Sr Staff Chip Engineer

Sr Staff Chip Engineer

Lightmatter is a photonic computer company that is redefining what computers and human beings are capable of by building the engines that will drive discoveries and progress sustainably. 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 builds chips for artificial intelligence computing. Our architecture leverages the unique properties of light to enable a fast and efficient compute platform. We created a solution in photonic computing: using photons instead of electrons to take advantage of their higher bandwidth.

If you have a passion for working cross-functionally, leading projects to success, and doing impactful work, like helping build the world's first optical computers, you should join the team at Lightmatter!

We are hiring a Sr Staff Chip Engineer to join our Chip team to guide the next generations of Lightmatter's innovative AI/ML silicon designs. If you have high-performance and/or AI/ML accelerator chip design experience, this would be a great opportunity!

In this job you will work in constant collaboration with hardware and software engineering teams across the company to create chips and systems that address a broad range of generative AI workloads. You'll be understanding the target workloads, managing technical risks, and innovating to solve problems these new applications face. You will work with company and engineering leadership to develop and manage the roadmap.

Responsibilities:

• Own the chip architecture and roadmap for the AI Inference product line.
• Work with hardware, software, program management and supply chain teams to define state-of-the-art silicon products.
• Understand AI/ML models for existing and upcoming applications in terms of hardware acceleration architecture. Specifically, translate AI model architecture trends to specific hardware architecture requirements.
• Develop and maintain competitive analysis of the AI/ML hardware landscape relative to Envise product line.
• Collaborate with silicon design, verification and implementation teams to build efficient and performant chips.
• Communicate the value proposition of Envise internally and externally.
• Collaborate with sales and field teams to drive customer engagements.

Requirements

Requirements:

• 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
• At least 3+ years of previous experience in high-performance or AI/ML semiconductor chip architecture resulting in silicon products.
• Experience in Python, C++ or other performance simulation tools.
• Strong teamwork skills with the ability to collaborate with multiple functional teams across a variety of fields.
• Ability to react to change and thrive in a fast-paced (startup) environment.
• Attention to detail and strong ability to multitask.
• Experience influencing decisions and providing technical leadership in a matrix environment.
• Enthusiastic, responsive, and passionate about finding innovative solutions to challenges.
• Excellent communications and technical presentation skills
• Previous experience working on startups is a plus

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
• Commuter/Transit Benefits
• Stock Option Plan

Base Compensation Range: $200.000 - $240,000. 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.