Senior Software Engineer with Java/Spring expertise at Gartner. Focused on building scalable microservices and cloud - native solutions using AWS.
About the role
- Senior C++ Software Engineer optimizing GPU performance for self-driving technology solutions. Analyzing and enhancing GPU-based algorithms for efficiency and design influence of compute platforms.
Responsibilities
- Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.
- Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.
- Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.
- Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.
Requirements
- BS in computer science or related field and 7+ years of experience.
- Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.
- Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.
- Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).
Benefits
- Paid time off (e.g. sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
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