Lemurian Labs Logo

Lemurian Labs

Compiler Code Gen Engineer

Reposted 16 Days Ago
Be an Early Applicant
Hybrid
8 Locations
Mid level
Hybrid
8 Locations
Mid level
Design and develop a portable compiler for AI applications, focusing on resource efficiency and scalability, while improving architecture based on machine learning advancements.
The summary above was generated by AI
At Lemurian Labs, we’re on a mission to bring the power of AI to everyone—without leaving a massive environmental footprint. We care deeply about the impact AI has on our society and planet, and we’re building a rock-solid foundation for its future, ensuring AI grows sustainably and responsibly. Because let’s face it, what good is innovation if it doesn’t help the world?

We are building a high-performance, portable compiler that lets developers “build once, deploy anywhere.” Yes, anywhere. We’re talking about seamless cross-platform compatibility, so you can train your models in the cloud, deploy them to the edge, and everything in between—all while optimizing for resource efficiency and scalability.

If the idea of sustainably scaling AI motivates you and you’re excited about making AI development both powerful and accessible, then we’d love to have you. Join us at Lemurian Labs, where you can have fun building the future—without leaving a mess behind.

Key Duties

  • Design, develop, maintain and improve our heterogeneous AI compiler.
  • Design and implement new capabilities in our compiler based on our novel compiler architecture.
  • Propose improvements to and expansions of our novel compiler architecture with respect to new advancements in machine learning model architectures and hardware.
  • Use the latest techniques in parallelization and partitioning to automate generation and exploit highly optimized kernels.
  • Generate and use performance data to identify opportunities and drive improvements.
  • Work with our product team to understand the evolving needs of ML engineers and drive improvements in architecture.

Essential Skills and Experience

  • BS degree in computer science, computer engineering, electrical engineering, or equivalent practical experience
  • 4+ years of experience working with compilers.
  • Very strong knowledge of compiler algorithms and data structures.
  • Experience and interest in low level code generation, object file manipulation and target specific optimizations
  • 4+ years of experience with C/C++
  • Strong written and oral communication, and able to write clear and concise documentation
  • Team first attitude
  • Detail oriented

Preferred Skills and Experience

  • Masters or PhD degree in computer science, computer engineering, electrical engineering, or equivalent practical experience.
  • Knowledge of traditional compiler techniques; instruction selection, register allocation and traditional analysis like dominance, def-use et al.
  • Knowledge of calling conventions and APIs, linking and relocations.
  • Working knowledge of LLVM.
  • Experience with loop optimizations (vectorization, unrolling, fusion, parallelization, etc).
  • Experience with machine learning workloads and their demands on hardware.

This is an opportunity to shape the future of AI software and help developers and enterprises unlock new possibilities. If you’re passionate about AI infrastructure, software optimization, and building transformative products, let’s talk!

Salary depends on experience and geographical location. 

This salary range may be inclusive of several career levels and will be narrowed during the interview process based on a number of factors, such as candidate’s experience, knowledge, skills and abilities, as well as internal equity among our team. 

Additional benefits for this role may include: equity, company bonus opportunities; unlimited PTO; medical, dental, and vision benefits; retirement savings plan; and supplemental wellness benefits.

Lemurian Labs ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

EOE

Top Skills

C/C++
Llvm

Lemurian Labs Menlo Park, California, USA Office

2730 Sand Hill Rd, Menlo Park, California, United States, 94025

Similar Jobs

An Hour Ago
Hybrid
Burlington, ON, CAN
Mid level
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Provide technical application assistance, troubleshoot application issues, respond to customer requests, and communicate with IT groups while maintaining excellent customer service in a hybrid work environment.
Top Skills: AWSAzureBashC++CiscoDb2GlobalscapeJavaJbossLinuxLoad BalancersMicrosoft SharepointPostgresPythonSplunkSpring BootSQL ServerSterling File GatewayTcp/IpTomcatTruesightWindows
2 Hours Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead a Data Engineering team to build Mastercard's global marketing data platform, focusing on data quality, governance, and developing scalable data solutions.
Top Skills: Apache AirflowApache NifiAWSDatabricksJavaKafkaPythonScalaSpark
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Field Sales Director is responsible for acquiring new business in enterprise accounts, engaging with senior decision-makers, and surpassing sales targets for risk and security solutions.
Top Skills: Cyber Security SolutionsEnterprise Security ApplicationsSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account