Encharge AI
AI Compiler Engineer
$110K–$1755K
Remote-US, Canada, Germany and Norway +4 · Remote · Full-time · Posted Jun 9, 2026
- Location
- Remote-US, Canada, Germany and Norway
Canada
Germany
Norway
Remote - US - Experience
- 3+ years in compiler development, with a strong focus on AI or ML graph compilers; demonstrated experience leading and mentoring engineering teams with successful project delivery.
- Education
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
About the job
Develop and optimize AI graph compilers to improve model performance and deployment on EnCharge AI inference accelerators.
What you'll do
- Design compiler optimizations and graph transformations to improve performance, reduce latency, and maximize hardware utilization.
- Convert AI models from deep learning frameworks into intermediate representations, including implementing parsing, semantic analysis, and IR generation.
- Collaborate with researchers and hardware and software engineers; provide technical leadership and mentorship to compiler engineers.
What they ask for
- 3+ years in compiler development, focused on AI or ML graph compilers.
- Proficiency in AI graph compiler frameworks such as MLIR or Torch-FX.
- Knowledge of hardware architectures and optimization techniques such as fusion, quantization, and tiling.
- Understanding of intermediate representations, parsing, semantic analysis, neural network operators, and code generation; proficiency in C++, Python, or other compiler-development languages.
Nice to have
- Ph.D.
- Open-source contributions to AI software frameworks and libraries.
Pay
$190,000 to $255,000 USD per year (base salary); $195,000 to $265,000 CAD per year (base salary); €110,000 to €160,000 EUR per year (base salary); 1,206,458 to 1,754,848 NOK per year (base salary)
Tools
MLIR, Torch-FX, TensorFlow, PyTorch, C++, Python
AI focus
Build and optimize graph compilers for AI and ML workloads, including neural-network model optimization and deployment on inference accelerators.
Model-written summary · the original posting is authoritative