Senior R&D Engineer

In this role, you will contribute to the design, development, and optimization of high-performance GPU-accelerated algorithms for advanced numerical methods and computer vision applications. You will work closely with domain experts and engineering teams to translate complex mathematical models into efficient, scalable, and vector-friendly solutions, moving ideas from Python prototypes to production-grade C++ implementations.

You will play an important role in improving application performance on modern NVIDIA GPU architectures, influencing technical decisions around CUDA kernel optimization, mixed-precision computing, task-based runtimes, and multi-GPU execution

• Design, implement, and tune high-performance CUDA kernels
• Profile, benchmark, and iterate using Nsys, Nsight
• Collaborate with domain scientists to translate mathematical models into vector-friendly algorithms
• Prototype new approaches in Python and harden them in C++
• Influence architecture decisions related to task-based runtimes, mixed-precision arithmetic, and multi-GPU scheduling

• Strong hands-on experience with algorithmic design and optimization of numerical methods, with at least 12 months of commercial experience in this area
• Solid understanding of design/developing/profiling CUDA kernel for modern architectures:
  Ampere and above, CUDA core C++ library: CUB, Thrust, etc
• Experience with C++
• Background in Computer Vision
• Advanced knowledge in Microsoft Visual Studio

Soft Serve is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with Soft Serve.

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We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across keyareas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalablesolutions rooted in real business needs and measurable human impact.

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Work from home, from the office, or in a hybrid format that supports focus and collaboration.

Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.

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