C++​/Rust Systems Software Engineer - AI & HPC; W2​/Remote

Education:
PhD Candidates with relevant Research Experience are welcome to apply.

• Develop high-performance systems software using C++ and Rust.
• Strong expertise in Linux operating systems and systems programming.
• Experience with Linux kernels, device drivers, runtimes, and system services.
• Design and optimize software for AI and High-Performance Computing (HPC).
• Build infrastructure integrating GPUs, accelerators, networking, and storage.
• Strong knowledge of multithreading, concurrency, and memory management.
• Experience with performance tuning, debugging, and bottleneck analysis.
• Develop distributed services for large-scale computing environments.
• Work across kernel-level programming, operating systems, and application layers.
• Experience with GPU programming technologies such as CUDA, ROCm, SYCL, or OpenCL is a plus.
• Knowledge of compiler technologies, virtualization, and runtime environments.
• Experience with high-performance networking, RDMA, and Infini Band preferred.
• Familiarity with distributed systems and hyperscale data center infrastructure.
• Experience with high-performance storage and accelerator technologies.
• Understanding of AI training and inference infrastructure is an advantage.
• Ability to troubleshoot complex systems and optimize throughput and latency.
• Experience working with large, complex codebases.
• Collaborate with hardware, AI, platform, and infrastructure engineering teams.
• Participate in architecture discussions, design reviews, and performance analysis.
• Open-source contributions and strong systems engineering fundamentals preferred.
• Excellent problem-solving skills and ability to learn emerging technologies.