Role Description Consistent with and supportive of CTU's mission (to provide industry-relevant higher education to a diverse student population through innovative technology and experienced faculty, enabling the pursuit of personal and professional goals), Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success. Responsibilities - Prepare relevant, insightful, and engaging instructional materials and utilize existing course materials that support learning by CTU's student population. - Provide instruction in assigned courses (including applicable laboratory or work that is integral to the courses) that aligns with CTU's curricula and outcomes, instructional modalities, course technologies, and faculty expectations. - Engage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism. - Relate professional/industry experience to CTU's Professional Learning Model by the continuation of professional/technical skills development, introduction of professional/industry perspectives into courses, and active awareness of professional/industry trends and opportunities. - Maintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, CTU e-mail, and other appropriate means of communication. - Establish and maintain weekly office hours for student questions/support. - Assess student performance on course assignments and provide assignment feedback to support continued student growth and development. - Maintain appropriate documentation of student course activities. - Work with appropriate CTU teams (e.g., advising, academic/faculty leadership, and University staff) and leverage appropriate information to identify and support students who may be exceptional or challenged in their coursework and/or educational endeavors. - Refer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services). - Participate in and contribute to CTU's academic governance through attendance at appropriate University/college/program meetings and participation in the academic assessment and institutional effectiveness process (including completion of appropriate surveys and participation in continuous improvement initiatives). - Successfully complete required new faculty certification training, course-specific technology/pedagogical training, annual ethics and information technology policy training, and annual faculty development requirements. - Provide periodic required documentation of ongoing and updated licensures, certifications, immunizations (as appropriate to the specific college/program), scholarship, and academic/professional experience (e.g., CVs/resumes). - Work closely with Program Chair and/or Lead Faculty (as appropriate). - Perform other responsibilities and abide by the appropriate policies and procedures contained in CTU's Faculty Handbook. Qualifications - Strong organizational and time management skills, with proficiency in meeting deadlines and urgency in responding to questions/requests. - Strong interpersonal and oral presentation/written communication skills. - Proficiency in working effectively, cooperatively, and flexibly in a team environment. - Proficiency with standard office and mobile applications (i.e., word processing, presentations, e-mail, calendaring, teleconferencing, text messaging, personal computers, and smart phones/tablets). Requirements - Master's Degree in Psychology or subfield; or out of field graduate degree with 18+ graduate semester hours in field/subfield; or out of field graduate degree with 5+ years' documented professional experience in field/subfield. Preferred Requirements - Doctorate Degree in Psychology or subfield; 3+ years’ documented professional experience in field/subfield; and 3+ years’ documented experience teaching adult, non-traditional, and Active Duty Military/Veteran student learners in a higher education setting.

Role Description Consistent with and supportive of CTU's mission (to provide industry-relevant higher education to a diverse student population through innovative technology and experienced faculty, enabling the pursuit of personal and professional goals), Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success. - Prepare relevant, insightful, and engaging instructional materials and utilize existing course materials that support learning by CTU's student population. - Provide instruction in assigned courses (including applicable laboratory or work that is integral to the courses) that aligns with CTU's curricula and outcomes, instructional modalities, course technologies, and faculty expectations. - Engage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism. - Relate professional/industry experience to CTU's Professional Learning Model by the continuation of professional/technical skills development, introduction of professional/industry perspectives into courses, and active awareness of professional/industry trends and opportunities. - Maintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, CTU e-mail, and other appropriate means of communication. - Establish and maintain weekly office hours for student questions/support. - Assess student performance on course assignments and provide assignment feedback to support continued student growth and development. - Maintain appropriate documentation of student course activities. - Work with appropriate CTU teams (e.g., advising, academic/faculty leadership, and University staff) and leverage appropriate information to identify and support students who may be exceptional or challenged in their coursework and/or educational endeavors. - Refer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services). - Participate in and contribute to CTU's academic governance through attendance at appropriate University/college/program meetings and participation in the academic assessment and institutional effectiveness process (including completion of appropriate surveys and participation in continuous improvement initiatives). - Successfully complete required new faculty certification training, course-specific technology/pedagogical training, annual ethics and information technology policy training, and annual faculty development requirements. - Provide periodic required documentation of ongoing and updated licensures, certifications, immunizations (as appropriate to the specific college/program), scholarship, and academic/professional experience (e.g., CVs/resumes). - Work closely with Program Chair and/or Lead Faculty (as appropriate). - Perform other responsibilities and abide by the appropriate policies and procedures contained in CTU's Faculty Handbook. Qualifications - Strong organizational and time management skills, with proficiency in meeting deadlines and urgency in responding to questions/requests. - Strong interpersonal and oral presentation/written communication skills. - Proficiency in working effectively, cooperatively, and flexibly in a team environment. - Proficiency with standard office and mobile applications (i.e., word processing, presentations, e-mail, calendaring, teleconferencing, text messaging, personal computers, and smart phones/tablets). Requirements - Master's Degree in Psychology or subfield; or out of field graduate degree with 18+ graduate semester hours in field/subfield; or out of field graduate degree with 5+ years' documented professional experience in field/subfield. Preferred Requirements - Doctorate Degree in Psychology or subfield; 3+ years’ documented professional experience in field/subfield; and 3+ years’ documented experience teaching adult, non-traditional, and Active Duty Military/Veteran student learners in a higher education setting.

