Technical Lead – Electrical Engineering and Computer Science

Weekday (YC W21)

. Lead, mentor, and onboard a team of approximately 5–10 technical trainers .

Posted 10/27/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in Electrical Engineering and Computer Science, with proficiency in C/C++ and experience in Python and hardware description languages. Capable of leading technical teams, validating complex engineering tasks, and ensuring high-quality documentation and feedback.

Highest-signal resume keywords

Electrical Engineering ExpertiseC/C++ ProficiencyLinux Environment ProficiencyTechnical Team LeadershipAlgorithmic Correctness Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C/C++PythonRustJuliaFortranMATLAB/OctaveParallel ComputingAlgorithmsSoftware TestingCircuit Simulation

Soft Skills

MentoringWritten CommunicationTechnical Feedback

Tools & Technologies

LinuxMPIOpenMPCUDALLVM/GCCCMakeGDBValgrindDockerGit

Certifications & Qualifications

Ph.D.Postdoctoral Research Experience

Industry Keywords

HPCDistributed SystemsMachine LearningSignal ProcessingPower SystemsEmbedded SystemsScientific ComputingSystems EngineeringTechnical BenchmarksAI Training

Tech Stack

Tools & technologies

Distributed SystemsDockerLinuxPythonRustC++

About the role

Key responsibilities & impact

Lead, mentor, and onboard a team of approximately 5–10 technical trainers
Allocate assignments, monitor productivity and quality, resolve blockers, and ensure timely delivery of technical tasks
Review tasks end to end, including problem statements, codebases, circuit netlists, HDLs, datasets, computational environments, reference solutions, and automated tests
Validate scientific and engineering tasks across HPC, parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems
Verify algorithmic correctness, computational complexity, numerical precision, memory management, concurrency behavior, circuit laws, power balance, signal processing accuracy, timing constraints, and system stability
Validate compilers, simulation tools, software dependencies, build processes, and computational environments for consistent, reproducible results
Review automated tests and graders for meaningful technical outcomes, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior
Identify nondeterministic tests, race conditions, hardware-dependent thresholds, simulation convergence issues, incorrect tolerances, flawed assumptions, and bypass opportunities
Provide actionable feedback, track revisions, and ensure issues are resolved before final approval
Establish and maintain technical guidelines, review standards, documentation, and best practices
Improve task development and evaluation processes and contribute to reliable AI training and assessment benchmarks

Requirements

What you’ll need

Minimum experience: 7+ years
Strong expertise in Electrical Engineering and Computer Science
Proficiency in C/C++ and experience with Python, Rust, Julia, Fortran, MATLAB/Octave, or hardware description languages
Advanced proficiency in Linux environments, command-line tools, and terminal-based development workflows
Hands-on expertise in at least one major technical domain, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design
Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering fundamentals
Experience reviewing complex codebases, engineering simulations, technical implementations, or research outputs
Ability to evaluate computational performance, algorithmic correctness, numerical accuracy, concurrency, and system reliability
Experience leading, mentoring, or reviewing the work of small technical teams
Excellent written communication skills and ability to provide clear technical feedback and maintain quality documentation
Good-to-have: experience with MPI, OpenMP, CUDA, LLVM/GCC, CMake, GDB, Valgrind, performance profilers, sanitizers, Slurm, electrical engineering and hardware simulation tools, Docker, Git, CI/CD, pytest, technical benchmarks, programming challenges, simulation-based evaluations, automated grading systems, AI coding agents, open-source development, or relevant industry domains
Ph.D., postdoctoral research experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline
Demonstrated experience leading technical teams and reviewing complex engineering or software deliverables
Strong foundation in scientific computing, systems engineering, electrical engineering principles, or advanced software development