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С++ / СUDA developer

Eqvilent

Roles & Responsibilities

  • Commercial experience in developing and debugging high-performance GPU and CPU applications with strong focus on latency and throughput
  • Hands-on experience with third-party libraries and designing custom CUDA kernels
  • Proficiency with profiling and performance analysis tools (Nsight Systems, Nsight Compute, nvprof)
  • Solid understanding of data structures, algorithms, and object-oriented programming in C++

Requirements:

  • Implement complex computational algorithms on GPU and CPU with demanding latency and throughput requirements
  • Refactor existing solutions to improve scalability
  • Collaborate effectively in remote or hybrid teams on project-based tasks
  • Design and optimize CUDA kernels and GPU/CPU components for performance, leveraging profiling tools and third-party libraries

Job description

We are looking for a Software Developer, preferably with commercial experience in low and ultra-low latency projects to join our dynamic team. The ideal candidate will demonstrate intelligence, steadiness, and thoughtfulness, with strong attention to detail and a passion for streamlining business processes. They should be naturally curious, approach problems with a continuous improvement mindset, and remain flexible in seeking ever-better solutions.

WHAT YOU’LL BE DOING:

  • Implementation of complex computational algorithms on GPU and CPU with demanding latency and throughput requirements
  • Refactor existing solutions to improve their scalability

WHAT WE LOOK FOR IN YOU:

  • Commercial experience in developing and debugging high-performance GPU and CPU applications with strong focus on latency and throughput
  • Hands-on experience with third-party libraries and designing custom CUDA kernels
  • Proficient with profiling and performance analysis tools (Nsight Systems, Nsight Compute, nvprof)
  • Solid understanding of data structures, algorithms, and object-oriented programming in C++
  • Proven ability to work effectively in remote or hybrid teams with variable, project-based responsibilities
  • Curiosity and proactive engagement with emerging trends in GPU/HPC/ML, continuously seeking to learn and apply new techniques

NICE-TO-HAVE:

  • In-depth knowledge and expertise in low-latency and real-time development, achieving sub-microsecond latency
  • Experience with lock-free data structures and associated design patterns
  • Proficient in C programming, including writing Linux drivers and working with kernel-level components
  • Strong understanding of Linux system internals and networking
  • Knowledge of memory optimization techniques (shared memory, registers, coalesced access, persistent kernels)
  • Experience with inference optimization frameworks

WHY SHOULD YOU JOIN OUR TEAM?

  • Great challenges with fast feedback loops
  • A welcoming group of highly qualified international professionals
  • Cutting-edge hardware and technology
  • Work remotely from anywhere in the world
  • Access any of our global offices anytime
  • Flexible schedule
  • 40 paid days off
  • Competitive salary
Ready to apply?
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