Browse 12 exciting jobs hiring in Compiler now. Check out companies hiring such as Intel, LinkedIn, K2 Space in New York, Los Angeles, Atlanta.
Lead development of Intel's neuromorphic AI compiler and runtime to enable production-grade, high-performance physical AI applications across hardware and software ecosystems.
Lead system- and hardware-focused optimizations for LinkedIn’s AI inference platform, improving GPU utilization, compiler workflows, and low-latency model serving at scale.
Lead full-chip and block-level physical implementation of advanced SoCs that power K2's high-power satellites, from synthesis through GDSII and sign-off.
Work on advanced graph neural network models and 3D reconstruction pipelines to power AI-first generative design and BIM generation at an early-stage startup focused on transforming construction design and estimation.
Join ADI's Embedded AI Tooling Team to build end-to-end model deployment, optimization, and compilation tooling that unlocks AI on heterogeneous embedded SoCs.
NVIDIA is hiring a Verification Engineer (Compilers/C++) to design and automate modern C++ compiler testsuites and drive quality improvements using automation and LLM-assisted testing.
Marvell is hiring a Senior Staff Analog Layout SRAM Engineer in Burlington, VT to lead SRAM memory layout and sign-off verification efforts and drive automation and quality across custom memory designs.
At Forge, a Series A startup backed by Founders Fund and OpenAI, the Platform Engineer will own and build core parts of a novel programming stack and runtime powering mission-critical enterprise automation.
Lead NVIDIA’s HPC Compiler team to advance high-performance compiler technology and GPU code generation across Python, C++, and Fortran.
A 10–12 week paid internship in Infleqtion’s Quantum Software team focused on quantum compilation, software engineering, and applied research, based primarily in Chicago, IL.
Work as an Inference Engine Engineer at FriendliAI to design high-performance GPU kernels and core runtime components that power latency-critical, production-scale generative AI systems.
Lead the architecture and implementation of an AI-driven compiler toolchain that translates modern neural networks into highly optimized executables for Renesas SoCs.
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