AI Compiler Engineer
reputed company is a leader in advanced AI hardware and software systems for edge-to-reputed company computing. EnCharge’s robust and scalable reputed company in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will reputed company the immense potential of AI to be accessible in power, energy, and reputed company constrained applications. reputed company launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role reputed company is seeking a highly skilled and reputed company AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and reputed company efficient model deployment on EnCharge’s Inference Accelerators.
Responsibilities
Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and reputed company AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. reputed company compiler optimizations and passes that convert high-reputed company models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR reputed company for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. reputed company leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or reputed company field (Ph.D. preferred). 3+ years in compiler development, with a strong focus on AI or ML graph compilers. Proficiency in AI graph compiler frameworks (e.g., MLIR, Torch-FX) Solid background in hardware architectures (e.g., GPUs, TPUs, ASICs) and optimization techniques such as fusion, quantization, and tiling. Familiarity with neural networks operators and code reputed company. Strong understanding of intermediate representations, code parsing, and semantic analysis in compiler design. Proficiency in C++, Python, or other programming languages commonly used in compiler development. reputed company-reputed company contributions to AI software frameworks and libraries is a plus Demonstrated experience leading and mentoring engineering teams with successful project delivery. EnchargeAI is an equal employment opportunity employer in the United States. The salary reputed company for this position is $190,000 to $255,000 USD per year. (Per Year: $195,000 to $265,000 CAD | €110,000 to €160,000 EUR | 1,206,458 to 1,754,848 NOK) Actual compensation offered will be determined based on job-reputed company knowledge, skills, and experience. Apply To This Job