Were building next-generation AI and HPC acceleration technology and need a hands-on engineer to make real applications run on it. Youll port AI and scientific workloads to our recent silicon, build live demos, and support customer proofs of concept.
What youll do
- Lead porting of AI and HPC applications, including LLMs, molecular dynamics, CFD and genomics
- Build, benchmark and present live demos
- Develop a fair, reproducible benchmarking methodology covering bandwidth, throughput, power and accuracy
- Support customer evaluations and SDK onboarding, and document results
- Escalate SDK gaps and performance bottlenecks to the platform team with reproducible test cases
What were looking for
- B.Tech/M.Tech or M.S. in CS, Electrical Engineering or a related field
- 8-12 years in HPC/AI application engineering,
accelerator software or platform bring-up
- Hands-on porting experience using CUDA, OpenCL, HIP or MPI
- Strong Python and C/C++; PyTorch and LLM inference experience
- Experience with roofline analysis, memory bandwidth measurement and latency profiling
- Clear communicator with engineering and non-technical audiences
- Willingness to travel for customer demos, PoCs and conferences
Nice to have
- LLM inference frameworks (vLLM, Hugging Face, llama.cpp) on non-NVIDIA hardware
- Experience with GROMACS, OpenFOAM, BWA or BLAST
- Background at an AI accelerator startup or HPC vendor
📌 New Application Development & Demo Deployment Lead (Bangalore Rural)
🏢 Saaki Argus And Averil Consulting
📍 Bangalore Rural
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