Hardware Performance Modeling Engineer (Boston or Bay Area)

Lightmatter builds chips for artificial intelligence computing. 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 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 the next generation of AI processors and systems. In this role, you will be responsible for developing tools that enable the design of high performance ML accelerators and an optimized software stack. You'll be working with multiple software teams, as well as digital, analog, and photonic designers, to ensure that both our software and hardware can achieve a generational leap in ML performance.

Responsibilities

• Design, development, and maintenance of functional and performance models of upcoming hardware
• Participate in the co-design process by working closely with hardware teams to iterate on early performance models, adding fidelity as designs progress
• Collaborate with machine learning teams to construct and evaluate the performance of machine learning workloads
• Build cycle approximate performance and bit-accurate functional models that further the co-design process and allow the software teams to build and optimize our next generation software stack
• Collaborate with Design Verification teams to validate hardware against the simulators
• Contribute to a system-level simulator that integrates the accelerator simulator into a larger system simulator
• Support the development and optimization of our software stack by diagnosing and fixing issues across the simulator and software stack

Requirements

• BS in computer/software engineering, electrical engineering, or related field +8 years of experience, or MS +6 years of experience
• 8+ years of industry experience in mapping algorithms to hardware accelerators, hardware modeling, computer architecture, or related fields
• Proficient with C++ and Python
• Strong understanding of computer architecture

Preferred Qualifications

• Familiarity with machine learning workloads
• Experience in mapping software algorithms to hardware accelerators
• Experience with modeling and analysis of machine learning accelerator architectures
• Proficient developing in a Linux-based environment
• Experience working with or modeling distributed hardware and workloads

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

Base Compensation Range: $180,000 to $200,000 . In accordance with the Colorado, California and New York law, the range provided is Lightmatter's reasonable estimate of the compensation for this role. Actual pay will be based on several factors including work experience, location and education.

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.