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.

Cryptographic Systems Expert Remote Full Time Department: Intelligence Community Job Description: Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. We are seeking a highly skilled and knowledgeable Post-Quantum Cryptography (PQC) Evaluation Expert to join our team. The successful candidate will be responsible for creating and evaluating question-answer pairs to assess the understanding and application of post-quantum cryptography concepts by test subjects. This role requires a deep understanding of cryptographic principles, particularly in the context of quantum computing, and the ability to craft scenarios that test the test subject's ability to provide accurate and forward-thinking cryptographic advice. This is a remote role. RESPONSIBILITIES: - Develop comprehensive question and answer pairs that assess the test subject’s understanding of post-quantum cryptography concepts. - Evaluate the quantum resistance of classical and post-quantum algorithms presented by the test subject. - Suggest appropriate quantum-safe alternatives for various cryptographic scenarios. - Analyze and explain the implications of quantum computing on current cryptographic standards. - Assess the test subject’s ability to reason about future attack scenarios and the trade-offs involved in PQC implementations. QUALIFICATIONS: - Advanced degree in Mathematics, Cryptography, Computer Science or a related field. - 5+ years in applied cryptography with a specific focus on the theoretical vulnerabilities of public-key infrastructure in the context of quantum computing. - Knowledge of cryptographic libraries and tools such as OpenSSL, Libsodium, or similar. - Familiarity with programming languages commonly used in cryptography, such as Python, C/C++, or Java. - Understanding of quantum computing principles and their impact on cryptography. PREFERRED QUALIFICATIONS: - Extensive knowledge of cryptographic principles, with a focus on post-quantum cryptography. - Familiarity with quantum-resistant algorithms such as lattice-based, hash-based, code-based, and multivariate polynomial cryptography. - Experience with cryptographic standards and protocols, including NIST's post-quantum cryptography standardization efforts. - Ability to reason about and articulate the trade-offs and implications of different cryptographic approaches in a post-quantum world. - Strong analytical and problem-solving skills, with the ability to evaluate complex cryptographic scenarios. - Excellent written and verbal communication skills, with the ability to clearly explain technical concepts. - Familiarity with cryptographic software and tools used in the evaluation and implementation of PQC. - Participation in cryptographic research or contributions to academic publications in the field of post-quantum cryptography. TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States. “TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws.”

Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. HPE Networking is a leading provider of AI driven next-generation networking solutions. We advance the way people live and work. We bring together curious minds to create breakthrough technology solutions, helping our customers make their mark on the world. HPE Networking is redefining the Edge and creating new customer experiences by building intelligent spaces and digital workspaces - leading next-generation network access solutions for the mobile enterprise. We are focused on campus, branch, mobility and the IoT to transform businesses with the combined power of compute, context, control, analytics, automation and secure connectivity. Sounds like you? Then we have the right opportunity—we are looking for a Pre-Sales System Engineer to join us in the OC/LA Area! A HPE Networking Pre-Sales Systems Engineer primarily provides pre-sales technical support for the development and implementation of complex solutions created to meet and exceed our customer’s business requirements. Responsibilities include: - Managing pre-sales technical/functional support to existing and prospective clients. - Ensuring customer satisfaction with the technical sales process and solution deployment. - Presenting and articulating the capabilities and values of a HPE Solution. - Working with HPE's Territory Managers to qualify opportunities and convert leads into successful engagements. - Combining excellent sales support and consultative skills with an expert understanding of advanced and emerging technologies. - Consulting with assigned Territory Manager to provide a comprehensive pitch to prospective clients. - Proactively supporting an opportunity pipeline and driving through the sales process to closure. - Gathering client data required to effectively tailor a solution. - Understanding various ways a solution may be delivered and anticipating what will work best for a given client. In a typical day as an HPE Networking Pre-Sales Systems Engineer, you would support your customers by: - Creating and defining a Technological Roadmap on pre-assigned clients. - Creating and documenting technology solutions and proposals designed to meet customer business requirements. - Implementing and supporting customer Proof of Concept engagements. - Maintaining knowledge of competitive solution offerings. - Interfacing with both internal and external/industry experts. - Participating in proposal development and supporting technical aspects related to deal closure. - Understanding the HPE channel and creating relationships with HPE partners. Qualifications - Bachelor’s Degree in engineering or related field OR significant experience in networking technical and pre-sales activities roles. - Minimum of 4+ years of technical professional, pre-sales/post-sales work experience. - Extensive experience in Networking including routing, switching, Wi-Fi, security, SASE and Network Management platforms. - Specific Networking certifications (HPE, Aruba, Juniper, Cisco, etc). - Experience in Network Access Security including HPE Aruba Clearpass, Juniper Access Assurance, Cisco ISE, Forescout etc. - Experience in creating solution sales offerings spanning multiple product and service portfolios. - Effective, articulate communicator with strong customer-facing skills. - Desire to work within a team in a competitive market. Requirements - Accountability - Active Learning - Active Listening - Assertiveness - Building Rapport - Coaching - Complex Sales - Creativity - Critical Thinking - Cross-Functional Teamwork - Customer Experience Strategy - Empathy - Financial Acumen - Growth Mindset - Identifying Sales Opportunities - Industry Knowledge - Intellectual Curiosity - Long Term Planning - Managing Ambiguity Benefits - Health & Wellbeing: Comprehensive suite of benefits supporting physical, financial and emotional wellbeing. - Personal & Professional Development: Programs catered to helping you reach career goals. - Unconditional Inclusion: Celebrating individual uniqueness and providing flexibility to manage work and personal needs.