Engineering Design Specialist (Simulation-Based Systems)
Gramian Consulting Group View all jobs
- Kenya
- Contract
- Full-time
- Design realistic, simulation-driven engineering problems with clear constraints and optimization goals
- Develop complete problem sets including: Reference solutions, Edge cases and failure modes, Near-miss variants
- Ensure problems reflect real-world engineering complexity, including competing requirements and design trade-offs
- Validate correctness and physical realism (units, boundary conditions, convergence, feasibility)
- Collaborate with research teams to refine problem quality based on model performance
- Continuously improve problem difficulty and diversity across scenarios
- Electrical & Computer Engineering — analog/mixed-signal, power electronics, RF, FPGA/ASIC, embedded systems
- Mechanical Engineering — thermal/fluids, structures, dynamics, HVAC, manufacturing
- Chemical Engineering — reactors, separations, process optimization, thermochemistry
- Control Systems — feedback systems, state estimation, nonlinear/robust control
- Materials / Nano — materials selection, microstructure design, nanoscale systems
- Engineering Physics / Optics — photonics, lasers, wave propagation
- Aerospace Engineering — aerodynamics, propulsion, flight dynamics
- Civil / Structural Engineering — structural design, geotechnical, seismic/wind loads
- Nuclear / Energy — reactor systems, thermal-hydraulics, energy systems
- Systems Engineering — system architecture, trade studies, integration
- Robotics — kinematics, motion planning, mechatronics
- Master’s or PhD in Engineering or Applied Science
- 3+ years of hands-on engineering design experience (not purely analytical roles)
- Proven ability to design systems under competing constraints and specifications
- Experience with at least one simulation tool relevant to your domain
- Strong Python (or equivalent scripting) skills
- High attention to detail and engineering rigor
- Experience designing academic or industry-level engineering challenges
- Exposure to AI/LLM evaluation or benchmarking
- Familiarity with CI/CD or automated validation pipelines
- Cross-domain experience (e.g., control systems, robotics, energy systems)