С+ / СUDA developer

Eqvilent; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

40 paid days off

Work remotely from anywhere

Access to global offices

Job summary

A tech company is seeking a skilled Software Developer with expertise in high-performance GPU and CPU applications. The ideal candidate will possess commercial experience and a strong understanding of C++. Key responsibilities include implementing complex algorithms and improving solution scalability. The role offers the flexibility to work remotely from anywhere in the world with a team of international professionals, along with attractive benefits including 40 paid days off.

Qualifications

• Commercial experience in developing high-performance GPU applications with latency focus.
• Hands-on with third-party libraries and custom CUDA kernels.
• Solid understanding of data structures and algorithms in C++.

Responsibilities

• Implement complex computational algorithms on GPU and CPU.
• Refactor existing solutions for better scalability.

Skills

Developing high-performance GPU applications

Debugging CPU applications

Profiling tools (Nsight Systems, Nsight Compute)

C++ programming

Curiosity and engagement with emerging trends

Tools

Nsight Systems

Nsight Compute

nvprof

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.

Responsibilities

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

Qualifications

• 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