Software Engineer, Systems Machine Learning

Meta; Austin (TX); On-site; USD 122,000 - 181,000; Full time

Job summary

Meta seeks a Software Engineer for the MTIA Software Tooling team to design, build, and maintain developer tools for MTIA AI accelerators. You will work across compilers, runtime, hardware, and ML frameworks to deliver a high-quality developer experience and scalable tooling for debugging, profiling, and observability.

You will own features end-to-end, collaborate with cross-functional partners, and help improve tooling for AI workloads on MTIA hardware at scale, including performance, memory,

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 2+ years of experience in software engineering with systems software or tooling.
• Proficiency in C++ and Python for systems-level programming.
• Experience across multiple layers of a system stack.

Responsibilities

• Design and develop software tools across the MTIA tooling ecosystem, including debugging, profiling, performance analysis, memory analysis, and monitoring infrastructure.
• Own features end-to-end from design through testing and deployment.
• Build tooling infra to enable efficient development, testing, and optimization of AI workloads on MTIA hardware.
• Collaborate with MTIA teams to integrate tooling hooks and support new platform capabilities.
• Identify gaps in tooling and propose productivity improvements.
• Contribute to design discussions and code reviews; write design docs for medium-scope projects.
• Partner with internal product teams to understand developer pain points and improve tool usability.

Skills

C++

Python

Systems software

Developer tooling

Distributed systems

Education

Bachelor's degree in Computer Science

Bachelor's degree in Computer Engineering

Bachelor's degree in a relevant technical field

Tools

gdb

perf

strace

eBPF

valgrind

LLVM

MLIR

TVM

PyTorch

TensorFlow

Job description

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.

Software Engineer, Systems Machine Learning Responsibilities:

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

Minimum Qualifications:

• 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
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 2+ years of experience in software engineering, with exposure to systems software, developer tooling, or infrastructure
• Proficiency in C++ and Python, including systems-level programming concepts
• Experience working across multiple layers of a system stack (e.g., application, runtime, OS/driver, or hardware interfaces)
• Track record of independently delivering software projects from design through production deployment
• Experience debugging and resolving issues in complex software systems (e.g., using log analysis, stack traces, or system-level diagnostic tools)

Preferred Qualifications:

• Exposure to accelerator ecosystems (GPU/CUDA, TPU, custom ASICs) or heterogeneous computing environments
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience building developer tools such as debuggers, profilers, build systems, CLI tools, monitoring dashboards, or diagnostic utilities
• Contributions to open-source projects demonstrating tooling or system software interest
• Experience in using data-driven methods to evaluate tooling effectiveness and to prioritize improvements
• Familiarity with Linux debugging and profiling tools (gdb, perf, strace, eBPF, valgrind) or similar diagnostic infrastructure
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Familiarity with ML frameworks (PyTorch, TensorFlow) or compiler infrastructure (LLVM, MLIR, TVM)
• Experience with distributed systems debugging, profiling, or monitoring at scale
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and affirming 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].

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.