Explore a career at the forefront of technological innovation with HPC & AI System Test Engineering Manager jobs. This unique and critical leadership role sits at the intersection of high-performance computing (HPC) and artificial intelligence, responsible for ensuring the reliability, performance, and quality of the complex systems that power the world's most demanding computational workloads. Professionals in this field lead the charge in validating the integrated hardware and software platforms that enable breakthroughs in scientific research, data analytics, and machine learning. An HPC & AI System Test Engineering Manager typically provides direct and ongoing leadership for a team of systems test engineers. This team is tasked with designing, developing, and executing comprehensive testing strategies for new and updated HPC and AI products and solutions. Their work encompasses the entire system architecture, including server platforms, high-speed networking, parallel storage solutions, and the complex software stack that orchestrates everything. A core responsibility is managing the entire testing lifecycle, from initial planning and protocol development to final documentation, ensuring that all deliverables meet stringent quality standards. These managers are also responsible for the operational aspects of their team, including managing headcount, project schedules, budgets, and costs for multiple concurrent projects. They act as a central communication hub, reporting project status, escalating critical issues, and collaborating closely with development partners, program managers, and internal stakeholders to develop reliable, cost-effective, and high-quality solutions. Beyond technical oversight, a significant part of the role involves people leadership and strategic partnership. Managers in this field provide essential people-care management, including hiring, mentoring, coaching, and supporting the career development of their team members. They proactively identify and implement opportunities for process improvement and cost reduction within the testing lifecycle. Furthermore, they often manage relationships with outsourced partners and suppliers, ensuring that all external contributions align with the project's quality and timeline objectives. Typical skills and requirements for these high-level jobs include a first-level or advanced university degree in a field like computer engineering, computer science, or a related discipline. Candidates generally possess 5 to 10 or more years of related work experience, including substantial people management experience. Strong leadership capabilities are paramount, including skills in team building, conflict resolution, and coaching. Advanced project management skills are essential for effective time and risk management, resource prioritization, and project structuring. A deep technical foundation is required, including an excellent understanding of testing methodologies, hardware and software interactions, and the overall architecture of integrated systems. This must be paired with strong business acumen and exceptional verbal and written communication skills for negotiation, presentation, and influencing stakeholders. For those seeking a challenging career leading teams that validate the next generation of supercomputing and AI infrastructure, HPC & AI System Test Engineering Manager jobs offer a rewarding path at the cutting edge of technology.
