С++/СUDA developer
Eqvilentjobs
WorldwideFully remoteFull TimeMid LevelInformation Technology
Posted 3 hours ago3h agoApply link checked 2 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 hours ago · apply link checked 2 hours ago
About the role
Responsibilities
- Implement complex computational algorithms on GPU and CPU with demanding latency and throughput requirements
- Refactor existing solutions to improve their scalability
Requirements
- Commercial experience developing and debugging high-performance GPU and CPU applications
- Hands-on experience with third-party libraries and custom CUDA kernels
- Proficiency with Nsight Systems, Nsight Compute and nvprof
- Solid understanding of data structures, algorithms and object-oriented C++
- Ability to work effectively in remote or hybrid teams
Preferred Qualifications
- Low-latency and real-time development experience, including sub-microsecond latency
- Experience with lock-free data structures
- Proficiency in C, including Linux drivers and kernel-level components
- Strong understanding of Linux internals and networking
- Knowledge of GPU memory optimization techniques
- Experience with inference optimization frameworks
Benefits
- Work remotely from anywhere in the world
- Access to global offices
- Flexible schedule
- 40 paid days off
- Competitive salary
About the Company
- Welcoming group of highly qualified international professionals working on cutting-edge hardware and technology.
What we look for
- Commercial experience developing and debugging high-performance GPU and CPU applications
- Hands-on experience with third-party libraries and custom CUDA kernels
- Proficiency with Nsight Systems, Nsight Compute and nvprof
- Solid understanding of data structures, algorithms and object-oriented C++
- Ability to work effectively in remote or hybrid teams
- Low-latency and real-time development experience, including sub-microsecond latency
- Experience with lock-free data structures
- Proficiency in C, including Linux drivers and kernel-level components
- Strong understanding of Linux internals and networking
- Knowledge of GPU memory optimization techniques
- Experience with inference optimization frameworks
C++AlgorithmsLinuxMachine LearningData StructuresCUDAObject oriented programmingNsight SystemsNsight ComputenvprofLock-free Data StructuresLinux Drivers
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