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JDs/apple_data_engineer.txt.txt

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+Summary
+Posted:
+Feb 23, 2026
+Weekly Hours:
+40
+Role Number:
+200619950-4170
+Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app. 
+
+We’re looking for an exceptional software & data engineer who is passionate about Apple products and values; who has a passion for data, is comfortable in a fast pace environment and who is committed to the hard work necessary to continuously improve our ML data pipelines.
+
+We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple!
+Description
+Our team works in close interaction with ML applied research teams, infrastructure and client teams, as well as with other groups and other functions across Apple (legal, privacy) and externally. This position focuses on designing and implementing flexible data pipelines and data tools based on advanced computer vision technology, NLP and humans in the loop. 
+
+Responsibilities may include:
+
+* design consistent and robust data models
+* design and implement data pipelines to process data at scale (up to the Petabyte scale!)
+* find creative ways to automate data flows, or build self service tooling that enable PMs to iterate faster   
+* production-ize synthetic data workflows 
+* preprocess, transform and clean data in multiple domains (tabular, image, video, text, etc...) and at scale
+* interact with ML models to optimize human-in-the-loop workflows
+* support the day-to-day operations of the data team 
+Minimum Qualifications
+
+    Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience.
+    Excellent programing skills in Python with strong CS foundations (data structure, low level parallelization)
+    Experience in Machine Learning (eg familiarity with model training) in either NLP, or Computer Vision
+    You are able to design, prototype and put in production robust data components that scale
+
+Preferred Qualifications
+
+    Experience working with data orchestration frameworks such as Airflow, and other data related environment (No)SQL, Docker, Kubernetes, Spark, Databricks
+    You are resilient in a fast pace environment, comfortable with ambiguity and juggling between different projects with short term deliveries. You have excellent written and verbal communication skills.
+    Experience designing and implementing agentic workflow
+
+At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

JDs/example_jd.txt

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-Whitfield University
-Department of Biomedical Engineering
-
-ASSISTANT PROFESSOR — COMPUTATIONAL PROTEIN ENGINEERING
-Position ID: BME-2026-0042
-Location: Westbrook, MA
-Full-Time | Tenure-Track | Salary Range: $100,000 -- $140,000
-
-ABOUT THE ROLE
-The Department of Biomedical Engineering at Whitfield University invites applications for a tenure-track Assistant Professor in computational protein engineering. The successful candidate will establish an independent research program leveraging machine learning and molecular simulation for protein design and drug discovery. You will join a collegial department of 18 faculty with strengths in biomaterials, structural biology, and therapeutic design.
-
-RESPONSIBILITIES
-- Establish and lead an independent computational research group
-- Develop ML models for protein stability prediction and enzyme design
-- Perform molecular dynamics simulations of protein-ligand systems using GROMACS or OpenMM
-- Design high-throughput virtual screening workflows for drug candidates
-- Teach undergraduate and graduate courses in biomedical engineering (2 courses/year)
-- Advise M.S. and Ph.D. students
-- Publish results in peer-reviewed journals and present at national conferences
-- Contribute to open-source bioinformatics tools and shared computational infrastructure
-- Seek external funding (NIH, NSF, industry partnerships)
-- Participate in departmental service and interdisciplinary collaborations
-
-REQUIRED QUALIFICATIONS
-- Ph.D. in Biomedical Engineering, Computational Biology, Biophysics, or related field
-- Demonstrated experience with protein structure prediction or molecular docking tools
-- Experience developing or applying ML models for biological sequence or structure data
-- Proficiency in molecular dynamics simulations (GROMACS, OpenMM, AMBER, or equivalent)
-- Strong programming skills in Python; familiarity with bioinformatics libraries
-- Publication record in computational biology or protein engineering (3+ first-author papers)
-- Evidence of teaching ability or potential
-- Excellent written and oral communication skills
-
-PREFERRED QUALIFICATIONS
-- Experience with deep learning architectures for protein representation (transformers, graph networks)
-- Familiarity with directed evolution or rational design strategies
-- Knowledge of free energy perturbation or enhanced sampling methods
-- Experience with cloud or HPC workflow automation (Snakemake, Nextflow, or equivalent)
-- Track record of open-source software contributions
-- Postdoctoral research experience
-
-WHAT WE OFFER
-- Competitive salary with startup package ($500K over 3 years)
-- Comprehensive benefits (health, dental, vision, retirement with 8% match)
-- Access to university HPC resources (10,000+ GPU cluster)
-- Collaborative, publication-friendly research environment
-- Relocation assistance available
-
-TO APPLY
-Submit CV, cover letter, research statement, teaching statement, and contact information for 3 references through our online portal. Review of applications begins April 15, 2026. Position open until filled. Whitfield University is an equal opportunity employer.

