At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster.
We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law.
We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us.
This role sits at the intersection of systems programming and developer tooling. You'll work closely with our compiler engineers to surface server-side telemetry through intuitive client-side interfaces, ultimately creating a best-in-class development experience for our users.
- Design and build developer tools for profiling, debugging, and performance introspection across our compiler stack.
- Create client-side tooling that transforms server-side compiler telemetry into clear, actionable information for engineers.
- Develop interfaces that expose hardware performance metrics, and interrupt data in meaningful ways.
- Build GPU debugging capabilities and visualization tools to help engineers understand execution on heterogeneous hardware.
- Define formats and protocols for debug information exchange, working with standard debugger formats (DWARF, JTAG) and object file formats (ELF, COFF).
- Collaborate with internal engineering teams to understand their needs and iterate on tooling, with a path toward external customer-facing tools.
- 3+ years of professional experience in systems-level software development.
- Strong proficiency in C++ with experience writing performance-critical code.
- Working knowledge of assembly language and low-level debugging techniques.
- Familiarity with debugger formats (DWARF, JTAG) and object file formats (ELF, COFF).
- Understanding of profiling methodologies and performance analysis tools.
- Ability to work on-site at our Toronto or Santa Clara office.
- Experience with GPU programming and debugging (CUDA, ROCm, or similar).
- Experience with OS-level interfaces including I/O subsystems and interrupt handling.
- Background in compiler development or toolchain infrastructure.
- Experience building developer-facing tools or IDEs.
- Contributions to open-source debugging or profiling tools.
- Work at the intersection of compilers, hardware, and developer experience — a genuinely rare combination.
- Build tools that developers will rely on every day, with real ownership from day one.
- Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits.
Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background.
Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
Skills Required
- 3+ years of professional experience in systems-level software development
- Strong proficiency in C++ with experience writing performance-critical code
- Working knowledge of assembly language and low-level debugging techniques
- Familiarity with debugger formats (DWARF, JTAG) and object file formats (ELF, COFF)
- Understanding of profiling methodologies and performance analysis tools
- Ability to work on-site at Toronto or Santa Clara office
- Experience with GPU programming and debugging (CUDA, ROCm, or similar)
- Experience with OS-level interfaces including I/O subsystems and interrupt handling
- Background in compiler development or toolchain infrastructure
- Experience building developer-facing tools or IDEs
- Contributions to open-source debugging or profiling tools
What We Do
At Lemurian Labs our focus is on unleashing the capabilities of AI for the benefit of humanity. To fulfill this purpose we are developing a full stack solution consisting of software and hardware that is capable of orders of magnitude better performance and efficiency than legacy solutions, while being designed for scalability. There are massive shifts underway moving us from Software 1.0 to Software 2.0 to Software 3.0 and onwards, but to realize its true benefits we need fundamentally new hardware and systems that can keep up with the changing compute demands and simultaneously bringing down costs. We are developing software and hardware designed from first principles to deliver unprecedented realizable performance/watt and enable the next generation of AI workloads. Our diverse team of technologists have decades of experience at the frontiers of high performance computing, digital arithmetic, cryptography, artificial intelligence, robotics, and networking. There is a lot of talk about what the technology of tomorrow will look like and there are a number of companies developing it. At Lemurian, we believe tomorrow is so yesterday. We are developing the technology for the day after tomorrow. We are Lemurian Labs. Welcome to the future of artificial intelligence and computing.









