Staff C++ Engineer

Glocomms; San Francisco (CA); On-site; USD 190,000 - 270,000; Full time

Job summary

Glocomms is seeking a highly technical Staff C++ Engineer to develop performance-critical infrastructure and software for large-scale GPU environments. You will own production systems, optimize low-level code, and influence the technical direction of the platform.

The role demands deep knowledge of C++, CUDA, OS internals, and networking, with hands-on debugging, profiling, and performance tuning in fast-paced settings.

Qualifications

• Strong expertise in C++ or CUDA with a proven track record building complex systems software.
• Deep understanding of operating systems, networking, compilers, concurrency, and computer architecture.
• Experience optimizing performance in GPU, HPC, distributed systems, cloud infrastructure, or latency-sensitive environments.
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field preferred.

Responsibilities

• Design, build, and optimize high-performance systems software using modern C++.
• Improve efficiency, scalability, and reliability across GPU-accelerated infrastructure and distributed computing environments.
• Investigate and resolve complex performance bottlenecks involving networking, compute, memory, and hardware interactions.
• Develop low-level software components supporting high-throughput, latency-sensitive workloads.
• Conduct benchmarking, profiling, and systems analysis to drive performance improvements.
• Debug production issues across operating systems, networking stacks, and hardware interfaces.
• Partner with engineering leadership to evaluate new technologies, architectures, and optimization strategies.
• Take ownership of critical infrastructure components and contribute to long-term platform architecture.
• Mentor team members and help establish engineering best practices as the organization grows.

Skills

C++

CUDA

Operating systems

Networking

Compilers

Concurrency

Linux

Education

Bachelor's degree in Computer Science or Computer Engineering

Job description

Seeking a highly technical Staff C++ Engineer to develop performance-critical infrastructure and software focused on maximizing compute efficiency, networking throughput, and resource utilization in large-scale GPU environments. This role combines low-level systems programming, optimization, debugging, and research, with direct ownership of production systems and significant influence on future technical direction.

Responsibilities

• Design, build, and optimize high-performance systems software using modern C++.
• Improve efficiency, scalability, and reliability across GPU-accelerated infrastructure and distributed computing environments.
• Investigate and resolve complex performance bottlenecks involving networking, compute, memory, and hardware interactions.
• Develop low-level software components supporting high-throughput, latency-sensitive workloads.
• Conduct benchmarking, profiling, and systems analysis to drive performance improvements.
• Debug production issues across operating systems, networking stacks, and hardware interfaces.
• Partner with engineering leadership to evaluate new technologies, architectures, and optimization strategies.
• Take ownership of critical infrastructure components and contribute to long-term platform architecture.
• Mentor team members and help establish engineering best practices as the organization grows.

Qualifications

• Strong expertise in C++ or CUDA with a proven track record building complex systems software.
• Deep understanding of operating systems, networking, compilers, concurrency, and computer architecture.
• Experience optimizing performance in GPU, HPC, distributed systems, cloud infrastructure, or latency-sensitive environments.
• Strong debugging, profiling, and performance-tuning capabilities across software and hardware layers.
• Familiarity with modern Linux environments and low-level systems development.
• Demonstrated ability to work independently, take ownership, and deliver results in fast-paced environments.
• Excellent communication skills and ability to operate effectively under pressure.
• Experience in quantitative trading, hardware acceleration, distributed computing, systems research, or infrastructure engineering is preferred.
• Background working with GPUs, networking hardware, high-performance computing, or large-scale cloud platforms is highly desirable.
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field preferred.