Kennametal
Production Systems Engineer, AI Systems
Job Description
RTP Engineers have a large swath of XFN partners they work closely with e.g. HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers.Production Systems Engineer, AI Systems Responsibilities
- GPU Subject Matter Expert (SME) with knowledge of hardware technology/collective communications helping drive GPU validation across AI Platforms as well as large cluster initiatives
- Contribute to new feature/technology development/validation across hardware/software stack
- Drive hacks for future technology explorations in AI space
- Leverage deep understanding of HW/SW systems to execute full product life-cycles (prototyping, deployment, and support)
- Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders
- Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement
- Develop visibility through data visualization and implement systemic solutions to hardware health issues
- Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues
Minimum Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 10+ years of work experience in one or more domains such as: ASIC development (Silicon design, bringup/characterization, deployment), compute (ARM, x86), AI-ML hardware/software (GPUs, TPUs, Communication Libraries), networking (e.g. Switches, NICs), server architecture
- Knowledge of server architecture and components across Compute/Storage/AI Systems
- Experience troubleshooting problems at system level, crossing across multiple components, as well as hardware/ software boundaries
- 5+ years of experience supporting hardware design teams (silicon design or datacenter platform design: compute, storage, etc.) in end-to-end product development cycles
- 5+ years of experience in high-impact/high profile/at scale project leadership and ownership
Preferred Qualifications
- 5+ years of experience with one of the following AI systems spaces: Accelerator (GPU/ASIC) design/bring up, Kernel development, Performance optimization (e.g., NVIDIA, AMD, Intel, or other misc accelerator), communication libraries (e.g., NCCL, RCCL, MPI), performance enablement, tracing, profiling and debugging
- Experience with architecture of disaggregated systems at scale
- Experience supporting internal/external customers running large scale AI Training jobs
LocationsAbout 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [email protected]. US$191,000/year to US$262,000/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.