Location:Santa Clara, CA, headquarters, but open to other locations within the US/Canada.
The role: Principal Software Engineer - SDK & Lowering Stack
What you will do:- Help architect and develop the kernel authoring SDK that targets our novel Corsair dataflow architecture.
- Champion software engineering best practices across the team by establishing robust CI/CD pipelines, driving automated testing, and enforcing rigorous code review processes.
- Build intuitive, domain-specific APIs, determining the optimal boundaries for kernel developers and compiler teams.
- Create development tools to be used in kernel authoring and modeling lowering flows.
- Lead and mentor junior engineers, fostering a culture of technical excellence, accountability, and collaborative problem-solving.
- Leverage systems engineering ability to understand complex interactions between hardware and software components, proposing and implementing solutions integral to the software stack.
- Take ownership of delivering solutions by interacting with stakeholders, generating requirements, documenting designs, implementing, debugging, and deploying.
- Build and scale software deliverables in a tight development window.
Minimum experience:- MS in Computer Engineering, Math, Physics, or a related degree with 8 years of industry experience or a PhD in Computer Engineering, Math, Physics, or a related degree with 4 years of industry experience.
- Proficient in C/C++ and Python development in a Linux environment and using standard development tools.
- Proven track record of driving software engineering best practices, including CI/CD integration, continuous testing, and leading comprehensive code reviews.
- Deep grasp of computer architecture, data structures, system software, and machine learning fundamentals.
- Demonstrated experience designing high-quality, scalable APIs and SDKs, with a comprehensive systems engineering mindset to solve end-to-end problems.
- Self-motivated team player with a profound sense of ownership and leadership.
Preferred experience:- Proven experience writing and optimizing high-performance kernels targeting GPUs, TPUs, or custom ML accelerators.
- Background working in High-Performance Computing (HPC) environments, managing large-scale distributed workloads and resource optimization.
- Experience developing ML compilers and working with intermediate representations or algorithms (e.g., MLIR, LLVM, TVM, Glow, etc.).
- Familiarity with leveraging AI-assisted coding tools to accelerate software development and elevate code quality.
- Prior startup, small team, or incubation experience.
- Work experience at a cloud provider or AI compute/subsystem company.
