Graphics Engine Software Engineer

The Graphics Engine Software Engineer at Zoo will primarily focus on developing and maintaining CAD modeling algorithms, enhancing CAD engine rendering code, and improving low-level architectural systems that interact with Graphics APIs. Additionally, this role involves analyzing code for performance optimization and documenting implementation details to streamline collaboration within the engineering team.

To qualify for the Graphics Engine Software Engineer role at Zoo, candidates should possess a B.S. in Computer Science or a related field, with proficiency in C++14/17, substantial experience in 3D graphics and CAD software, and familiarity with 3D Graphics APIs like Vulkan or OpenGL. Experience with GPU computing APIs such as CUDA is also preferred.

Zoo is committed to ensuring that our remote team members thrive by offering flexible vacation policies, a home office stipend, and wifi reimbursement. We create an inclusive environment where you can operate autonomously while remaining a strong team player, regardless of your location.

The primary mission for the Graphics Engine Software Engineer at Zoo is to revolutionize the CAD industry by developing state-of-the-art hardware design tools. The role involves building core functionalities of the CAD Graphics Engine to enable users to achieve faster and more reliable modeling and geometry capabilities in their hardware designs.

Zoo offers a competitive compensation and equity package, comprehensive medical, dental, and vision coverage, and a 6% 401K match for US-based employees. Additionally, employees enjoy flexible vacation policies, a home office stipend, and pet insurance reimbursement, reflecting our commitment to a balanced work-life experience.

Discuss your background in working with CAD applications like Blender or Solidworks, emphasizing specific projects where you've implemented rendering or modeling algorithms. Highlight the tools and techniques you used to optimize those experiences.

Detail different rendering techniques you've implemented, such as rasterization or ray tracing. Provide examples and discuss performance considerations that affected your choices in earlier projects.

Talk about strategies you've used, such as analyzing load times, memory usage, and platform-specific issues. Be specific about tools or methods you’ve used for profiling and optimizing these applications.

Outline your approach to developing algorithms, mentioning your ability to abstract the problem, break it down into manageable parts, and ensure each component meets the overall goals effectively through testing and iteration.

Share a specific example that illustrates your problem-solving skills in a graphics context. Focus on the challenge, your process for overcoming it, and the successful outcome.

Discuss methods you use to keep current, such as following industry-leading publications, participating in relevant online forums, contributing to open-source projects, or attending industry conferences and webinars.

Mention your hands-on experience with tools like Vulkan, OpenGL, or similar graphics APIs. Discuss specific projects where you utilized these technologies and any challenges you faced.

Explain your strategy for documentation, including the use of comments, README files, or wikis. Stress the importance of clarity for team collaboration and code review processes.

Talk about your exposure to GPU computing, emphasizing how you've implemented CUDA in your past projects to enhance performance, along with specific examples of tasks that benefited from this technology.

Describe your leadership experience in past projects, your ability to communicate effectively with team members, and how you drive projects to completion while resolving any conflicts or technical challenges that arise.