Research Engineer, AI Models (India)

Research Engineer, AI Models (India)

16 Aug
|
EnCharge AI
|
India

16 Aug

EnCharge AI

India

Research Engineer, Applied AI

Location: India (or Remote-friendly with travel)

About EnCharge AI:

EnCharge AI is building the next generation AI platform. Our novel
in-memory-computing architecture delivers a 10x step-function improvement
in compute energy efficiency and performance for AI inference workloads. As the
demands of artificial intelligence move beyond today's models, we believe
fundamental underlying infrastructure must evolve. We are an experienced team of
AI researchers, silicon & systems engineers, and architects backed by leading
investors, poised to become the essential platform for the next wave of AI
innovation.

The Chance:

Modern AI workloads—from large language models to diffusion-based generators to
multimodal systems—represent some of the most compute-intensive frontiers in AI,
and some of the most promising applications for our hardware’s energy efficiency
advantages. We’re building a vertically integrated AI stack that
will showcase the transformative potential of our silicon while delivering real
value to customers today.





We are seeking a Research Engineer to push the boundaries of AI
model capability, quality, and efficiency. You’ll build fine-tuning and post
training pipelines, develop rigorous benchmarking frameworks, and work at the
intersection of ML research and hardware-aware optimization—ensuring our
models run beautifully on our silicon.

This is a role for someone who thrives at the boundary between research and
engineering. You’ll read papers, implement techniques, and ship
production-quality code—all in service of making AI inference faster, cheaper,
and better.

Key Responsibilities:

* Algorithmic Acceleration: Research and implement state-of-the-art techniques
to accelerate AI inference—quantization, sparsity, distillation, speculative
decoding, caching strategies, and architectural modifications. Systematically
characterize tradeoffs between model quality, latency, throughput, and power
consumption to find optimal

📌 Research Engineer, AI Models (India)
🏢 EnCharge AI
📍 India

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