Compiler engineer – MLIR migration & infrastructure (2–3 hires)

www.enchargeai.com

Locations: Bangalore (Hybrid)

Job Description:

Bengaluru, Karnataka (Hybrid)

About EnCharge AI:

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation 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 enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

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.

Compiler engineer – MLIR migration & infrastructure (2–3 hires)

· Focus: MLIR development and compiler infrastructure (IR, passes, codegen, tooling).

· Ideal profile: Experienced compiler engineer with hands-on MLIR/LLVM (or similar IR/toolchain) work. Comfortable with C++, build systems, and large codebases.

· Level: Mid to senior. We prefer strong senior candidates; will consider exceptional juniors/graduates only if they have very relevant compiler/IR experience.

8+ years of experience

Contact:

Uday

Mulya Technologies

muday_bhaskar@yahoo.com

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