[Skip to main content](#main-content)

[ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/)

Meta Platforms · Menlo Park, CA

# Software Engineer, Systems ML

Menlo Park, CA Software Engineering 

Listed on Meta Platforms’s official careers site. Listed as of November 1, 2026. Check that it is still open and apply there.
[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2660908554412579/)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Software Engineer, Systems ML

## 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 and build developer tools across the MTIA tooling ecosystem, with a primary focus on debugging, sanitizer technology, and fault isolation for 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.

## Responsibilities
- Lead the design and development of MTIA's profiling and debugging tooling, including performance profiling, live debugging, and core dump for accelerator workloads
- Build tooling capabilities spanning performance profiling, kernel-level diagnostics, and multi-rank fault isolation
- Contribute broadly to the MTIA SW tooling infrastructure — profiling, performance debugging, memory analysis, monitoring, and reliability analysis for training and inference workloads
- Own significant components end-to-end, from technical design through implementation, production rollout, and long-term maintenance
- Collaborate closely with the MTIA compiler, runtime, kernel, and hardware teams to instrument the software stack with the hooks, sanitizers, and debuggers that are required Drive AI-native tooling approaches, leveraging automation and LLM-guided diagnostics to reduce time-to-root-cause
- Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and prioritize tooling investments
- Communicate architectural decisions through design documents and cross-team reviews; share debugging methodology and best practices with engineers across the MTIA stack

## Qualifications
- 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
- 4+ years of experience in systems software engineering, performance engineering, developer tooling, or a closely related field Experience building debugging, sanitiser, profiling, or diagnostic tools for complex software/hardware systems
- Proficiency in C++ and Python, including low-level systems programming and scripting for tool automation Experience working across multiple layers of a system stack (compiler, runtime, OS/driver, hardware)
- Track record of leading the technical design and delivery of tooling or infrastructure projects through to production deployment Experience debugging issues across application, runtime, and hardware boundaries, with the ability to trace issues across application, runtime, and hardware boundaries
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with accelerator ecosystems (GPU/CUDA, TPU, custom ASICs), including memory analysis, performance profiling, and runtime debugging using their toolchains (cuda-gdb, nsight-compute, nsight-systems)
- Familiarity with ML framework internals (PyTorch graph execution, torch.compile, operator dispatch) and AI compiler stacks (MLIR, LLVM, TVM, Triton)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with Linux kernel and driver-level debugging, hands-on experience with sanitizer and dynamic-analysis technology, or building comparable memory checking tools Experience working at the device-software boundary — accelerator runtime/driver internals, DMA and memory-mapped device behavior, on-device fault handling or firmware-assisted error reporting Experience with Linux debugging and profiling infrastructure (gdb, perf, eBPF, ftrace, coredump analysis, hardware performance counters) and familiarity with binary formats and debugging metadata (ELF/DWARF) Experience with compiler-based instrumentation and runtime shadow-memory techniques underlying sanitizers (LLVM instrumentation passes, interceptors, allocator red zones)
- Track record of building developer tools adopted by large engineering populations, ideally with contributions to open-source projects (LLVM sanitizers, gdb, Valgrind, Triton, etc.)
- Bachelor's degree + 5+ years, Master's degree + 3+ years, or PhD + 2+ years in systems software, developer tooling, or accelerator software development

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 25, 2026
- Last checked: Nov 1, 2026
- Listed for: 7 days
- Location: Menlo Park, CA[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2660908554412579/)

## Hiring at Meta Platforms
- Open jobs: 1,310
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 11, 2026

[All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/)

## More jobs at Meta Platforms

### [Director, Technical Program Management, Developer Infrastructure](https://jobs.opennash.com/companies/meta-platforms/jobs/fcf46b7a4370344a886d/)

Menlo Park, CA

### [Distinguished Software Engineer, Recommendation Systems (AI/ML)](https://jobs.opennash.com/companies/meta-platforms/jobs/1371d70db5c98ea4e4c5/)

Menlo Park, CA

### [Optical Engineer, RTP, Test Software Architecture and Optics NPI](https://jobs.opennash.com/companies/meta-platforms/jobs/8c290f563eb54060caca/)

Menlo Park, CA

### [Software Developer, GO Systems](https://jobs.opennash.com/companies/meta-platforms/jobs/a2537ff7a12a10b026e8/)

Menlo Park, CA

## Similar jobs at other companies

### [Software Systems Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/dc20eaeaf6645e664e84/)

Lockheed Martin · Littleton, CO

### [Software Engineer II - Operating Systems (OS) Software/Hardware Optimization](https://jobs.opennash.com/companies/microsoft/jobs/9dfe31e5f9775dd7b962/)

Microsoft · United States, Washington, Redmond

### [Senior Software Engineer, Networking Software Systems](https://jobs.opennash.com/companies/qualcomm/jobs/6fb248c49007f479715f/)

Qualcomm · Santa Clara, California, United States of America

### [Software Systems Testing Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/4e689ee82764dc9d7235/)

Lockheed Martin · Littleton, CO

### [Software Engineer (Systems) 3](https://jobs.opennash.com/companies/sanmina-sci/jobs/cbfbda784474da816978/)

Sanmina-SCI · Penang, MY

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

[ OpenNash ](https://opennash.com/)

AI-native services firm that builds custom software and 24/7 AI agents.

OpenNash Jobs is an OpenNash Applied AI project.
[Book time with OpenNash](https://calendly.com/opennash/new-meeting?hide_gdpr_banner=1)

Jobs
- [Search jobs](https://jobs.opennash.com/search/)
- [Companies](https://jobs.opennash.com/explore/)
- [Hiring report](https://jobs.opennash.com/reports/hiring/)
- [AI assistants](https://jobs.opennash.com/connect/)
- [How it works](https://jobs.opennash.com/methodology/)

OpenNash
- [opennash.com](https://opennash.com/)
- [Services](https://opennash.com/ai-agent-consulting/)
- [OpenNash CX](https://opennash.com/cx/)
- [AI Tools](https://opennash.com/ai-tools/)
- [Blog](https://opennash.com/blog/)
- [About](https://opennash.com/about/)

Contact
- [hello@opennash.com](mailto:hello@opennash.com)

- [LinkedIn](https://www.linkedin.com/company/opennash)

- [Support](https://jobs.opennash.com/support/)

- [Privacy](https://jobs.opennash.com/privacy/)

- [Terms](https://jobs.opennash.com/terms/)

© 2026 OpenNash, Inc. Company names and public job postings belong to their respective owners. Employers control source availability and application decisions.