1 day ago
Base Salary
$151k - $257k/yr
Responsibilities
- Lead the architecture and development of large-scale HPC and AI infrastructure for image-processing and machine-learning workloads.
- Design scalable distributed systems that combine traditional image processing with AI and deep-learning pipelines.
- Drive GPU-accelerated computing strategies and optimize compute, storage, and networking performance.
- Partner with hardware, algorithms, and product teams to deliver robust production platforms.
- Establish engineering practices for code quality, CI/CD, observability, performance tuning, and mission-critical system reliability.
- Mentor and develop engineers while providing technical guidance, coaching, and growth opportunities.
- Serve as a technical decision-maker influencing architecture and long-term platform strategy.
Requirements
- 10+ years of software engineering experience, including leading and scaling technical teams.
- Proven success building distributed systems in HPC, AI/ML, or cloud-native environments.
- Track record delivering performance-critical infrastructure at scale.
- Experience mentoring and developing early- and mid-career engineers.
- Deep understanding of distributed systems, parallel computing, and Linux systems programming.
- Strong programming skills in C++, Python, or similar systems-level languages.
- Experience with GPU computing using CUDA or ROCm and modern AI frameworks such as PyTorch or TensorFlow.
- Familiarity with high-performance storage systems, networking, and data pipelines.
- Strong foundation in CI/CD, DevOps, and production system reliability.
- Background in image processing, computer vision, or scientific computing is a bonus.
- Experience supporting hybrid HPC and AI workloads in production environments is a bonus.
- Minimum education and experience: doctorate with 5 years of related work experience, master's degree with 8 years, or bachelor's degree with 12 years.
- Strong communication skills and the ability to influence engineering and product stakeholders.
Benefits
- Base pay range is $151,100.00-$256,900.00 per year.
- Benefits may include medical, dental, vision, life, voluntary benefits, 401(k) matching, ESPP, student debt assistance, tuition reimbursement, professional development, financial planning, wellness benefits, paid time off, paid holidays, and family care and bonding leave.
- The primary location is KLA's Ann Arbor, Michigan site.
- This is a future-opportunities talent-community posting rather than a current opening.
About KLA
KLA builds process control, inspection and metrology systems used to manufacture semiconductor wafers, reticles, advanced packaging, printed circuit boards, and displays, and sells related software and services to chipmakers and electronics manufacturers. Its business model centers on capital equipment sales plus service and support contracts. Headquartered in Milpitas, California, KLA traces its origins to the 1997 KLA-Tencor merger and is publicly traded on NASDAQ under the ticker KLAC.