Senior Applied Research Engineer, Accelerator Algorithms
Core
Drive applied research and architecture for algorithms on NVIDIA's Programmable Vision Accelerator (PVA) to optimize real-world autonomous vehicle and physical AI workloads.
Role type
Senior Applied Research Engineer (Accelerator Algorithms)
Builds
Optimized algorithms for PVA, hardware architecture requirements, compilers, SDKs, and profiling tools.
Domain
Accelerated computing, autonomous vehicles, robotics, physical AI
Deliverable
production ML models
Required skills
Workload characterization, instruction-level parallelism, memory-aware scheduling, vectorized execution, HW/SW co-design, performance modeling, C++, CUDA, Python
Preferred skills
ROS/ROS2, AV/robotics middleware, sensor processing frameworks, safety-conscious development (ISO 26262, IEC 61508)
Responsibilities
Research and characterize real-world AV and physical AI workloads; Develop and optimize PVA algorithms using instruction-level parallelism and memory-aware scheduling; Translate workload insights into requirements for hardware architecture and software; Build prototypes, benchmarks, and performance models; Partner with teams to integrate PVA-accelerated algorithms into final products.
Seniority
Senior, hands-on IC
