Engineering Expert

Job not on LinkedIn

🔥 8 minutes ago

🇮🇳 India – Remote

💵 $500 / week

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🖥 Software Engineer

👻 Ghost score 20%

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

• Design, develop, and validate complex engineering simulation problems for training and evaluating advanced AI models and coding agents • Develop realistic, multi-constraint problems across Electrical, Mechanical, and Aerospace Engineering • Create measurable objectives, validated reference solutions, and objectively verifiable automated grading mechanisms • Build, configure, execute, and validate simulation-based problem environments using open-source engineering tools • Develop Python scripts, custom test benches, and utilities to automate simulations and verify results • Ensure simulation outputs satisfy physical plausibility, dimensional consistency, boundary conditions, convergence requirements, and domain-specific constraints • Troubleshoot simulation failures, numerical instability, dependency issues, and computational errors • Evaluate LLMs and coding agents across repeated engineering problem-solving trials • Analyze execution trajectories, tool interactions, simulator feedback, and intermediate outputs to identify reasoning and tool-use failures • Calibrate task difficulty and refine benchmarks using empirical model performance and evaluation results • Collaborate with AI researchers, technical leads, and subject-matter experts to integrate validated benchmarks into AI evaluation workflows

🎯 Requirements

• Master's degree or PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a closely related technical discipline • At least 10 years of practical engineering design experience • Strong Python programming and scripting skills • Hands-on proficiency with at least one relevant open-source engineering simulation or design tool, such as ngspice, PySpice, OpenFOAM, FEniCSx, CalculiX, python-control, OpenModelica, CadQuery, build123d, Cantera, or Gmsh • Experience developing, executing, debugging, and validating simulation-based engineering workflows • Familiarity with modern LLMs, AI coding agents, and AI evaluation methodologies • Ability to analyze model execution logs and identify reasoning, planning, and tool-use failures • Strong understanding of physical constraints, units, boundary conditions, numerical convergence, and engineering validation • Excellent analytical, problem-solving, and technical documentation skills • Ability to work independently and deliver technically accurate results within defined timelines • Approximately 40 hours per week availability • At least 4 hours of daily overlap with US Pacific Time • Weekend on-call availability • Personal desktop or laptop • Stable, high-speed internet connection

🏖️ Benefits

• Remote work arrangement • Short-term contractor engagement of up to 24 weeks • Part-time engagement may be acceptable where agreed • Weekend on-call availability • Flexible work location among approved eligible locations • Opportunity to work on AI model training and evaluation benchmarks