Nvidia ITE

Nvidia ITE

Principal Engineer, Applied Research - Accelerator Programming Model and Compiler

US, CA, Santa Clara · Principal

Sponsorship not specifiedDetected 6 days ago
C++AlgorithmsLinuxMachine LearningEmbedded SystemsRoboticsElectrical EngineeringResearchLeadershipCommunication

About the role

  • This role sits at the boundary between research and production systems software.
  • You will explore and innovate new 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.

Responsibilities

  • Define the next-generation PVA programming model for developers and AI coding agents, making it easier to build optimized algorithms for PVA.
  • Develop and actively improve the LLVM-based VPU compiler backend targeting VLIW/SIMD architecture.
  • We are building a team that will truly change the world and would love for you to join us.
  • The PVA is a power-efficient, deterministic VLIW/SIMD processor used across NVIDIA DRIVE, Jetson, and IGX platforms.
  • Experience building agent harnesses and orchestrating long-running, stateful, multi-agent workflows

Requirements

  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
  • 15+ years of experience building high-performance, low-level systems software, accelerator software, embedded software, or compiler/toolchain infrastructure.
  • Experience with compiler, debugger, linker, or toolchain development, particularly using LLVM.
  • Experience integrating compilers and developer tools with AI coding agents or agentic development harnesses.
  • Experience programming SIMD/VLIW processors.
  • Experience with Linux or QNX development environments.
  • Experience with CUDA, especially integrating accelerators into a CUDA-based heterogeneous compute pipeline.

Compensation

  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Benefits

  • 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.

Company info

  • Drive deep technical integrations with internal and external customers to improve adoption and shape PVA runtime API for real-world workloads.
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This listing is sourced directly from Nvidia ITE's careers page and normalized into a canonical job model.