Our client CodeByte is looking for AI Engineer Design Specialist in Lahore.
Role Overview
We are looking for experienced engineers with deep design expertise to create challenging simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic engineering design tasks where a model must make genuine trade-offs size components and iterate against physics-based simulators to meet competing specifications.
Key Responsibilities
- Design and validate simulation-based engineering problems that require true design reasoning with clear constraints and optimization goals.
- Deliver complete problem sets including reference solutions near-miss variants edge cases and documentation ensure appropriate difficulty with multiple failure modes and collaborate with researchers to refine problems based on model performance.
Domain Tracks
You should have deep design expertise in at least one of the following; expertise spanning multiple tracks is a strong plus.
- Electrical & Computer Engineering analog/mixed-signal IC design power electronics RF/microwave digital system design FPGA/ASIC embedded systems.
- Mechanical Engineering structural/thermal/fluid system design mechanism design HVAC vibration/dynamics manufacturing process design.
- Chemical Engineering reactor design process design and optimization separation systems transport phenomena combustion and thermochemistry.
- Control Systems classical and modern control design state estimation nonlinear and robust control system identification.
- Materials / Nano materials selection under constraints microstructure-property design thin-film and nanoscale device design.
- Engineering Physics / Optics optical system design photonic device design laser systems wave propagation and interference.
- Aerospace Engineering aerodynamic design propulsion sizing orbital mechanics flight dynamics and stability structural design for aerospace loads.
- Civil / Structural Engineering structural member and connection design foundation design seismic/wind loading geotechnical design.
- Nuclear / Energy reactor core design shielding thermal-hydraulics renewable energy system sizing grid-scale storage design.
- Systems Engineering system architecture trade studies requirements decomposition interface design multi-subsystem integration.
- Robotics kinematic/dynamic design motion planning actuator and sensor selection mechatronic system integration.
Required Qualification:
- Masters or PhD in a relevant engineering/applied science field.
- 3 years of hands-on engineering design experience producing validated designs from competing specs (not just analysis).
- Proficient in at least one open-source simulation tool relevant to the domain.
- Strong Python (or equivalent) scripting skills.
- High attention to detail across units boundary conditions convergence and physical realism.
Nice to Have
- Experience designing engineering coursework exam problems or design challenges at graduate level.
- Familiarity with CI/CD pipelines or automated testing frameworks.
- Exposure to LLM evaluation AI benchmarking or training data curation.
- Cross-domain familiarity with Control Systems Embedded/Robotics or Power Systems.
Our client CodeByte is looking for AI Engineer Design Specialist in Lahore.Role Overview We are looking for experienced engineers with deep design expertise to create challenging simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic e...
Our client CodeByte is looking for AI Engineer Design Specialist in Lahore.
Role Overview
We are looking for experienced engineers with deep design expertise to create challenging simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic engineering design tasks where a model must make genuine trade-offs size components and iterate against physics-based simulators to meet competing specifications.
Key Responsibilities
- Design and validate simulation-based engineering problems that require true design reasoning with clear constraints and optimization goals.
- Deliver complete problem sets including reference solutions near-miss variants edge cases and documentation ensure appropriate difficulty with multiple failure modes and collaborate with researchers to refine problems based on model performance.
Domain Tracks
You should have deep design expertise in at least one of the following; expertise spanning multiple tracks is a strong plus.
- Electrical & Computer Engineering analog/mixed-signal IC design power electronics RF/microwave digital system design FPGA/ASIC embedded systems.
- Mechanical Engineering structural/thermal/fluid system design mechanism design HVAC vibration/dynamics manufacturing process design.
- Chemical Engineering reactor design process design and optimization separation systems transport phenomena combustion and thermochemistry.
- Control Systems classical and modern control design state estimation nonlinear and robust control system identification.
- Materials / Nano materials selection under constraints microstructure-property design thin-film and nanoscale device design.
- Engineering Physics / Optics optical system design photonic device design laser systems wave propagation and interference.
- Aerospace Engineering aerodynamic design propulsion sizing orbital mechanics flight dynamics and stability structural design for aerospace loads.
- Civil / Structural Engineering structural member and connection design foundation design seismic/wind loading geotechnical design.
- Nuclear / Energy reactor core design shielding thermal-hydraulics renewable energy system sizing grid-scale storage design.
- Systems Engineering system architecture trade studies requirements decomposition interface design multi-subsystem integration.
- Robotics kinematic/dynamic design motion planning actuator and sensor selection mechatronic system integration.
Required Qualification:
- Masters or PhD in a relevant engineering/applied science field.
- 3 years of hands-on engineering design experience producing validated designs from competing specs (not just analysis).
- Proficient in at least one open-source simulation tool relevant to the domain.
- Strong Python (or equivalent) scripting skills.
- High attention to detail across units boundary conditions convergence and physical realism.
Nice to Have
- Experience designing engineering coursework exam problems or design challenges at graduate level.
- Familiarity with CI/CD pipelines or automated testing frameworks.
- Exposure to LLM evaluation AI benchmarking or training data curation.
- Cross-domain familiarity with Control Systems Embedded/Robotics or Power Systems.
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