Flexible Work Model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
ABOUT THE ROLE
In this role, you will contribute to building advanced solutions that maximize the capabilities of heterogeneous CPU and GPU clusters while collaborating with a distributed team of more than 100 engineers and scientists driving impactful HPC innovation worldwide.
Our growing R&D team is focused on developing next-generation partial differential equation (PDE) solvers for computational fluid dynamics, seismic analysis, and other high-performance computing applications.
RESPONSIBILITIES
- Design, implement, and optimize high-performance computational kernels for PDE solvers targeting modern CPU and GPU architectures
- Contribute to the development and optimization of performance-critical components, helping improve scalability, throughput, and computational efficiency under the guidance of senior engineers.
- Collaborate closely with domain scientists, engineers, and researchers to transform mathematical models into efficient, vector-friendly algorithms
- Profile and benchmark applications using hardware performance counters, flame graphs, and advanced performance analysis techniques to identify optimization opportunities
- Prototype innovative numerical and performance-focused approaches in Python and evolve them into production-ready C++ solutions
- Port and tune computational kernels for GPU environments, ensuring effective utilization of accelerator hardware and heterogeneous platforms
- Influence technical decisions related to task-based runtimes, mixed-precision arithmetic strategies, and multi-GPU execution models
- Contribute to software quality through testing, performance validation, code reviews, and knowledge sharing within the engineering team
REQUIREMENTS
- At least 6 months of commercial experience designing and optimizing finite-difference, finite-volume, or finite-element methods
- Strong proficiency in C/C++17 and experience developing SIMD-friendly, cache-aware, high-performance code
- Hands-on experience with MPI or another distributed-memory programming model for large-scale numerical computing
- Practical knowledge of Linux performance-analysis tools such as perf, FlameGraph, Intel VTune, or similar solutions
- Experience working with GPU architectures and programming environments such as CUDA or HIP, including porting CPU kernels to accelerators
- Good Python scripting skills for automation, tooling, testing, and data analysis tasks
- Strong analytical and problem-solving skills with a passion for algorithm design and optimization
- Proficiency in communicating effectively in technical English during daily collaboration, code reviews, and design discussions
- Collaborative mindset and willingness to learn, experiment, and contribute to complex R&D initiatives
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Role Summary
Location
Ukraine
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Research & Development
Tech level
Junior
Apply Now
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, 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 key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.