Staff Software Engineer- Test

Posted 11 Days Ago
Be an Early Applicant
Mountain View, CA
In-Office
1-2 Annually
Senior level
Artificial Intelligence • Hardware • Machine Learning • Software • Semiconductor
We’re Lightmatter, the photonic (super)computer company.
The Role
Lead the development of a High Temperature Operating Life (HTOL) Test Software system, focusing on scalable architecture, containerized application development, and data management.
Summary Generated by Built In

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

In this role, you will lead the development of a comprehensive High Temperature Operating Life (HTOL) Test Software system. Your work will involve designing, implementing, and maintaining a scalable multi-chassis testing platform that performs automated stress and performance testing with real-time monitoring and comprehensive data collection capabilities.

Responsibilities

  • System Design & Development: Architect, build, and maintain scalable architecture for a multi-chassis HTOL testing system.
  • Orchestration: Develop containerized applications for deployment at scale using Python-based services for chassis coordination and management.
  • Hardware Monitoring & Management: Create hardware abstraction layers and develop APIs that represent hardware systems, providing essential capabilities for monitoring and management of those systems.
  • Manage Data: Develop data collection pipelines handling sensor data and performance metrics.
  • Deploy and Update Software: Create automated deployment and testing pipelines using CI/CD best practices.
  • Collaboration with Front-End Teams: Work closely with the frontend team to ensure seamless integration of backend APIs with applications.
  • Testing & Documentation: Write automated tests to monitor the reliability and performance of the system; maintain clear and concise documentation for troubleshooting.
  • Performance and Reliability: Continuously monitor and optimize performance to reduce response times and improve system scalability; ensure uptime in production environments; establish capacity planning procedures.

Required Skills

  • BS and 12+ years of experience or MS and 8+ years of experience; degree in Computer Science, Electrical Engineering, or related field.
  • Expert level Python, knowledge of web frameworks such as FastAPI, Flask, Django; strong understanding of API design principles and best practices.
  • Experience with containerization and orchestration technologies such as Docker and Docker Compose.
  • Experience with one or more databases such as MongoDB, PostgreSQL, Redis, time-series databases.
  • Familiarity with testing frameworks such as pytest and integration testing, performance testing tools.
  • Experience with CI/CD tools such as GitHub Actions/Runners and Infrastructure as Code tools such as Ansible.
  • Experience with hardware integration or embedded systems; interfacing with BMCs, FPGAs, temperature sensors, thermal management, power management systems.

Nice-to-have skills

  • Familiarity with real-time data handling and communication protocols, such as gRPC, TCP/IP, WebSockets, message brokers or similar technologies.
  • Experience with high-availability, mission-critical systems.
  • Experience in the Semiconductor Industry: wafer-level testing, burn-in systems, reliability testing.
  • Professional Certifications: Agile/Scrum certifications.
  • Experience building backend services for web applications like Next.js, proficiency in JavaScript/TypeScript.

We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.

Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution.
$1$2 USD
Benefits
  • Comprehensive Health Care Plan (Medical, Dental & Vision)
  • Retirement Savings Matching Program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Generous Time Off (Vacation, Sick & Public Holidays)
  • Paid Family Leave
  • Short Term & Long Term Disability
  • Training & Development
  • Commuter Benefits
  • Flexible, hybrid workplace model
  • Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status. 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.

Export Control

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws. 

Top Skills

Ansible
Django
Docker
Docker Compose
Fastapi
Flask
Github Actions
MongoDB
Postgres
Pytest
Python
Redis
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The Company
HQ: Boston, MA
105 Employees
Year Founded: 2017

What We Do

Lightmatter is a startup photonics company that has pioneered a new paradigm in processor chip architecture that uses photons instead of electrons. Now the leader in the photonic AI compute “space race,” this new class of high performance semiconductors is the foundation of Lightmatter’s mission to enable the growth of computing, reduce harmful emissions associated with this growth, and democratize computing for all.

Lightmatter's technology accelerates critical operations in deep neural networks, using an array of programmable photonic elements fabricated alongside transistors in conventional computer chip fabrication processes. Our close-knit team of engineers has created an integrated photonics chip and ultra-high performance interconnect that is faster, more efficient, and cooler than anything else on earth (or anything ever experienced before) to power the next giant leaps in human progress.

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