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  <jobs>
    <job>
      <externalid>16efb0ec-9c9</externalid>
      <Title>Senior Machine Learning Engineer - GenAI Platform</Title>
      <Description><![CDATA[<p>We are hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building.</p>
<p>As a senior machine learning engineer, you will play a key role in the end-to-end design and implementation of our product, which is a platform for powering use cases across training and serving of generative AI models. You will work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Designing and building the core platform infrastructure that supports our customer-facing product features</li>
<li>Ensuring the reliability, security, and scalability of the backend distributed systems that power all aspects of our product</li>
<li>Translating product requirements into user interfaces and backend distributed system design and owning end-to-end implementation</li>
</ul>
<p>We look for:</p>
<ul>
<li>4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++</li>
<li>Strong sense of distributed systems design and experience building large-scale systems</li>
<li>Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving</li>
<li>Direct experience developing ML models is a plus but not required</li>
<li>Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability</li>
<li>Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders</li>
</ul>
<p>Pay Range Transparency</p>
<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$166,000-$225,000 USD</Salaryrange>
      <Skills>Python, Scala, Go, C++, Distributed systems design, Large-scale system building, ML platform systems, Data preparation, Model training, Model evaluation, Model serving</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a unified platform for data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.</Employerdescription>
      <Employerwebsite>https://databricks.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/6954585002</Applyto>
      <Location>San Francisco, California</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>1715f009-d2f</externalid>
      <Title>Principal Application Engineer - Missile Defense</Title>
      <Description><![CDATA[<p>Engineer the Future with Us</p>
<p>We currently have 614 open roles</p>
<p>This position is a remote role; however, the successful candidate must be based in either the Huntsville, AL, or Colorado Springs, CO area.</p>
<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>
<p>Ansys Government Initiatives (AGI) is a wholly owned subsidiary of Synopsys, focused on advancing digital modeling and simulation for critical aerospace and defense applications. Our Ansys Customer Excellence (ACE) team collaborates with industry leaders and government agencies to model real-world systems and deliver state-of-the-art solutions for multi-domain, missile defense, sensor simulation, and AI/ML-driven analysis.</p>
<p>You Are:</p>
<p>You are a highly experienced engineering professional with a passion for advancing technology in aerospace and defense. Your expertise spans missile defense, sensor phenomenology, and signature modeling, allowing you to bridge the gap between physics-based simulations and real-world operational needs. You thrive in environments where complex systems require innovative thinking and technical rigor, and you are eager to make a meaningful impact on national security and defense initiatives.</p>
<p>Your deep domain knowledge enables you to integrate multi-domain sensing systems and radar phenomenology into simulation frameworks, supporting next-generation analysis and simulation. You possess a strong background in modeling threat trajectories, sensing environments and phenomenology, and generating datasets for AI/ML training. Your technical leadership and collaborative spirit empower you to work alongside subject matter experts, government partners, and industry stakeholders, ensuring the highest standards of simulation fidelity and accuracy.</p>
<p>With an active DoD TS/SCI clearance, you are ready to tackle sensitive and challenging projects. Your self-motivation, organizational skills, and ability to multitask equip you to excel in a fast-paced, timeline-driven environment. You are fluent in technical communication, adept at problem-solving, and driven to succeed in contributing to the aerospace and defense community.</p>
<p>What You’ll Be Doing:</p>
<ul>
<li><p>Develop high-fidelity modeling and simulation environments for air and missile defense systems.</p>
</li>
<li><p>Model threat trajectories and associated signature behaviors across multiple sensing modalities, including RF, IR, and other relevant spectra.</p>
</li>
<li><p>Develop and integrate signature simulation capabilities to represent realistic missile launch, staging events, and associated sensor-observable phenomena.</p>
</li>
<li><p>Apply expertise in radar phenomenology and RF sensing systems, including understanding how different radar bands and sensor architectures observe and interpret target behavior.</p>
</li>
<li><p>Simulate complex sensor observations for threat detection, tracking, discrimination, and battle management decision support.</p>
</li>
<li><p>Implement and utilize advanced modeling frameworks to represent sensing systems, track fusion, and custody management functions across the missile defense kill chain.</p>
</li>
<li><p>Contribute to the design and generation of synthetic data environments for training AI/ML systems used in sensor interpretation, target discrimination, and data fusion</p>
</li>
