Principal Software Engineer (SDK & Lowering Stack)
Posted Updated
- 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
Benefits
- Equity
- Health care
- Flexible time-off
- Paid paternity leave
- 401k retirement plan
- Remote & hybrid working model
- Work with world-leading engineers and researchers
- On-site fitness center
- Free food and snacks
- Peer coaching & development
- Happy hours
- Team-building activities
- 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
- 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
- Self-motivated team player with a profound sense of ownership and leadership
- Proficient in C/C++ and Python development in a Linux environment and using standard development tools
- Demonstrated experience designing high-quality, scalable APIs and SDKs, with a comprehensive systems engineering mindset to solve end-to-end problems
- Proven experience writing and optimizing high-performance kernels targeting GPUs, TPUs, or custom ML accelerators
- Experience developing ML compilers and working with intermediate representations or algorithms (e.g., MLIR, LLVM, TVM, Glow, etc.)
- Background working in High-Performance Computing (HPC) environments, managing large-scale distributed workloads and resource optimization
- Familiarity with leveraging AI-assisted coding tools to accelerate software development and elevate code quality
- Work experience at a cloud provider or AI compute/subsystem company
- Prior startup, small team, or incubation experience