India · Remote OK
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-fu…
Skills: Python, PyTorch, Transformers, Diffusion Models, Fine-tuning
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Research and implement state-of-the-art techniques to accelerate AI inference and optimize model quality on custom silicon. Build fine-tuning pipelines and benchmarking frameworks to characterize tradeoffs between latency, throughput, and power consumption.
Requires 5+ years of experience in ML research or systems with strong proficiency in Python and PyTorch. Candidates must have hands-on experience fine-tuning large generative models and implementing techniques from research papers.
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 Opportunity:
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:
Qualifications:
Nice to Have:
Where the future of AI compute is being defined and built, to unlock new levels of machine intelligence.
EnCharge AI is a leader in advanced hardware and software systems for AI 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, at a fraction of the cost. The high-performance architecture is coupled with seamless software 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.
Offices: 4500 Great American Parkway, Suite 230, Santa Clara, California 95054, US
Where the future of AI compute is being defined and built, to unlock new levels of machine intelligence.
EnCharge AI is a leader in advanced hardware and software systems for AI 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, at a fraction of the cost. The high-performance architecture is coupled with seamless software 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.
Offices: 4500 Great American Parkway, Suite 230, Santa Clara, California 95054, US
