Careers

Senior GPU Compute Engineer

Analyzehive Global LLP is seeking a Senior GPU Compute Engineer to architect the computational backbone of our Sovereign Intelligence platform. As an NVIDIA Connect Program Member, we do not just consume APIs; we optimize physics-based entropy models at the kernel level. You will work directly with our Chief Technical Advisor to push the limits of parallel computing, ensuring our algorithms run with deterministic speed on world-class accelerated infrastructure.
Responsibilities:

  • Kernel Optimization: Write and optimize custom CUDA kernels to accelerate our proprietary entropy simulation algorithms.

  • Architecture Design: Leverage the NVIDIA RAPIDS™ ecosystem and cuDF to build high-throughput data pipelines that bypass CPU bottlenecks.

  • Latency Engineering: Profile and debug system performance to achieve sub-millisecond latency for real-time industrial decision-making.

  • Hardware Integration: Collaborate with the AI team to deploy models effectively on H100/A100 clusters via our cloud partners.

  • Sovereign Logic: Ensure all compute processes adhere to our strict data sovereignty and security protocols.

Qualifications:

  • 4+ years of experience in High-Performance Computing (HPC) or Systems Programming.

  • Deep expertise in C++ and CUDA programming.

  • Strong familiarity with Python internals and the NVIDIA software stack (TensorRT, Triton Inference Server).

  • Understanding of memory management, threading, and parallel algorithms.

  • B.Tech/M.Tech in Computer Science (bonus points for research background in Distributed Systems).

Compensation & Benefits:

  • Compensation: Competitive Market Salary + Phantom Equity Units.

  • Tech Stack: Full access to the NVIDIA Connect ecosystem and enterprise-grade compute resources.

  • Culture: Radical Autonomy. No micromanagement. You own the optimization layer.

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