As the world’s leading accelerated computing company, we are paving the way with innovations in self-driving cars, robotics, machine learning, super-computing, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a Sr Applied Research Engineer, Accelerator Programming Model and Compiler to work on the next generation programming model for NVIDIA’s Programmable Vision Accelerator (PVA) built for developers and AI coding agents. The PVA is a power-efficient, deterministic VLIW/SIMD processor used across NVIDIA DRIVE, Jetson, and IGX platforms.
This role sits at the boundary between research and production systems software. You will explore and innovate recent methods for expressing PVA workloads through higher-level declarative abstractions, domain-specific languages, and compiler/runtime interfaces. These interfaces will provide well-defined targets for both developer-written and AI-generated code.
The successful candidate will be comfortable moving across levels of abstraction: shaping public APIs, debugging code generation deep in an LLVM-based backend, and researching higher-level programming models. They will also integrate the compiler with agentic coding harnesses, evaluate AI-generated code for correctness and performance, and improve the compiler-feedback loops to help agents produce optimized implementations.
What You Will Be Doing
Work on the next-generation PVA programming model for developers and AI coding agents, making it easier to build optimized algorithms for PVA.
Enable AI agent–driven PVA development by abstracting hardware-specific details into agent accessible, declarative interfaces, supported by improvements to compile time, emulator speed, and diagnostic tooling.
Help define the architecture, and feature set of the PVA SDK, runtime APIs and programming model.
Define benchmarks and evaluations f
📌 Senior Applied Research Engineer (Bengaluru)
🏢 nvidia ai
📍 Bengaluru
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