Software Engineer, Systems Machine Learning

Meta; Sunnyvale (CA); On-site; USD 122,000 - 181,000; Full time

Job summary

Meta seeks a Software Engineer to join the MTIA Software Tooling team, building tooling for Meta's in-house AI accelerator hardware. You will design, implement, and maintain developer tools enabling debugging, profiling, memory analysis, and monitoring of AI workloads at scale.

You will work at the intersection of compilers, runtime, hardware, and ML frameworks, collaborating with cross-functional partners to deliver a high-quality developer experience for Meta's MTIA ecosystem.

Qualifications

• Bachelor's degree required before joining Meta.
• 2+ years of software engineering experience with systems software
• Proficiency in C++ and Python, including systems-level programming

Responsibilities

• Design and develop tools across MTIA tooling ecosystem (debugging, profiling, performance analysis, memory analysis, monitoring).
• Own features end-to-end from design to deployment.
• Build tooling infrastructure to enable AI workload development on MTIA hardware.
• Collaborate with MTIA teams to integrate tooling hooks for new platform capabilities.
• Identify gaps and propose improvements to developer productivity.
• Contribute to design discussions and code reviews.
• Collaborate with internal product teams across advertising, recommendations, and generative AI.

Skills

C++

Python

Systems software

Developer tooling

End-to-end delivery

Education

Bachelor's degree in CS/CE

Tools

GDB

Perf

Strace

eBPF

Valgrind

Job description

Summary

Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem for Meta's in-house AI accelerator ASICs. The Tooling team provides debugging, profiling, memory analysis, and monitoring capabilities for the whole MTIA Ecosystem, redefining ML accelerator tooling by leveraging Meta's full-stack ownership from silicon specs to fleet observability.In this role, you will design, build, and maintain developer tools that help engineers debug, profile, measure, and monitor AI workloads running on MTIA hardware at scale. You will work at the intersection of compilers, runtime, hardware, and ML frameworks, collaborating with cross-functional partners to deliver a high-quality developer experience for Meta's custom AI accelerators.

Required Skills

Software Engineer, Systems Machine Learning Responsibilities:

1. Design and develop software tools across the MTIA tooling ecosystem, including debugging, profiling, performance analysis, memory analysis, and monitoring infrastructure
2. Own features and components end-to-end, from design through implementation, testing, and deployment
3. Build and improve tooling infrastructure that enables engineers to efficiently develop, test, and optimize AI workloads on MTIA hardware
4. Collaborate with the MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks and support new platform capabilities
5. Proactively identify gaps in the tooling ecosystem and propose solutions to improve developer productivity
6. Contribute to technical design discussions, write design documents for medium-scope projects, and participate in code reviews
7. Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and improve tool usability

Minimum Qualifications

1. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
4. 2+ years of experience in software engineering, with exposure to systems software, developer tooling, or infrastructure
5. Proficiency in C++ and Python, including systems-level programming concepts
6. Experience working across multiple layers of a system stack (e.g., application, runtime, OS/driver, or hardware interfaces)
7. Track record of independently delivering software projects from design through production deployment
8. Experience debugging and resolving issues in complex software systems (e.g., using log analysis, stack traces, or system-level diagnostic tools)

Preferred Qualifications

1. Exposure to accelerator ecosystems (GPU/CUDA, TPU, custom ASICs) or heterogeneous computing environments
2. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
3. Contributions to open-source projects demonstrating tooling or system software interest
4. Experience in using data-driven methods to evaluate tooling effectiveness and to prioritize improvements
5. Familiarity with Linux debugging and profiling tools (gdb, perf, strace, eBPF, valgrind) or similar diagnostic infrastructure
6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
7. Experience with distributed systems debugging, profiling, or monitoring at scale
8. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Public Compensation

$121,992/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].