Role Description RRS Group is seeking a motivated and detail-oriented Systems Engineer, New College Grad – 2026, to join our technology team supporting infrastructure, cloud platforms, and emerging AI-driven operational initiatives. This role offers an excellent opportunity for recent graduates to gain hands-on experience with enterprise systems, cloud technologies, automation, and data-driven infrastructure management in a fast-paced real estate, architecture, and property management environment. The ideal candidate is passionate about technology, eager to solve complex technical problems, and excited to work collaboratively across teams to support scalable and reliable business operations. Key Responsibilities - Assist in the setup, configuration, maintenance, and troubleshooting of server, storage, and GPU-based infrastructure environments - Support cloud infrastructure and services across platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) - Develop and maintain automation scripts and tools using languages such as Python, Shell scripting, Java, or JavaScript - Monitor system performance, availability, and operational health to ensure reliability and efficiency - Collaborate with internal teams to support infrastructure modernization and operational improvements - Participate in troubleshooting hardware, software, networking, and cloud-related issues - Assist with infrastructure documentation, reporting, and process improvement initiatives - Utilize data visualization and reporting tools such as Excel, Power BI, or Tableau to analyze operational metrics and support decision-making - Explore and support the integration of Generative AI tools and concepts into infrastructure management and operational workflows - Contribute to a collaborative team environment while demonstrating initiative, adaptability, and problem-solving capabilities - Support incident response procedures and escalation protocols to minimize system downtime and operational disruptions - Assist with security and compliance monitoring activities to ensure infrastructure environments meet organizational and regulatory standards - Participate in capacity planning and resource optimization initiatives to support scalable infrastructure growth - Contribute to the development and maintenance of technical knowledge bases and runbooks to support team efficiency and knowledge sharing - Support backup, disaster recovery, and business continuity procedures to protect critical infrastructure and data assets - Assist with network configuration, monitoring, and optimization activities to ensure reliable connectivity and performance across enterprise systems Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field - Graduation date between May 2025 and August 2026 - Less than 6 months of relevant full-time work experience - Basic understanding of computer systems, networking, and cloud computing concepts - Strong analytical, organizational, and problem-solving skills - Excellent written and verbal communication skills - Ability to work effectively both independently and in a team-oriented environment Requirements - Proficiency in one or more programming or scripting languages such as Python, Java, JavaScript, HTML, Perl, or Shell scripting - Familiarity with Linux/Unix operating systems and system administration concepts - Exposure to server and storage hardware platforms including Dell, HPE, Supermicro, and NVIDIA GPU systems - Knowledge of cloud computing technologies including AWS, Microsoft Azure, or Google Cloud Platform (GCP) - Familiarity with containerization, virtualization, or infrastructure automation tools is a plus - Experience with data visualization and reporting tools such as Microsoft Excel, Power BI, or Tableau - Interest in Generative AI technologies and their application within IT infrastructure and operational environments - Demonstrated leadership, collaboration, and adaptability in academic, internship, or project environments - Strong interpersonal skills with the ability to navigate ambiguity and manage competing priorities Benefits - Opportunities to learn and develop every day through a wide range of programs. - Internal digital platforms that promote self-learning. - Development programs according to Leadership skills. - Specialized training according to the role. - Learning experiences with internal and external providers. - Recognition programs for seniority, behavior, leadership, moments of life, among others. - Financial wellness programs that will help you reach your goals in all stages of life. - A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. - Family benefits such as WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

• Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases. • Profile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers. • Tune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance. • Develop highly optimized libraries for linear algebra, attention, and other ML primitives. • Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking. • Implement custom operators and fused kernels in PyTorch, JAX, or Triton. • Collaborate with ML engineers to identify performance bottlenecks in training and inference pipelines. • Develop benchmarks and regression tests to safeguard performance over time. • Evaluate new GPU architectures and feature sets, and advise on adoption strategy. • Contribute to compiler-level optimizations for tensor programs where appropriate, working at the boundary between ML frameworks and underlying accelerator codegen to unlock performance not reachable through framework-level tuning alone. • Optimize memory hierarchy usage across HBM, L2, shared memory, and registers. • Implement mixed-precision and quantized compute paths that maximize accelerator throughput while preserving numerical fidelity within bounds acceptable for the target workloads. • Document performance characteristics, design decisions, and tuning playbooks for internal teams. • Stay current with GPU architecture, CUDA evolution, and emerging accelerator technologies.