About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges.
This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions.
We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures.
Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities.
Previous experience in AI model training is not required.
Key Responsibilities
Requirements
Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrated ownership of substantial engineering work, such as:
Taking a hardware product or subsystem into production.
Validating engineering models against physical testing.
Developing engineering test or verification systems.
Diagnosing and resolving complex hardware failures.
Mandatory hands-on experience working with AI Coding Agents.
Strong practical programming skills and the ability to independently write, understand, debug, and execute code.
Experience using programming languages or engineering tools relevant to hardware development and analysis.
Ability to connect first-principles engineering knowledge with practical design and operational constraints.
Strong quantitative, analytical, and technical reasoning skills.
Ability to produce clear, technically accurate, and independently verifiable engineering solutions.
Strong written and spoken English communication skills.
Develop and evaluate rigorous hardware engineering problems and reproducible solutions using first-principles analysis, simulation, programming, testing, and AI Coding Agents.
Develop and evaluate rigorous hardware engineering problems and reproducible solutions using engineering analysis, simulation, programming, and AI Coding Agents, grounded in real-world systems and constraints.
Design and optimize low-latency RTL for next-generation FPGA and ASIC control platforms, contributing across architecture, implementation, synthesis, timing analysis, and verification.
Design and deliver production-ready RTL for complex digital systems, translating architectural specifications into scalable microarchitectures while collaborating across architecture, verification, and physical design.
Develop and optimize GPU kernels and multi-GPU inference, investigate hardware performance bottlenecks, and build AI agents that automate model porting, correctness testing, and benchmarking.