<li><p>Develop robust training datasets covering target-present and target-absent scenarios to mitigate algorithmic bias.</p>
</li>
<li><p>Collaborate with experts in signature characterization, sensor phenomenology, and threat modeling to ensure simulation fidelity and technical accuracy.</p>
</li>
<li><p>Support integration of modeling and sensing simulations into larger operational and analysis frameworks.</p>
</li>
<li><p>Provide technical leadership in missile defense sensing, signature modeling, and simulation fidelity.</p>
</li>
<li><p>Assist in defining modeling requirements and technical approaches for emerging programs involving generative simulation of sensing systems.</p>
</li>
</ul>
<p>The Impact You Will Have:</p>
<ul>
<li>Advance the development of next-generation air and missile defense systems through high-fidelity simulations.</li>
<li>Enhance the realism and accuracy of threat modeling, supporting critical defense analysis and simulation.</li>
<li>Drive innovation in sensor simulation and data generation for AI/ML applications in defense environments.</li>
<li>Improve operational effectiveness by enabling robust detection, tracking, and discrimination capabilities.</li>
<li>Support national security initiatives through technical leadership and expertise in missile defense architectures.</li>
<li>Foster collaboration across government, industry, and research partners to deliver impactful solutions.</li>
<li>Mitigate algorithmic bias and improve machine learning model performance with comprehensive synthetic datasets.</li>
<li>Contribute to the integration of advanced simulation tools into broader operational frameworks, enhancing overall system capabilities.</li>
</ul>
<p>What You’ll Need:</p>
<ul>
<li>BS degree in Engineering, Physics, Computer Science, or related field (Minimum Requirements -BS+10, MS+8years of experience, Preferred Requirements-BS+12, MS+10, or PhD+7years of experience).</li>
<li>Proficiency in MATLAB or Python scripting for modeling and interfacing with DoD systems.</li>
<li>Extensive experience in air and missile defense systems and related sensor architectures.</li>
<li>Deep understanding of sensor phenomenology and signature modeling, including RF and IR signatures.</li>
<li>Experience with real-world radar or EO/IR systems and data, to include threat systems.</li>
<li>Experience modeling radar sensing environments, including knowledge of radar bands (e.g., X-band) and their implications for target detection and characterization</li>
<li>Experience with Systems Tool Kit (STK) and Advanced Framework for Simulation, Integration and Modeling (AFSIM).</li>
<li>Familiarity with track fusion, discrimination algorithms, and battle management concepts within missile defense architectures.</li>
<li>Experience generating synthetic datasets for AI/ML training.</li>
<li>Understanding of machine learning data preparation and bias mitigation for sensor and target recognition applications.</li>
<li>Understanding of missile flight dynamics, including staging events and trajectory behaviors that impact sensor observables.</li>
<li>This position requires an active government security clearance, TS/SCI. You must be a U.S. Citizen for consideration.</li>
</ul>
<p>Who You Are:</p>
<ul>
<li>Logical problem-solver with strong interpersonal and communication skills.</li>
<li>Fluent in writing and speaking English.</li>
<li>Organized, with effective time management and a sense of urgency.</li>
<li>Professional image and business acumen; driven to succeed.</li>
<li>Self-motivated, able to multitask and thrive in timeline-driven environments.</li>
<li>Collaborative, able to work with other departments, customers, and industry partners.</li>
<li>Willing to travel domestically up to 25% of the time.</li>
</ul>
<p>The Team You’ll Be A Part Of:</p>
<p>You will join the Ansys Customer Excellence (ACE) team, a group of passionate engineers and technical experts dedicated to advancing simulation, modeling, and analysis for the aerospace and defense sector. The team collaborates closely with government agencies, laboratories, and industry partners to deliver innovative solutions that shape the future of air and missile defense. Together, we strive for technical excellence, operational impact, and continuous improvement in digital</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$160,000-$240,000</Salaryrange>
      <Skills>MATLAB, Python, air and missile defense systems, sensor phenomenology, signature modeling, RF and IR signatures, real-world radar or EO/IR systems and data, Systems Tool Kit (STK), Advanced Framework for Simulation, Integration and Modeling (AFSIM), track fusion, discrimination algorithms, battle management concepts, machine learning data preparation, bias mitigation, missile flight dynamics</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Synopsys</Employername>
      <Employerlogo>https://logos.yubhub.co/careers.synopsys.com.png</Employerlogo>
      <Employerdescription>Synopsys is a leading provider of electronic design automation (EDA) software and services. It has over 9,000 employees worldwide.</Employerdescription>
      <Employerwebsite>https://careers.synopsys.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://careers.synopsys.com/job/colorado/principal-application-engineer-missile-defense/44408/92936862704</Applyto>
      <Location>Huntsville, AL, or Colorado Springs, CO</Location>
      <Country></Country>
      <Postedate>2026-04-05</Postedate>
    </job>
    <job>
      <externalid>ab9eb004-a6e</externalid>
      <Title>Senior Consultant for Energy Storage and Photovoltaic Systems</Title>
