Member of Technical Staff - Systems (Rust)

Requirements

• Contributions to notable Rust open-source projects.
• Experience with robotics, real-time systems, or embedded platforms.
• Background in competitive programming or algorithmic problem-solving.

Additional Information

About Dimensional Dimensional is building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act across diverse real-world environments and embodiments. Dimensional's mission is to make physical intelligence programmable, scalable, and accessible -- accelerating the development of generalist robots that can adapt, learn, and perform reliably in the real world. Our platform sits between robot hardware and AI models, providing a modular, composable architecture for training and deploying robotic intelligence at scale. By abstracting hardware differences and standardizing core capabilities-such as perception, spatial understanding, decision-making, and control-Dimensional allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms. About This Role We're looking for an engineer with deep Rust expertise and strong algorithmic fundamentals to work on performance-critical systems. You'll build the low-level infrastructure that powers real-time robotic perception, planning, and control. Core Responsibilities Design and implement high-performance systems components in Rust. Build and optimize data structures, algorithms, and computational pipelines for real-time robotics workloads. Own performance-critical paths across the platform, from sensor processing to motion planning. Contribute to the design of safe, concurrent systems that run reliably on embedded and edge hardware. Collaborate with robotics and infrastructure teams to deliver integrated, production-quality solutions. What We Look For Strong Rust experience in production environments. Deep understanding of algorithms, data structures, and computational complexity. Experience with systems programming -- memory management, concurrency, real-time constraints. Ability to reason about performance at the hardware level (cache behavior, SIMD, memory layout). Track record of shipping reliable, well-tested systems code.

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Company Intel

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