NVIDIA
US - California - Santa Clara
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Optimize context-fusion software that combines perception, map, and localization data, improving architecture and data flows to meet automotive CPU, memory, and latency constraints. Profile pipelines, implement and measure performance improvements, develop benchmarks and regression tests, and collaborate across engineering teams while maintaining correctness and reliability.
Requirements: Requires a PhD with 4+ years, an MS with 6+ years, or a BS or equivalent experience with 8+ years of relevant experience, along with strong modern C++ skills. Candidates should have experience designing, profiling, and optimizing performance-sensitive software, understand core algorithms and concurrency concepts, and be able to validate improvements while preserving correctness and reliability.
Key Skills: Modern C++, Software Optimization, Performance Profiling, CPU Optimization, Memory Optimization, Latency Optimization, Data Structures, Algorithms, Memory Management, Concurrency, Benchmarking, Real-Time Software, Context Fusion, Automotive Platforms, Multithreading, SIMD Vectorization
Benefits: Equity, Benefits
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