      <Description><![CDATA[<p><strong>Job Description</strong></p>
<p>We are looking for a Senior Consultant to join our team in Stuttgart, Germany. As a Senior Consultant, you will be responsible for conceiving, planning, and coordinating large-scale energy storage and photovoltaic projects. You will work closely with our clients, including building owners, grid operators, and certification bodies, to ensure a smooth project execution.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Conceive, plan, and coordinate large-scale energy storage and photovoltaic projects</li>
<li>Analyze, optimize, and dimension energy storage and photovoltaic systems</li>
<li>Manage interfaces and coordinate with clients, grid operators, certification bodies, and executing companies to ensure a smooth project execution</li>
<li>Create economic calculations and overall energy concepts</li>
<li>Prepare and evaluate data</li>
<li>Research current developments in the field of renewable energies and regulatory requirements</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Excellent academic background in a relevant field</li>
<li>First professional experience in consulting or a related field</li>
<li>Strong consulting skills and understanding of presenting and mediating complex technical issues</li>
<li>Basic knowledge of protection, measurement, and control concepts (e.g., E-Plan, SLD)</li>
<li>Basic knowledge of technical connection rules in medium-voltage networks (VDE-AR-N 4105/4110)</li>
<li>Basic knowledge of Python and VBA is an advantage</li>
<li>Basic knowledge of MS Office, especially Excel</li>
<li>First experience with analysis tools such as CAD and/or PVSol is an advantage</li>
<li>Strong analytical skills and conceptual thinking, as well as structured, professional, and customer-oriented working methods</li>
<li>Interest in trends in the energy sector and new technologies, as well as a willingness to learn</li>
<li>Team skills and strong communication skills</li>
<li>Openness and motivation for active idea development and entrepreneurial co-determination</li>
<li>Secure communication in German and English in writing and speaking</li>
<li>Basic willingness to travel and flexibility</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>A young team with flat hierarchies and genuine communication on eye level</li>
<li>Location-independent, hybrid work at flexible working hours</li>
<li>Attractive and performance-oriented remuneration</li>
<li>Flexible and sustainable mobility offer, such as company car, mobility budget, and service bike</li>
<li>Individualized mentoring, coaching, and learning program</li>
<li>Relaxed, creative, and modern atmosphere in our barrier-free office in Stuttgart city center</li>
<li>Activity with overall societal relevance</li>
<li>Opportunity for entrepreneurial responsibility</li>
</ul>
<p><strong>How to Apply</strong></p>
<p>If you want to create exactly this and make a difference for society and the environment, think ahead, drive innovative topics, and complement our interdisciplinary team as a unique talent, then apply now! Whether career entry, next career step, or new responsibility, we look forward to becoming your new professional home.</p>
<p>We welcome applications from people with diverse backgrounds and skills, regardless of their gender identity, age, ethnic origin, religion, sexual orientation, or disability.</p>
<p>Interested? Or still have questions? Then please feel free to contact us. Or apply directly under: career@ie2s.com</p>
<p>WE LOOK FORWARD TO YOU!</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>energy storage, photovoltaic systems, project management, consulting, analysis, data preparation, research, Python, VBA, MS Office, CAD, PVSol</Skills>
      <Category>Engineering</Category>
      <Industry>Energy</Industry>
      <Employername>Intelligent Energy System Services GmbH</Employername>
      <Employerlogo>https://logos.yubhub.co/jobs.porsche.com.png</Employerlogo>
      <Employerdescription>Intelligent Energy System Services GmbH is a joint venture between MHP Management- and IT-Beratung and TransnetBW, a transmission grid operator. The company provides energy management, mobility, and infrastructure services.</Employerdescription>
      <Employerwebsite>https://jobs.porsche.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.porsche.com/index.php?ac=jobad&amp;id=19825</Applyto>
      <Location></Location>
      <Country></Country>
      <Postedate>2026-03-09</Postedate>
    </job>
    <job>
      <externalid>1e9535dc-601</externalid>
      <Title>Praktikum Logistik: Data Science &amp; Process Mining</Title>
      <Description><![CDATA[<p><strong>What you&#39;ll do</strong></p>
<p>Your focus will be on Data- and Process Analytics (e.g. Process Mining), Data processing (data preparation, structuring, provision, and visualization) of real data from production and logistics processes or other business processes (end-to-end, e.g. in the field of plant and production technology, supply chain, financial services).</p>
<p><strong>What you need</strong></p>
<p>Your focus will be on Data- and Process Analytics (e.g. Process Mining), Data processing (data preparation, structuring, provision, and visualization) of real data from production and logistics processes or other business processes (end-to-end, e.g. in the field of plant and production technology, supply chain, financial services).</p>
<p><strong>Why this matters</strong></p>
