What are the responsibilities and job description for the Lead HPC Hardware Engineer position at Trenchant Employee Services Limited (G-Research)?
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a hybrid role based in our new Dallas infrastructure hub where we work on the latest technologies in a cutting-edge environment.
The role
As G-Research’s Lead HPC Hardware Engineer, you will play a critical role in managing, scaling and optimizing a large compute infrastructure, which is composed of numerous GPUs and CPU nodes.
In this role, you will work closely with Infrastructure Engineers, Data Centre Operations, AI Engineers, Security Experts and Software Engineers to deliver a robust compute platform that supports high-performance computing needs.
Your expertise will be pivotal in ensuring that our compute infrastructure operates efficiently, while also planning for its growth and maintenance.
Our approach is centred on automation, hardware optimisation and infrastructure best practices. You will help drive improvements, mentor junior engineers and ensure our infrastructure is both secure and scalable.
Key responsibilities of the role include:
- Designing, configuring, and manage a high-performance compute infrastructure
- Growing and optimizing our infrastructure to meet business demands
- Ensuring the efficient operation of the OpenStack-powered environment, with a primary focus on OpenStack Ironic
- Monitoring hardware performance, identifying areas for improvement and implementing solutions
- Developing and maintaining hardware management procedures to increase server uptime and minimise failures
- Performing diagnostics, tuning and capacity planning to ensure smooth scale-out
- Performing analysis of existing hardware lifecycle processes and providing recommendations for improvement and optimization
- Collaborating with various teams to integrate hardware improvements aligned to organizational goals
- Implementing best practices for security hardening of the platform and associated systems
- Mentoring junior engineers and fostering a culture of continuous learning and improvement
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Demonstrable experience managing large-scale HPC infrastructure
- Strong understanding of server hardware architecture, including processors, memory, storage, networking and power systems
- Deep understanding of bare-metal provisioning and infrastructure automation
- Proven ability to troubleshoot hardware issues, including diagnostics and repairs for both GPU and CPU nodes in production environments
- Experience with hardware monitoring, management tools and familiarity with hardware automation techniques and tools, such as Ansible, Puppet and Chef
- Knowledge of Redfish API, including iDRAC, iLO, BMC, IPMI
- Experience with hardware diagnostics, optimization, performance tuning and capacity planning
- Familiarity with thermal management and optimizing data centre layout for efficiency
- Knowledge of security best practices for hardware infrastructure
- Strong problem-solving skills with the ability to work under pressure in a fast-paced environment
- Excellent communication skills and the ability to work collaboratively with cross-functional teams
The following would be beneficial:
- Experience with large compute farms or hyperscale data centres
- Familiarity with high-performance networking, such as InfiniBand, Ethernet
- Knowledge of server configuration management and software deployment in HPC environments
- Understanding of Linux-based environments and proficiency in scripting languages such as Python, Bash or PowerShell for automation
- Experience with OpenStack or similar cloud platforms
- Experience with NVIDIA-SMI and debugging GPU-related issues
- Leadership experience including team management, mentoring and developing engineers
Why should you apply?
- Market-leading compensation plus annual discretionary bonus
- Lunch provided in the office (via GrubHub)
- Informal dress code and excellent work/life balance
- Excellent paid time off allowance of 25 days
- Sick days, military leave, and family and medical leave
- Generous 401(k) plan
- 16-weeks’ fully paid parental leave
- Medical and Prescription, Dental, and Vision insurance
- Life and Accidental Death & Dismemberment (AD&D) insurance
- Employee Assistance and Wellness programs
- Generous relocation allowance and support
- Great selection of office snacks, and hot and cold drinks
- On-site gym and car parking
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
