Senior Scientific Visualization Engineer

Flexcompute is an early-stage technology startup that develops ultra-fast simulation technology to help companies to design and optimize technology products. Our award-winning products are used to design airplanes, wind turbines, quantum computing chips, VR/AR headsets, data centers, and smartphones. Our team consists of world-renowned experts in scientific computing, and we have a global team working remotely from Europe, Asia, North and South America.

At Flexcompute, we value innovation, excellence, and collaboration. Our culture is one of openness, where all ideas are welcome, and everyone’s voice is heard. We believe that the best solutions are created through collaboration, and we encourage our team members to work together to solve complex problems. We also believe in supporting our team members in achieving their goals and providing opportunities for growth..

Roll overview

We are looking for an applicant with extensive scientific visualization expertise who can help us create a completely novel and intuitive experience for scientific computing users. This candidate will be responsible for implementing state-of-the-art data visuilization algorithms, developing real-time large scale rendering capabilities, and discovcering novel ways to interact with large Computational Fluid Dynamics (CFD) data sets.

Requirements

Required

• PhD in computer science or applicable technical field with 2-5 years of industry experience
• Strong background in Computational Geometry, GPU rendering, Scientific Computing
• Basic knowledge of numerical methods, Scientific Visualization, and data compression
• Proven experience in and contributions to scientific visualization software with CFD applications
• C++ for scientific computing, Python (or similar) for scripting, and JavaScript
• Familiar with web-based visualization libraries such as OpenGL
• Experience with Amazon Web Service (or similar service) for data visuilization

Preferred

• Industry experience with implementation and testing of large scale web-based visualization
• Prior experience in working collaboratively in a medium sized distributed development team
• Expertise in one or more of the following topics:
• Mesh Coarsening algorithms
• Octree data structures
• Server-client rendering
• Real-time visualization
• Development of scalable, parallel scientific software using MPI, OpenMP, or CUDA
• Virtual Reality rendering of large-scale Scientific Computing data
• Experience with open source data visualization software such as ParaView.
• Ray tracing algorithms
• High-throughput batched data processing

Benefits

• Competitive compensation with equity of a fast-growing startup.

• Medical, dental, and vision health insurance.
• 401(k) Contribution.
• Gym allowance.
• Friendly, thoughtful, and intelligent coworkers

How To Apply

Candidates passionate about playing a pivotal role in shaping the future at Flexcompute are encouraged to apply through our careers portal with a comprehensive resume, a cover letter outlining their alignment with our goals, and any relevant supporting materials. 

Join Us

As our market and products grow, we are rapidly expanding and searching for partners who are eager to grow in a dynamic environment, possess an entrepreneurial spirit, and can scale our team. Flexcompute is dedicated to providing equal employment opportunities. We firmly believe that talent from diverse backgrounds can bring our company a rich and varied perspective. We warmly welcome candidates from all backgrounds to join us on this passionate and challenging journey, together facing the most compelling challenges in engineering computation.

Join Flexcompute, where your expertise in advanced computing will contribute to accelerating innovation in various fields for the next industrial renaissance.

Flexcompute is dedicated to promoting diversity, equity, and inclusion in the workplace. We are an equal opportunity employer that recognizes the value of diverse perspectives in achieving our mission. We encourage candidates from all backgrounds to apply.