Job Information
Lightmatter Staff Software Engineer- ML Hardware Modeling (Boston and Mountain View) in Boston, Massachusetts
Staff Software Engineer - ML Hardware Modeling
Lightmatter builds chips that enable extreme-scale artificial intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter!
We are looking for talented software engineers to help us build our high-performance silicon-photonics-based network fabric for large-scale distributed systems. You will work closely with our software and hardware teams to define and optimize the features needed to accelerate the next generation of machine learning algorithms.
Lightmatter’s unique technology has the potential to alter the architecture of large-scale computers. In this role, you will be responsible for simulations and analysis of design concepts and planned hardware at multiple levels of scale and detail that will play a key role in the hardware-software codesign of future systems.
Responsibilities
Design, development, maintenance of performance models for design concepts and planned hardware at both the subsystem and system levels
Participate in the co-design process by working closely with both hardware and software teams by providing initial pathfinding analysis, developing early analytical models, and more detailed event-based simulations, and improving fidelity as designs progress
Collaborate with machine learning and compiler teams to construct and evaluate the performance of machine learning workload.
Requirements
Master’s degree or a PhD with one year of experience in computer/software engineering, electrical engineering, or related field
5+ years of industry experience in hardware modeling, system simulation, computer architecture, or related fields
Proficient with C++ and Python
2+ years of experience with modeling and large-scale distributed systems
Preferred Qualifications
Familiarity with machine inference and training learning workloads
Experience with modeling and analysis of machine learning accelerator architectures
Proficient in a Linux-based environment
Benefits
Comprehensive Health Care Plan (Medical, Dental & Vision)
401k matching
Life Insurance (Basic, Voluntary & AD&D)
Generous Time Off (Vacation, Sick & Public Holidays)
Paid Family Leave
Short Term & Long Term Disability
Training & Development
Flexible, hybrid workplace model
Stock Option Plan
We offer competitive compensation. The base salary range for this role, inclusive of all US locations, is $155,000-$228,000. Your base salary will be determined based on location, experience, educational background, and market data.
Lightmatter recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.