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Python Phd Hpc Jobs in Michigan (NOW HIRING)

... Shell and Python • Strong understanding of HPC hardware platforms (servers, GPUs, networking ... a PhD with 3 years experience; or equivalent experience. Preferred : • Strong DevOps and ...

Strong scripting skills in Shell and Python * Strong understanding of HPC hardware platforms ... PhD with 3 years experience; or equivalent experience. Base Pay Range: $129,600.00 - $220,300.00 ...

Strong scripting skills in Shell and Python * Strong understanding of HPC hardware platforms ... PhD with 3 years experience; or equivalent experience. Base Pay Range: $129,600.00 - $220,300.00 ...

Python Phd Hpc information

What are the key skills and qualifications needed to thrive as a Python PhD HPC (High Performance Computing) specialist, and why are they important?

To excel as a Python PhD HPC specialist, you need advanced knowledge of Python programming, parallel computing concepts, and a doctoral degree in a computationally intensive field. Familiarity with HPC clusters, job schedulers like SLURM, and libraries such as NumPy, SciPy, and MPI for Python is typically required. Strong analytical thinking, problem-solving, and collaboration skills set candidates apart in this role. These competencies ensure efficient development, optimization, and deployment of large-scale computational models that drive scientific research and innovation.

What are the typical challenges faced by a Python PhD HPC professional when working on large-scale computational projects?

Professionals in a Python PhD HPC role often encounter challenges related to optimizing Python code for high-performance computing environments, particularly when scaling computations across multiple nodes or clusters. Managing memory usage, debugging parallel code, and ensuring compatibility with various HPC libraries and frameworks are common hurdles. Additionally, effective collaboration with interdisciplinary teams—such as domain scientists, system administrators, and data engineers—is crucial for project success. Staying updated with advancements in both Python and HPC technologies also requires ongoing learning and adaptability.

What is a Python PhD HPC specialist?

A Python PhD HPC specialist is a professional with a doctoral degree who uses the Python programming language to develop and optimize high-performance computing (HPC) applications. These specialists often work on complex scientific or engineering problems that require significant computational resources, such as simulations, data analysis, or machine learning at scale. They possess deep expertise in both Python programming and HPC environments, including parallel computing, distributed systems, and cluster management. Their work often bridges the gap between theoretical research and practical implementation on supercomputers or large compute clusters.
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Sr. HPC Systems Architect (Linux)

Sr. HPC Systems Architect (Linux)

KLA

Ann Arbor, MI • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. The Sr. HPC Systems Architect role provides senior technical leadership for the architecture, deployment, and long-term scalability of large-scale HPC storage and compute platforms, emphasizing deep technical ownership and solving sophisticated infrastructure challenges.
Responsibilities:
• Lead the design, implementation, and ongoing support of high-performance compute (HPC) clusters, taking accountability for system performance, reliability, and scalability
• Serve as a technical authority for HPC storage, with deep hands-on expertise in parallel file systems such as Lustre, GPFS, and BeeGFS
• Apply sophisticated systems knowledge across CPU and GPU architectures, high-bandwidth interconnects, and robust storage subsystems to deliver balanced, high-performance solutions
• Lead the creation of hardware BOMs for HPC clusters, working directly with vendors and coordinating hardware release activities
• Design, configure, and optimize Linux operating systems for HPC environments.
• Translate project specifications and performance requirements into subsystem and system-level designs, driving execution while meeting technical and schedule commitments
• Support the design, release, and transition of new systems to manufacturing and customers, providing high-quality golden images, procedures, scripts, and documentation
• Lead EOL part re-qualification activities to ensure long-term system viability and supportability
Qualifications:
Required:
• Proven experience with HPC systems and Linux platform.
• Strong, distro‑agnostic Linux experience (Rocky, RHEL, SuSE, Ubuntu)
• Strong scripting skills in Shell and Python
• Strong understanding of HPC hardware platforms (servers, GPUs, networking, storage, BIOS/BMC)
• Advanced Linux systems knowledge (PXE/netboot, systemd, HA concepts)
• Solid networking fundamentals (TCP/IP, DNS, DHCP, LDAP, HTTP)
• Experience with configuration management and automation (Salt, Ansible, Puppet, Chef, etc.)
• Interest in HPC storage
• Requires minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
Preferred:
• Strong DevOps and automation mentality (CI/CD pipelines, Git, infrastructure as code)
• Experience with containers for HPC (Singularity, Docker)
• Monitoring and observability experience (Prometheus, Grafana)
• Familiarity with Apache/Nginx and supporting infrastructure services
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.