Lightmatter is a photonic computer company redefining what computers and human beings are capable of by building the engines that will power discoveries and drive progress in a sustainable way. With modern human progress relying heavily on computers, the world has hit a dead end with traditional transistors and the prospect of constantly building data centers is an environmental nightmare. Lightmatter has created a solution in photonic computing: using photons instead of electrons to take advantage of their higher bandwidth.

Our company has combined electronics, photonics and new algorithms to create a next generation computing platform for artificial intelligence. Lightmatter’s new processor is faster, more efficient and cooler than anything created before.

Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work...work like building the world's first optical computers, consider joining the team at Lightmatter!

We are hiring a talented software engineer to help us build the next generation of AI processors. In this role, you will be responsible for developing a highly optimized computational framework for deep learning. You'll be working with deep learning scientists, as well as digital, analog, and photonic designers, to implement the features needed to accelerate the next generation of machine learning algorithms.

Responsibilities

• Develop systems software for integration between deep learning frameworks (e.g. Tensorflow) and hardware accelerators.
• Work with the compiler and machine learning teams to enable low-latency, high-throughput deep learning computation.
• Design a runtime environment that evaluates neural networks, allocates memory, and manages instructions.
• Develop firmware for managing board level hardware resources.
• Implement Linux device driver for an offline ASIC accelerator with high-speed interconnect.

Requirements

• BS or higher in computer/software engineering, electrical engineering, or related field.
• Experience with device driver and kernel side development is preferred.
• Strong understanding of computer architecture and hardware-software integration.
• Experience developing frameworks for offline accelerators e.g. FPGA or GPU.
• Highly proficient in C/C++ with experience in CUDA or OpenCL compiler directives.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Stock Option Plan