Advanced Compute Software Engineer

An Advanced Compute Software Engineer at Re:Build Manufacturing will primarily focus on developing software solutions that automate CNC machining processes and create high-performance algorithms for advanced manufacturing applications. This role involves collaborating with multidisciplinary teams to innovate digital products while ensuring code quality through robust documentation and standard tools like BitBucket and Jira. You'll also be tasked with developing algorithms for toolpath planning and parallelizable solutions for both CPU and GPU-based systems.

To successfully apply for the Advanced Compute Software Engineer position at Re:Build Manufacturing, candidates should possess an undergraduate or Master's degree in a technical field such as engineering, computer science, or mathematics. Additionally, candidates should have at least 5 years of software engineering experience related to advanced computation, proficiency in programming languages such as C/C++ and familiarity with GPGPU frameworks like CUDA or OpenCL. Experience in engineering design processes and CNC machining is highly desired.

For the Advanced Compute Software Engineer role at Re:Build Manufacturing, candidates must demonstrate high proficiency in programming production-level code in C/C++. Familiarity with at least one additional programming language, such as C#, Java, or Python, is also required. Candidates should have experience with major GPGPU frameworks, particularly NVIDIA CUDA, as creating parallelized algorithms is a fundamental part of the job.

Yes, remote work is an acceptable option for the Advanced Compute Software Engineer position at Re:Build Manufacturing, though we prefer candidates who reside close to one of our subsidiaries. We understand the importance of flexibility in today’s work environment and aim to accommodate the best talent regardless of their location.

At Re:Build Manufacturing, an Advanced Compute Software Engineer will work on a variety of innovative projects focused on automating complex manufacturing processes. This includes the development of software for CNC machining, creating advanced algorithms for toolpath planning, and partnering with teams to deploy software solutions that leverage cloud and local platforms in advanced manufacturing applications.

When preparing for this question, emphasize specific projects where you developed algorithms for CNC machining. Discuss the technologies used, your approach to solving challenges, and the impact your work had on improving efficiency or precision.

In answering this question, share your approach to writing clean, well-documented code. Discuss your familiarity with version control systems like BitBucket, and mention any code review processes you've been part of.

Here, detail your hands-on experience with GPGPU programming. Provide specific instances where you utilized CUDA to create parallelized algorithms, and explain how it improved performance in your projects.

One effective way to discuss this is to share your general methodology for tackling open-ended problems. You could mention techniques like breaking problems into smaller tasks, collaborative brainstorming, or iterative testing.

Use this opportunity to highlight a specific project that showcases your technical skills. Discuss the complexities you faced, how you addressed them, and the final outcome.

Be sure to mention C/C++, as it's crucial for the role, and highlight your experience in at least one other language like Python or Java. Discuss how you used these languages in relevant projects.

To effectively answer this, draw on your educational background or relevant work experience. Highlight key aspects of CNC machining, including its significance in manufacturing and the technology involved.

Mention resources you regularly consult to stay informed, such as industry publications, online courses, and professional networks. Describe any recent advancements you've integrated into your work.

When addressing this, elaborate on specific projects or roles where you've utilized cloud solutions and containerization. Discuss your comfort with tools like Docker or deployment strategies.

Express your enthusiasm for working at Re:Build Manufacturing, highlighting their innovative projects and commitment to revitalizing U.S. manufacturing, as well as how your skills align with their mission.