timelines.
· M.S or Ph.D. in computer sciences or equivalent
· >5years’ experience
· Desired areas of expertise:
o Image and Data processing,
o Machine learning,
o Parallel and high performance computing with CUDA/OpenCL, Matlab, C/C++/C# on Windows (must), Linux/Unix platforms.
o Distributed computing including deployment
· Ability to communicate with both scientists and non-scientists is essential
Exceptionally qualified candidates who do not meet all requirements will also be considered.
Equal Employment Opportunity Statement
Siemens 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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf .