Technical Lead, Software Development (High Performance Computing)
Job Summary
Company Overview
Group/Division
Job Description/Preferred Qualifications
About the Company
KLA is a global leader in yield management and process control solutions for the semiconductor industry. With decades of innovation KLA enables the worlds top chipmakers to accelerate nextgeneration device manufacturing with precision and efficiency. Our software teams build advanced platforms powering electron-beam inspection systemssolving complex physics and dataintensive challenges using high-performance scalable computing.
Role Overview
This role focuses on designing developing and optimizing distributed high-throughput software systems operating on advanced HPC infrastructure. The position requires strong technical ownership hands-on Linux C development skills deep performance engineering experience and collaboration across multidisciplinary teams.
Key Responsibilities
- Design and develop high-performance distributed software systems for large-scale HPC environments.
- Build and optimize Linux C/C components for compute-intensive and timing-critical workloads.
- Implement parallel/distributed computing frameworks using MPI OpenMP UCX or similar technologies.
- Containerize and orchestrate compute workloads using Docker/Singularity with Kubernetes or SLURM.
- Profile debug and tune system performance using VTune Nsight perf gdb and related tools.
- Drive architectural discussions code quality and engineering best practices.
- Collaborate with algorithms hardware and systems teams to deliver tightly integrated solutions.
- Mentor team members in HPC concepts system debugging and performance optimization.
Required Qualifications
- Strong hands-on expertise in C/C development on Linux including systems-level programming.
- Proven experience building or optimizing HPC or distributed computing systems.
- Solid understanding of concurrency multi-threading networking IPC and Linux OS internals.
- Experience with profiling/debugging tools such as VTune Nsight perf ftrace gdb.
- Experience with Docker/Singularity and orchestration frameworks (Kubernetes SLURM).
- Knowledge of CPU/GPU architectures high-bandwidth interconnects and distributed storage systems.
Preferred Qualifications
- Experience using or optimizing MPI OpenMP UCX SHMEM or similar parallel programming models.
- Exposure to GPU compute frameworks (CUDA/RoC) or GPU-aware communication libraries.
- Familiarity with deep learning or ML pipeline workflows.
- Proficiency in Python and Bash scripting.
- Background in distributed microservices observability tools or large-scale system deployments.
Education & Experience
- Bachelors or Masters degree.
- Typically 6 years of hands-on experience in HPC Linux systems programming or distributed systems development.
Minimum Qualifications
Education & Experience
- Bachelors or Masters degree.
- Typically 6 years of hands-on experience in HPC Linux systems programming or distributed systems development.
We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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Key Skills
About Company
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen. Who are we? We research, develop, and manufacture t ... View more