C++, CUDA developer

4 days ago

Chennai, Tamil Nadu, India Avia Technologies Full time ₹ 6,00,000 - ₹ 18,00,000 per year

C++/CUDA Engineer

  • Design and implement high-performance GPU-accelerated modules in C++ and CUDA, converting algorithmic prototypes into production-ready components.
  • Optimize CUDA kernels and memory access patterns (shared memory, coalescing, streams, async transfers) to maximize throughput and minimize latency.
  • Integrate GPU modules into existing C++ codebases and APIs, ensuring robust error handling, unit tests, and CI/CD for GPU components.
  • Profile and debug GPU workloads using Nsight Systems, Nsight Compute and other profiling tools; identify bottlenecks and implement targeted fixes.
  • Collaborate with algorithm teams and system architects to parallelize workloads, define performance targets, and assess trade-offs between accuracy and compute cost.
  • Drive engineering best practices: code reviews, GPU performance benchmarks, documentation, and mentoring of junior engineers.

Skills & Qualifications
Must-Have (skills & tools)

  • C++
  • CUDA
  • NVIDIA CUDA Toolkit

Preferred (skills & Tools)

  • cuBLAS
  • Thrust
  • CUDA Graphs

Must-Have (qualifications)

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (or equivalent practical experience).
  • 2+ years of proven track record of delivering C++ applications with native CUDA acceleration in production environments.
  • Strong understanding of GPU architectures and ability to translate algorithmic requirements into efficient parallel implementations.
  • Experience with GPU profiling, benchmarking, and performance regression tracking.

Preferred (qualifications)

  • Experience integrating CUDA modules into embedded or real-time systems.
  • Familiarity with performance-sensitive libraries (cuBLAS, cuDNN) and domain-specific optimization techniques.

Benefits & Culture Highlights

  • Hands-on work with cutting-edge GPU compute in safety- and latency-critical systems.
  • Collaborative engineering culture with emphasis on performance excellence and continuous learning.
  • Opportunities to influence architecture, mentor peers, and own end-to-end deliverables.

Skills: c++,gpgpu,cuda,algorithms

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