Pod Lead - Electrical Engineering & CS at Turing

Pod Lead - Electrical Engineering & Computer Science | Turing | Remote | 4-week contractor assignment

Turing, an AI company working with leading AI labs to advance frontier model capabilities, is looking for an experienced Electrical Engineering or Computer Science expert to lead a pod of roughly 5-10 technical trainers building realistic, terminal-based scientific and engineering tasks for a frontier AI training and evaluation initiative.

What you'll do

• Lead and mentor a pod of trainers, ensuring quality, productivity, and timely delivery of technical tasks.
• Review tasks end to end: problem statements, codebases, circuit netlists, HDL, datasets, computational environments, reference solutions, and automated tests.
• Validate tasks involving high-performance computing, parallel computing, algorithms, distributed systems, compilers, operating systems, databases, ML systems, GPU computing, circuit design, signal processing, power systems, and embedded systems.
• Verify technical correctness across areas like algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, and system stability.
• Validate compilers, simulation tools, dependencies, and build processes for reproducible results; spot unreliable tests caused by nondeterministic behavior, race conditions, or simulation convergence issues.
• Review automated graders for meaningful evaluation, identify flawed assumptions and incorrect tolerances, and give clear, actionable feedback until quality issues are resolved.
• Onboard trainers, allocate work, monitor throughput, escalate blockers, and maintain documentation and best practices.

What we're looking for

• 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 HDL, with advanced Linux and terminal proficiency.
• Hands-on expertise in at least one of: parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design.
• Experience reviewing complex codebases, engineering simulations, or research outputs, and mentoring or leading small technical teams.
• Excellent written communication for precise technical feedback.

Nice to have

• HPC and systems tools such as MPI, OpenMP, CUDA, LLVM/GCC, CMake, gdb, Valgrind, perf, sanitizers, or Slurm.
• Simulation tools such as ngspice, Xyce, Icarus Verilog, Verilator, GHDL, Yosys, pandapower, openEMS, GNU Radio, or QEMU.
• Docker, Git, CI/CD pipelines, and automated testing frameworks such as pytest.
• Experience building benchmarks, automated grading systems, or evaluating AI coding agents or LLM-generated solutions.
• Open-source maintainer or review experience; industry background in semiconductors, HPC, power utilities, telecom, or embedded systems.

Offer details

• Commitment: at least 4 hours per day, minimum 40 hours per week, with 4 hours of overlap with PST.
• Contractor assignment (no medical or paid leave).
• Duration: 4 weeks, with an expected start date next week.