С+ / СUDA developer

Eqvilent; Poland; Remote; PLN 255,000 - 365,000; Full time

Job summary

A technology firm is seeking a Software Developer to implement complex algorithms on GPU and CPU. Candidates should have experience in developing high-performance applications, especially focusing on low and ultra-low latency. This role offers challenges in a remote work environment with access to advanced technology and generous paid time off.

Benefits

40 paid days off

Work remotely from anywhere

Access to global offices

Qualifications

• Commercial experience in developing and debugging high-performance applications focusing on latency.
• Hands-on experience with third-party libraries and designing custom CUDA kernels.
• Proficient in profiling and performance analysis tools.

Responsibilities

• Implement complex computational algorithms on GPU and CPU with demanding latency.
• Refactor existing solutions to improve scalability.

Skills

High-performance GPU and CPU applications

CUDA kernels

Performance analysis tools

C++ programming

Remote/hybrid teamwork

Curiosity in GPU/HPC/ML

Tools

Nsight Systems

Nsight Compute

nvprof

Job description

Overview

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.

Responsibilities

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

Qualifications

• 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
• 40 paid days off