• 
  Team Leadership & Delivery: Lead, mentor, and develop a small team of GPU/HPC
  engineers. Plan sprints, manage workload distribution, and ensure the timely delivery of
  high-quality software components.
• 
  Mentorship & Culture: Conduct regular 1:1s, support engineers' career development,
  and foster a culture of continuous improvement and technical excellence.
• 
  Technical Strategy: Translate high-level technical goals from senior management into
  actionable tasks, surface blockers early, and maintain clear communication with
  stakeholders.
• 
  Hands-on Development: Write production-ready, low-level GPU kernel code using
  CUDA, HIP, or OpenCL for AI training and inference workloads.
• 
  Quality Assurance: Lead code reviews, enforce coding standards, and perform deep
  performance profiling and memory hierarchy optimizations to solve critical architectural
  challenges.

Requirements

• 
  Bachelor's degree in Computer Science, Computer Engineering, or a related technical
  field.
• 
  2+ years of professional experience writing system software for GPUs.
• 
  Strong programming proficiency in C++ and Python.
• 
  Direct experience writing and optimizing GPU software using CUDA, HIP, or OpenCL.
• 
  Deep knowledge of GPU memory hierarchies, including shared memory utilization,
  registers, coalescing, and occupancy optimization.
• 
  Familiarity with deep learning frameworks (such as PyTorch or TensorFlow) and how they
  interact with underlying GPU hardware.

• 
  Experience with distributed GPU computing, multi-GPU coordination, or parallel runtime  systems.
• 
  Strong understanding of AI model architectures (e.g., attention mechanisms, matrix operations) and their impact on GPU workload design.
• 
  Hands-on experience with performance profiling tools such as Nsight Compute, Nsight Systems, or AMD ROCm profiler.
• 
  Active contributions to open-source GPU/HPC projects or publications at top-tier relevant conferences (PPoPP, HPDC, SC, MICRO, etc.).

Benefits

• 
  Competitive salary package with performance bonuses.
• 
  Premium healthcare insurance coverage.
• 
  Opportunity to work with cutting-edge HPC, multi-GPU systems, and generative AI infrastructure.
• 
  Clear career growth paths and continuous professional development support.
• 
  Dynamic, open, and technical engineering work environment.