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Mumbai · Hybrid · 3-5 Yrs · 5 days ago
1 to 50 Employees · Sofia, Bulgaria
3 open roles1 posted in 7d3 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
www.enchargeai.com AI Compiler Engineer-Senior Engineer Locations: Bangalore (Hybrid) /Remote The 10 Hottest Semiconductor Startups Of 2025 (So Far)
Responsibilities
- EnCharge AI is seeking a highly skilled and experienced 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 enable efficient model deployment on EnCharge's Inference Accelerators.
- 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 deploy 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.
- Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide 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 related field (Ph.D. preferred). 3-7 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 generation.
- 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. Open-source contributions to AI software frameworks and libraries is a plus Demonstrated experience leading and mentoring engineering teams with successful project delivery skills
- MLIR Pytorch compilers "graph compilers" Torch-Fx "hardware Architecture" GPU TPU NPU "Neural networks" tensorflow AI ML DL
- Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Senior AI Compiler Engineer at EnCharge AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. EnCharge AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI Compiler Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Compiler Engineer remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Senior AI Compiler Engineer role at EnCharge AI?
- This is a senior Senior AI Compiler Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.