We are Siemens Siemens DISWis a world-leading provider of product lifecycle management and manufacturingoperations management software. We help thousands of companies realiseinnovation by optimising their processes, from planning and development throughmanufacturing, production and support. Siemens DISW is a business unit of theSiemens Digital Industries Division. Driven by a deep understanding of what ittakes to deliver successful products.
Help ourcustomers transform their business with our world-leading technology!TessentEmbedded Analytics is a pioneering developer of analytics and monitoringtechnology at the heart of the systems-on-chip (SoCs) that power today'selectronic products. Our embedded analytics technology allows product designersto add advanced cybersecurity, functional safety and performance tuningfeatures; and it helps resolve critical issues such as increasing systemcomplexity and ever- decreasing time-to-market.
Requirements:
- Career background and/or education in technology (electronics, telecoms, manufacturing) with enough time in a practical data science role, but not forgetting the technology world: what we need and why
- Comfortable with deep learning and statistical learning methods and algorithms and familiarity with feature engineering
- Experience with using Python and relevant libraries (TensorFlow, Pandas, NumPy, scikit-learn, diagramming packages to name a few)
- Experience with C/C++ 11/14 , for implementing machine learning algorithms "on the edge"
- Understanding of data handling (databases, data storage, serialisation languages like XML, YAML)
- Experience with creating data visualisations
- Ability to understand complex products, solutions, and problems
- A real demonstrable desire to get things done and to advance both ours and our clients' businesses forward
- An understanding and interest in the world of silicon would be an advantage
- Ability to work independently including evaluating different solutions to a problem
- High level of proficiency and technical expertise; a curious and analytical approach
- Industrial experience: mid-level
Responsibilities:
- Investigate and develop machine learning models working on data provided by Embedded Analytics hardware and other low-level sources close to the SoC; models will be applied in the areas of performance monitoring, cybersecurity, functional safety, anomaly detection (to name a few)
- Design models for deployment on the edge (embedded) or in the cloud or a combination of these
- Conceptualize, design, develop, modify, and implement machine learning applications and frameworks (both internal and external)
- Document the work being done (concepts, requirements, design)
- Work with software designs which may involve complicated workflows or multiple product areas
- Make sure the created source code conforms to coding standards (both internal and external)
- Ensure the functional quality of these applications on all required platforms
- Work with general supervision on complex projects with latitude for independent judgment
At Siemens weare always challenging ourselves to build a better future. We need the mostinnovative and diverse Digital Minds to develop tomorrow's reality. Find outmore about the Digital world of Siemens here:
Join our Digital World We are anequal opportunity employer and value diversity at our company. We do notdiscriminate on the basis of race, religion, colour, national origin, sex,gender, gender expression, sexual orientation, age, marital status, veteranstatus, or disability status.
We offer acomprehensive reward package which includes a competitive basic salary, bonusscheme, generous holiday allowance, pension, private healthcare and activelysupport working from home.
We willensure that individuals with disabilities are provided reasonable accommodationto participate in the job application or interview process, to perform crucialjob functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.
At Siemens,we are always challenging ourselves to build a better future. We have some ofthe most inquisitive minds working across the world, re-imagining the futureand doing outstanding things. Join our Talent Community today and let's stayconnected in areas that interest you:
Siemens Software. Where today meets tomorrow Organization: Digital Industries
Company: Siemens Electronic Design Automation Ltd
Experience Level: Experienced Professional
Full / Part time: Full-time
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