Systems Engineer (GPU Virtualisation) - Systems Integrator

Hamilton Barnes Associates Limited; San Francisco (CA); On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Base salary $170K–$250K

Early-stage equity

On-site in San Francisco

Job summary

Hamilton Barnes Associates Limited is seeking an engineer to work directly with the CTO on GPU virtualization challenges in an early-stage infrastructure company. You will contribute to a production platform, collaborating with product teams to drive growth without legacy constraints.

You will own production systems from day one, tackling low-level networking, GPU drivers, and distributed systems, with opportunities to impact cloud customers and overall performance.

Qualifications

• Top CS programme graduate with 3.7+ GPA and strong production experience.
• Proven track record in low-level systems, production debugging, and performance tuning.
• No visa sponsorship available for this role.

Responsibilities

• Develop core GPU virtualisation software and improve efficiency for cloud customers.
• Optimize performance at the lowest levels of the stack with significant impact.
• Own production systems from day one and debug complex issues in networking and GPU drivers.
• Research oversubscription, checkpointing, and distributed GPU cluster management.
• Collaborate directly with the CTO on cutting-edge system challenges.

Skills

C++

Rust

Low-level systems

Production debugging

Networking

Education

CS degree with 3.7+ GPA

Tools

GPU drivers

Virtualisation

Job description

Keen to join a company that champions growth and development?

Join an early-stage infrastructure company operating in the AI space, backed by a leading accelerator and having raised $17.5M. The organisation has achieved over $500K in revenue within six months and is scaling rapidly with a small, high-performing team.

This company is looking for an engineer to work directly with the CTO on complex GPU virtualisation challenges. The role offers hands-on involvement with a production platform, providing the opportunity to work closely with the product and contribute to its continued growth without legacy system constraints.

Responsibilities:

• You will be working on the core GPU virtualisation software, making GPUs significantly more efficient for cloud customers
• You will be doing performance optimisation work at the lowest levels of the stack, where the gains are hardest to find and most impactful to the business
• You will be owning production systems from day one and debugging complex issues across low-level networking, GPU drivers, and distributed systems
• You will be researching and implementing approaches to oversubscription, checkpointing, and distributed GPU cluster management
• You will be working directly with the CTO on cutting-edge systems problems that most engineering teams never encounter

Skills / Must Have:

• Top 0.1% C++ ability, elite Rust considered for the right candidate
• Strong low-level systems background in production, not just academic or side-project work
• Top CS programme graduate with a 3.7+ GPA
• Experience with performance optimisation, low-level networking, or systems debugging under real production conditions
• No visa sponsorship available

Desirable Skills:

• Background from a trading firm or high-performance systems environment, Citadel, Jane Street, HRT, or equivalent
• Experience with GPU drivers, virtualisation, or distributed systems at the hardware-software boundary

Benefits:

• Base salary $170K to $250K, flexible to $300K for exceptional candidates
• Meaningful early-stage equity
• On-site in San Francisco

Salary:

• $170,000 to $250,000 base, flexible upward for the right person