Advanced Compute Software Engineer

• Design and implement toolpath planning algorithms for CNC machines
• Create parallelizable algorithms running on CPU and GPU-based systems (CUDA, OpenCL)
• Develop algorithms that deploy across local, containerized, and cloud environments
• Partner with scientists, software engineers, technologists, and product teams to launch innovative digital products
• Write robust, well-documented code using industry-standard tools (BitBucket, Jira, etc.)

We are looking for a highly skilled Software Engineer with a passion for advanced manufacturing and computational problem-solving. The ideal candidate thrives at the intersection of engineering, software, and innovation-able to design high-performance algorithms, build scalable software, and collaborate with scientists, engineers, and technologists on cutting-edge digital products. You are a curious self-starter who enjoys tackling open-ended challenges, balancing independent work with teamwork, and driving ideas from concept to deployment.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum., * Bachelor's degree or equivalent experience in a technical field such as engineering, computer science, math, or related; Master's or higher degree preferred

• 5+ years of software engineering experience in computationally intensive domains (parallelization, GPU programming, clusters, or supercomputing)
• Strong coding ability in C/C++ and at least one other language (C#, Java, Python, etc.)
• Day-one expertise with NVIDIA CUDA to create parallelized algorithms
• Hands-on experience with advanced manufacturing processes such as CNC machining, design for manufacturing, and process engineering
• Practical knowledge of engineering design, simulation, and physics concepts
• Familiarity with 3D data workflows: CAD, CAM, graphics, 3D scanning, simulation of physical systems, or control system modeling, * Mechanical engineering, physics, or machine-shop/factory background
• Expertise in manufacturing workflows and optimization algorithms
• Experience packaging custom C/C++ libraries for Python or Node.js
• Experience with automating design and analysis workflows
• Knowledge of desktop, container-based, and cloud-native development environments

Location: Hybrid or remote, with preference for candidates near a Re:Build Manufacturing subsidiary.

Compensation Range: Annual salary for this position is expected to be between $130,000 to $208,000, plus participation in our annual bonus plan and long term incentive plan. The actual pay may be higher depending on your qualifications and experience.

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential. Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.