JDs/infineon_ai_doctoral.txt.txt

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+Job Id
+HRC1570652
+Jobfamilie
+Research & Development
+Beschäftigungsart
+Vollzeit
+Vertragsdauer
+Befristet
+Arbeitsplatztyp
+Hybrid
+Einsteigen als
+PhD Student
+#WeAreIn to create tiny chips and big careers. Curiosity drives progress. Will you drive it with us? As a PhD student at Infineon, you’ll collaborate with passionate minds, shape innovations that power tomorrow’s world, and build a career where your expertise truly makes a difference. Are you in?
+
+Your Role
+
+As part of an industrial doctorate at Infineon, you will pursue a doctoral degree at a university while gaining professional experience at the same time - an ideal way to start your career. You will advance your research with us and benefit from our broad network of doctoral candidates as well as the expertise of a university. Mentorship is provided by both university professors and dedicated Infineon employees. The research will be carried out in cooperation with the Technical University of Munich under the supervision of Prof. Dr.-Ing. Ulf Schlichtmann.
+By 2030, a significant shortage of skilled design and verification engineers is expected. This shortage is further intensified by the increasing complexity of system-on-chips (SoCs), especially those based on RISC-V, which are rapidly gaining adoption due to their open-source nature and flexibility. As complexity rises, verification effort grows proportionally and can account for up to 60% of overall product development time. To reduce time-to-market while maintaining high quality and reliability, innovative solutions are needed to streamline verification processes.
+Artificial intelligence (AI), particularly generative AI (GenAI), has recently emerged as a promising driver of productivity improvements. In both academia and industry, developments such as agentic AI workflows have demonstrated the potential of AI to automate and enhance engineering processes. In the field of digital functional verification, AI has the potential to transform areas such as assertion generation, testbench generation, coverage closure, and bug detection.
+The scope of this doctoral thesis is to develop an AI-based methodology aimed at increasing the productivity of verification engineers, specifically in pre-silicon verification tasks. These include formal verification, Universal Verification Methodology (UVM), and related techniques. By integrating AI-driven approaches into these workflows, the research aims to reduce verification effort, improve process efficiency, and help address the skills gap in this domain.
+
+Key responsibilities in your new role
+
+    Literature research: On existing solutions and state-of-the-art AI-based techniques
+    Focus on the future: Development of an AI-based methodology for digital functional verification
+    Holistic overview: Automation of the AI-based workflow for company-wide adoption
+    Expand your horizons: Application of the methodology on digital designs such as RISC-V processors
+    Data is everything: Documentation and analysis of obtained results
+
+What you will gain
+
+    Deep expertise in design verification
+    Strong practical skills in applying AI to engineering problems
+
+
+
+Your Profile
+
+Qualifications and skills to help you succeed
+
+    Education: You are eligible for full-time PhD studies and hold a master’s degree in Electrical Engineering, Computer Science, or a similar field with excellent results
+    Experience: In the field of digital design and verification methodologies
+    Mandatory skills: Strong analytical and problem-solving skills, as well as excellent programming skills (preferably in Python and C++) with knowledge in AI/ML techniques
+    Preferable skills:
+        Experience with commercial EDA tools for formal verification and simulation
+        Experience with AI/ML applications in design verification or a similar field
+        Familiarity with scripting languages such as Bash and Perl
+
+    Motivation: You are enthusiastic about innovation, research, and scientific writing
+    Way of working: You question the status quo and like to break new ground
+    Language skills: Good written and spoken skills in English; German would be a plus
+
+
+
+
+
+Contact:
+    Rahel Tews
+
+#WeAreIn for driving decarbonization and digitalization.
+As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
+Are you in?
+
+We are on a journey to create the best Infineon for everyone.
+This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
+We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
+Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
+Click here for more information about Diversity & Inclusion at Infineon.

JDs/infineon_ai_engineer.txt.txt

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+Job Id
+HRC1429740
+Jobfamilie
+Marketing
+Beschäftigungsart
+Vollzeit
+Vertragsdauer
+Unbefristet
+Einsteigen als
+Berufserfahrene*r (inkl. Management Positionen)
+Dresden
+Your Role
+
+Key responsibilities in your new role
+
+    Proven expertise in machine learning and deep learning, including custom model design, training, optimization and deployment for embedded/edge devices
+    Strong hands-on experience with microcontrollers, embedded systems and real-time processing, ideally within automotive related environments
+    Ability to integrate trained models into firmware/software stacks, ensuring efficiency, reliability and compliance with industry standards and regulations (e.g. functional safety, cybersecurity, EU AI Act)
+    Proficiency in C/C++, Python and modern AI/ML frameworks (e.g.TensorFlow, PyTorch) plus experience with Generative AI tools and frameworks such as LangChain
+    Ideally, experience with cloud-based deployments and infrastructure, containerization (Docker) and orchestration tools such as Kubernetes forAI/ML workflows
+
+
+
+Your Profile
+
+Qualifications and skills to help you succeed
+
+    Master’s degree or higher in Computer Science, Electrical Engineering, Artificial Intelligence or a related field
+    5+ years of relevant professional experience in software engineering, embedded systems and applied machine learning, thereof 2+ years in asenior or lead role
+    Self-driven and proactive in identifying opportunities, taking ownership and driving projects from concept to completion
+    Strong communication skills, able to articulate complex technical topics to both technical and non-technical stakeholders
+    Demonstrated leadership and ability to act as a technical projectlead, guiding cross-functional teams
+    Collaborative and adaptable, comfortable working in multidisciplinary environments with fast-changing priorities
+
+
+
+
+Contact:
+    Felix Krackau
+
+#WeAreIn for driving decarbonization and digitalization.
+As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
+Are you in?
+
+We are on a journey to create the best Infineon for everyone.
+This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
+We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
+Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
+Click here for more information about Diversity & Inclusion at Infineon.
+
+