<p>This role keeps a world-championship-winning F1 team running. When equipment fails, races can be lost, so your work directly impacts performance. You&#39;ll develop deep expertise in high-spec facilities and have clear progression into senior facilities management roles. The F1 environment means you&#39;ll work with cutting-edge building systems and learn from the best in the industry.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>praktikum</Jobtype>
      <Experiencelevel>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Data- and Process Analytics, Data processing, Process Mining, Data preparation, Data structuring, Data provision, Data visualization, Real data, Production and logistics processes, Business processes, Plant and production technology, Supply chain, Financial services, Artificial Intelligence, Machine Learning, Neural networks, Continuous Integration and Continuous Delivery Tools, Process Mining, Business Intelligence Tools, Big Data and Cloud Applications</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Dr. Ing. h.c. F. Porsche AG</Employername>
      <Employerlogo>https://logos.yubhub.co/jobs.porsche.com.png</Employerlogo>
      <Employerdescription>Porsche is a valuable brand with worldwide appeal and a loyal customer base around the globe. The way we work together and hold each other in our teams is unique. Our togetherness is shaped by our strong Porsche culture: Heartblood | Sportiness | Pioneer spirit | A family</Employerdescription>
      <Employerwebsite>https://jobs.porsche.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.porsche.com/index.php?ac=jobad&amp;id=18542</Applyto>
      <Location>Stuttgart-Zuffenhausen</Location>
      <Country></Country>
      <Postedate>2025-12-08</Postedate>
    </job>
    <job>
      <externalid>d28e640d-b5a</externalid>
      <Title>Praktikum Aftersales Price &amp; Finance</Title>
      <Description><![CDATA[<p><strong>What you&#39;ll do</strong></p>
<p>You&#39;ll be responsible for data analysis and preparing the results in presentations. Your focus will be on international price formation of spare parts, international competition and market analysis, active involvement in ongoing projects and decision-making documents, aftersales sales planning, and data preparation of vehicle stock numbers.</p>
<ul>
<li>Data analysis and preparation of results in presentations</li>
<li>International price formation of spare parts</li>
<li>International competition and market analysis</li>
<li>Active involvement in ongoing projects and decision-making documents</li>
<li>Aftersales sales planning</li>
<li>Data preparation of vehicle stock numbers</li>
</ul>
<p><strong>What you need</strong></p>
<p>You&#39;ll need a study place for business studies, computer science, engineering, or a comparable course of study (at least in the 3rd semester or in the gap year between bachelor and master). Ideally, you&#39;ll have first practical experience in the field of strategy, market analysis, or pricing. You&#39;ll need good knowledge of the automotive industry and a sense of numbers, markets, and entrepreneurial connections. You&#39;ll need to be proficient in MS Office (especially Excel and PowerPoint) and have good analytical skills, a structured approach, and a pleasure in presenting complex topics in a clear way.</p>
<ul>
<li>Study place for business studies, computer science, engineering, or a comparable course of study</li>
<li>First practical experience in the field of strategy, market analysis, or pricing</li>
<li>Good knowledge of the automotive industry</li>
<li>Sense of numbers, markets, and entrepreneurial connections</li>
<li>Proficient in MS Office (especially Excel and PowerPoint)</li>
<li>Good analytical skills</li>
<li>Structured approach</li>
<li>Pleasure in presenting complex topics in a clear way</li>
</ul>
<p><strong>Why this matters</strong></p>
<p>This role is a great opportunity to gain practical experience in the field of pricing and finance at a leading company in the automotive industry. You&#39;ll work closely with experienced professionals and have the chance to develop your skills and knowledge in a dynamic and challenging environment.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>internship</Jobtype>
      <Experiencelevel>entry</Experiencelevel>
      <Workarrangement></Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>data analysis, presentation skills, international price formation, market analysis, project management, sales planning, data preparation, MS Office, Excel, PowerPoint, analytical skills, structured approach</Skills>
      <Category>Finance</Category>
      <Industry>Automotive</Industry>
      <Employername>Dr. Ing. h.c. F. Porsche AG</Employername>
      <Employerlogo>https://logos.yubhub.co/jobs.porsche.com.png</Employerlogo>
      <Employerdescription>Porsche is a valuable brand with worldwide appeal and a loyal customer base around the globe. The way we work together and hold each other accountable is unique. Our Miteinander is shaped by our strong Porsche culture: Heartblood | Sportiness | Pioneer spirit | A family. We live diversity, promote equal opportunities, and actively foster an inclusive togetherness. Respect and tolerance are deeply rooted in our corporate culture. We create an environment that fosters the individuality of each person in the interest of the company.</Employerdescription>
      <Employerwebsite>https://jobs.porsche.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.porsche.com/index.php?ac=jobad&amp;id=18231</Applyto>
      <Location>Stuttgart-Zuffenhausen</Location>
      <Country></Country>
      <Postedate>2025-12-08</Postedate>
    </job>
  </jobs>
</source>