Pod lead - Electrical Engineering & Computer Science (Terminal Bench Science)

Requisitos

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline
• Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL), with advanced Linux and terminal proficiency
• Hands-on expertise in at least one major area: parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware de.
• Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles
• Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs
• Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and reliability of technical results
• Strong analytical judgment with the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions
• Experience mentoring, reviewing, or leading small technical teams
• Excellent written communication skills for providing precise technical feedback and documenting quality standards

Desejáveis

• Experience with HPC and systems development tools such as MPI, OpenMP, CUDA, LLVM/GCC, CMake, gdb, Valgrind, perf, sanitizers, or Slurm
• Familiarity with electrical engineering and hardware simulation tools such as ngspice, Xyce, Icarus Verilog, Verilator, GHDL, Yosys, pandapower, PyPSA, MATPOWER, openEMS, GNU Radio, or QEMU
• Familiarity with Docker, Git, CI/CD pipelines, and automated testing frameworks such as pytest
• Experience developing technical benchmarks, programming challenges, simulation-based evaluations, or automated grading systems
• Experience developing or evaluating AI coding agents, terminal-based agents, or LLM-generated technical solutions
• Open-source development or maintainer experience, particularly reviewing and validating external contributions
• Industry experience in semiconductors, high-performance computing, power utilities, telecommunications, or embedded systems
• Prior experience in AI training, technical quality control, benchmark development, or evaluation programs