GR - Thunder Compute - C++ Developer
Systems Software Engineer (C++)
Seeking a highly technical systems 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++ 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 but will also consider someone without.
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