Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $295K – $380K, with generous equity, performance-related bonuses for eligible employees, and the following benefits:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
About the Team
Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. The team builds the performance-critical systems that allow OpenAI's models to run efficiently across a diverse set of AI accelerators.
About the Role
As a Software Engineer, Trainium, you will help bring OpenAI's inference workloads to AWS Trainium and build the software stack required to run cutting-edge frontier models efficiently on the platform. This is a deeply technical, cross-stack role spanning kernels, compilers, and model execution.
In This Role, You Will
- Build and optimize OpenAI's inference stack for AWS Trainium.
- Develop high-performance kernels for critical model operations and workloads.
- Extend and improve compiler support to efficiently target Trainium hardware.
- Build the systems necessary to execute and optimize the model forward pass on Trainium.
- Profile workloads and identify bottlenecks across kernels, compiler-generated code, runtime, and model execution.
- Partner with inference and ML systems teams to bring new models and architectures onto Trainium.
- Work across the hardware/software boundary to unlock performance and capabilities from specialized AI accelerators.
- Own complex performance and systems problems end-to-end, from investigation through production deployment.
We're Looking for a Track Record Of
- 3+ years of relevant engineering experience, ideally in ML systems, compilers, kernels, runtimes, or performance engineering.
- Strong systems programming fundamentals and experience writing performance-critical software.
- Experience working with GPU, TPU, Trainium, or other specialized accelerator architectures.
- Ability to reason about performance across multiple layers of the stack, from hardware and kernels through compilers and ML frameworks.
- Owning technically ambiguous problems end-to-end and learning new hardware and software domains as needed.