Electrical Engineering & Computer Science

About Turing

• Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
• Turing helps customers by working with leading AI labs to advance frontier model capabilities and by building real-world AI systems.

Role Overview

• Seeking an expert in Electrical Engineering or Computer Science to lead a team of technical trainers.
• Responsible for developing realistic, terminal-based scientific and engineering tasks for an AI training and evaluation initiative.
• Oversee a pod of approximately 5–10 trainers.
• Review technical tasks for accuracy, reproducibility, and evaluation quality.
• Ensure tasks reflect authentic computer science, software systems, and electrical engineering workflows.
• Mentor trainers, maintain quality standards, and drive consistent delivery of challenging technical tasks.

Key Responsibilities

• Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery.
• Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests.
• Validate tasks involving:
• High-performance computing (HPC)
• Parallel computing
• Algorithms
• Distributed systems
• Compilers
• Operating systems
• Databases
• ML systems
• GPU computing
• Circuit design
• Signal processing
• Power systems
• Embedded systems
• Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful multi-step technical reasoning.
• Verify technical correctness across:
• Algorithm complexity
• Numerical accuracy
• Memory management
• Concurrency
• Circuit laws
• Power balance
• Signal processing
• Timing constraints
• System stability
• Validate compilers, simulation tools, software dependencies, computational environments, and build processes for reproducible results.
• Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues.
• Review automated graders to ensure they evaluate meaningful technical outputs such as functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior.
• Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and opportunities to bypass computation, simulations, or automated evaluations.
• Provide clear, actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
• Onboard trainers, allocate work, monitor quality and throughput, escalate blockers, and maintain technical documentation and best practices.

Requirements & Tech Stack

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Computer Science, Electrical Engineering, Computer Engineering, or a related discipline.
• Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL).
• 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
• Digital hardware design
• Strong understanding of:
• Algorithms
• Computational systems
• Numerical methods
• Software testing
• 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.

Offer Details

• Commitments Required: At least 4 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.
• Employment type: Contractor assignment (no medical/paid leave)
• Duration of contract: 4 weeks.

Nice to have

• 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.