NanoCore Technologies is an early stage technology company developing a method of metal additive manufacturing an order of magnitude less complicated and less expensive than existing printers. Today, popular metal 3D printers cost half a million dollars or more and use complicated high-powered lasers and controlled atmospheres. NanoCore is taking an entirely different approach that utilizes proprietary materials science and machine design to make metal 3D printing easier, simpler and less expensive than previously imaginable. To put it simply, we believe our technology will fundamentally change how metal parts are made.
We are a dedicated team of engineers and scientists passionate about manufacturing innovation. We see technical challenges as opportunities, and through focus and teamwork we find creative solutions. Apply only if you are excited about getting your hands dirty. NanoCore is located in San Francisco, CA and is walking distance to BART& Caltrain and offers competitive salaries, benefits and stock options.
You will utilize your software engineering skill set to help NanoCore bring our first metal 3D printer to market. You will contribute to PC or cloud-based deployments to realize future generations of NanoCores machine control software. This role requires extensive laboratory and shop work, both routine and creative in nature. Activities include:
Conceiving and realizing toolpath generation algorithms to control NanoCores machines, including researching and incorporating state of the art toolpath solutions.
Contributing to production codebases in C/C++, Python, and more; includes documentation, source repository management, and pursuit of software engineering best practices.
Designing DOE and verification test to prove software functionality on printer hardware.
Contributing to GUI development, cloud and IoT components, logging and database efforts.
6+ years of expertise developing software/firmware for industrial machines, with 3+ years work managing software that interfaces to CNC machines or motion control systems.
Innate abilities in C/C++ and Python, GIT, issue tracking, software design documenting, GUI implementations, and other pertinent tools of the trade.
Ability to research, scope, and apply geometrical functions in new toolpath generation algorithms.
Experience working with user interface designers to develop GUIs for Windows or embedded environments. IoT and cloud experience a plus.
Clear history for getting things done and demonstrated track record for participating in a structured development process including: planning for test, successive releases, issue management.
Demonstrated ability to appreciate multidisciplinary problems and tackle technical challenges with creativity, where analysis of situations or data requires an evaluation of a variety of factors.
Bachelors or Masters in software, mechanical, physics, or related engineering field. Strong verbal and written communication skills, as demonstrated through interactions with peers and management.
All your information will be kept confidential according to EEO guidelines.
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