New Grads Computer/Electrical Engineer — Physical AI Compute - FPGA EMBEDDED
Core
Building the software foundation, tools, and performance models for a new polymorphic compute platform (X²PU) designed for real-time Physical AI workloads.
Role type
Entry-level Computer Engineer (Physical AI Compute & Architecture)
Builds
Architectural simulators, performance-analysis tools, compiler/runtime/SDK infrastructure, and software kernels for a new compute architecture.
Domain
Semiconductor hardware architecture, compilers, and Physical AI systems
Required skills
C/C++, Python, computer architecture fundamentals, systems programming, data structures, algorithms, Linux development, performance modeling
Preferred skills
Compiler infrastructure (LLVM, MLIR, TVM), AI frameworks (PyTorch, TensorFlow), GPU/DSP/accelerator optimization, CUDA/OpenCL/SYCL, numerical computing
Technologies
X²PU, C/C++, Python, Linux, Git, LLVM, MLIR, PyTorch, TensorFlow, CUDA, OpenCL, SIMD
Responsibilities
Build architectural models and simulators for the X²PU architecture; Contribute to compiler, runtime, and SDK infrastructure; Map Physical AI workloads onto the new architecture; Develop and optimize software kernels and libraries; Work on tools to evaluate latency, throughput, and power tradeoffs; Prototype Physical AI applications in sensing, autonomy, or edge AI; Collaborate with architects and chip designers on software-hardware integration.
Seniority
Entry-level, new graduate
