Okay, I've searched for Lead HPC Hardware Engineer roles in Dallas, TX within the technology industry, full-time positions, requiring 7+ years of experience, and offering vision insurance. I have found several positions for you.

Sure. Here's the analysis:

Job Analysis:

The Lead HPC Hardware Engineer role at G-Research is fundamentally about ensuring the seamless operation, expansion, and optimization of a large-scale high-performance computing (HPC) infrastructure, primarily composed of CPU and GPU nodes. This role demands technical mastery over server hardware architecture, including diagnostics, firmware management, automation tooling (like Ansible and Puppet), and open-source platforms such as OpenStack Ironic for bare-metal provisioning. The job requires not only maintaining uptime and efficiency but also strategically planning for capacity growth and hardware lifecycle improvements—critical to supporting fast-paced quantitative research and AI workloads. Cross-functional collaboration is essential as the engineer will work with infrastructure, security, and software teams to ensure a secure, scalable, and highly automated compute environment. Success in this role hinges on the ability to troubleshoot complex hardware issues under pressure, implement best practices for security and performance tuning, and lead continuous improvements by mentoring junior engineers. The underlying expectation is a proactive, autonomous leader with a deep technical toolkit who thrives in a dynamic, innovation-driven setting where compute power directly translates into business impact.

Company Analysis:

G-Research operates at the apex of quantitative finance technology, blending world-class research talent with cutting-edge HPC and AI capabilities to predict financial market movements. As a market leader in quantitative research, the company embodies a culture that highly values intellectual rigor, innovation, and collaboration. Its flexible, stimulating environment is designed to cultivate and reward breakthrough ideas, indicating a workplace that encourages initiative and continuous learning. This culture aligns well with the Lead HPC Hardware Engineer role's demand for technical leadership and cross-team cooperation. The Dallas facility, a new infrastructure hub, suggests G-Research is actively investing in expanding its technology footprint, offering this role strategic visibility and the opportunity to influence core infrastructure. Given the company’s pace and complexity, the role is not just about maintenance but about building a resilient, scalable platform integral to G-Research’s competitive advantage. Candidates should be prepared for a high-impact, intellectually challenging environment where their contributions directly enable sophisticated computational research.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you identified and resolved a critical hardware failure in a large-scale HPC environment under tight deadlines.
• Describe how you have implemented automation in bare-metal provisioning. What tools did you use and what challenges did you overcome?
• Can you share an experience mentoring junior engineers and how you fostered their growth within a dynamic engineering team?
• How do you approach capacity planning and performance tuning in a rapidly scaling HPC infrastructure?
• What is your experience with OpenStack Ironic, and how have you leveraged it to optimize hardware management?
• How would you troubleshoot a scenario where GPU nodes are underperforming despite appearing healthy from a monitoring standpoint?
• Explain how you would design and implement security hardening measures for the hardware layer in a cloud-like HPC environment.
• Imagine the compute workload unexpectedly doubles overnight. How do you prioritize tasks to scale the infrastructure efficiently without downtime?
• Our culture emphasizes collaboration between AI, infrastructure, and security teams. How would you handle a conflict between these groups when hardware decisions are at stake?
• Why are you interested in working at G-Research, and how do you see your skills contributing to our mission of quantitative financial research?
• How do you keep your technical knowledge current, especially with rapidly evolving HPC and automation technologies?
• Given our focus on delivering scalable and secure compute infrastructure, what would your 90-day plan look like if you joined as the Lead HPC Hardware Engineer?
• What motivates you most about working in a role that supports high-stakes quantitative modeling with huge computational demands?
• How do you balance immediate operational needs with longer-term infrastructure improvements in a high-pressure environment?
• Can you describe a situation where you successfully improved hardware lifecycle management processes to reduce failures and maintenance costs?