Verified Job
IT / Software / Data Analyst
Advanced Compute Software Engineer
IT / Software / Data Analyst
#533960
Remote / WFH
Job Description
About Re:Build Manufacturing
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 bring to bear 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 using 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.
What you get to do
Develop software to automate and simulate the CNC machining process
Develop high-performance algorithms related to advanced manufacturing applications that run efficiently
Develop algorithms to perform toolpath planning for CNC machines
Develop parallelizable algorithms that run on CPU and GPU-based systems
Develop algorithms that run on local and cloud system deployments
Work with scientists, software engineers, technologists, and product personnel on innovative new digital products
Write robust, well-documented code using standard tools such as BitBucket, Jira, etc.
What you bring to the team
Curious self-starter who can solve open-ended problems through a combination of high-contribution independent work and integration with small teams.
Undergraduate and Master's degree or equivalent experience or higher in a technical field (such as engineering, computer science, math, or general sciences)
5+ years of software engineering experience in a technically-intensive domain involving advanced computation work (parallelization, clusters, GPGPU development, low-level development, supercomputers, etc.)
Hands-on work experience with engineering topics including design engineering, design for manufacturing, and process engineering.
High proficiency and hands-on experience programming production-level code in C/C++, and in at least one additional general-purpose programming language (such as C#, Java, Python etc.)
Hands-on experience writing custom software code that use major GPGPU frameworks (e.g., CUDA, OpenCL) . Day 1-ability to use NVIDIA CUDA to create parallelized algorithms is mandatory.
Hands on practical experience and familiarity with advanced manufacturing processes such as CNC machining
Direct experience in engineering design, physics, and simulation concepts.
Have performed software development for multiple major 3D data categories, such as CAD, CAM, graphics, 3D scanning, simulation of 3D physical phenomena, mechanical-interacting control system design and modeling.
Desirable Qualifications
Mechanically focused background (such as mechanical engineering, physics, design engineering, or work in a machine-shop/factory)
Expert in manufacturing workflows
Expert with optimization algorithms
Experience developing and deploying custom packages for Python and Node.js based on custom C/C++ libraries.
Experience with automating engineering design and analysis
Experience with both desktop and container-based / cloud-based development workflows
Location – Framingham, MA
Note: Hybrid or remote is considered acceptable for this role. Preferably close to a Re:Build Manufacturing subsidiary.
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 bring to bear 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 using 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.
What you get to do
Develop software to automate and simulate the CNC machining process
Develop high-performance algorithms related to advanced manufacturing applications that run efficiently
Develop algorithms to perform toolpath planning for CNC machines
Develop parallelizable algorithms that run on CPU and GPU-based systems
Develop algorithms that run on local and cloud system deployments
Work with scientists, software engineers, technologists, and product personnel on innovative new digital products
Write robust, well-documented code using standard tools such as BitBucket, Jira, etc.
What you bring to the team
Curious self-starter who can solve open-ended problems through a combination of high-contribution independent work and integration with small teams.
Undergraduate and Master's degree or equivalent experience or higher in a technical field (such as engineering, computer science, math, or general sciences)
5+ years of software engineering experience in a technically-intensive domain involving advanced computation work (parallelization, clusters, GPGPU development, low-level development, supercomputers, etc.)
Hands-on work experience with engineering topics including design engineering, design for manufacturing, and process engineering.
High proficiency and hands-on experience programming production-level code in C/C++, and in at least one additional general-purpose programming language (such as C#, Java, Python etc.)
Hands-on experience writing custom software code that use major GPGPU frameworks (e.g., CUDA, OpenCL) . Day 1-ability to use NVIDIA CUDA to create parallelized algorithms is mandatory.
Hands on practical experience and familiarity with advanced manufacturing processes such as CNC machining
Direct experience in engineering design, physics, and simulation concepts.
Have performed software development for multiple major 3D data categories, such as CAD, CAM, graphics, 3D scanning, simulation of 3D physical phenomena, mechanical-interacting control system design and modeling.
Desirable Qualifications
Mechanically focused background (such as mechanical engineering, physics, design engineering, or work in a machine-shop/factory)
Expert in manufacturing workflows
Expert with optimization algorithms
Experience developing and deploying custom packages for Python and Node.js based on custom C/C++ libraries.
Experience with automating engineering design and analysis
Experience with both desktop and container-based / cloud-based development workflows
Location – Framingham, MA
Note: Hybrid or remote is considered acceptable for this role. Preferably close to a Re:Build Manufacturing subsidiary.
