Technical Lead – Electrical Engineering and Computer Science

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔋 Electrical Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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

• 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