ZipRecruiter

Log In

1

Python Phd Hpc Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137.20K - $180.90K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137.20K - $180.90K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a ...

NVIDIA

Senior Software Engineer, AI Resiliency

Redmond, WA

$137.20K - $180.90K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a ...

Nvidia

Solutions Architect, Networking - CSP

Seattle, WA

$71.75 - $94.50/hr

... AI/ML and HPC on hyperscalers! As part of the NVIDIA Solutions Architecture team, you will be ... Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows. * Experience in ...

next page

Showing results 1-20

All JobsPython Phd Hpc JobsPython Phd Hpc Jobs in Seattle, WA

Python Phd Hpc information

See Seattle, WA salary details

$26.2K

$159.3K

$230.4K

How much do python phd hpc jobs pay per year?

As of Jun 3, 2026, the average yearly pay for python phd hpc in Seattle, WA is $159,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $187,200.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Python Phd Hpc jobs in Seattle, WA? For Python Phd Hpc jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Phd Hpc jobs in Seattle, WA look for? The top searched job categories for Python Phd Hpc jobs in Seattle, WA are:
Python Phd Hpc jobs near you
Senior Deep Learning Tools Engineer - CUDA Tile

Senior Deep Learning Tools Engineer - CUDA Tile

NVIDIA

Seattle, WA • On-site

$118.90K - $163.30K/yr

Full-time

Posted 27 days ago

Job description

Job Summary:
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and they are looking for an engineer focused on performance validation, analysis, and tracking. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time.
Responsibilities:
• Design and develop performance testing frameworks for deep learning compilers and workloads
• Build and maintain automated pipelines (CI/CD) to continuously track performance across models, hardware, and compiler changes
• Implement benchmarking systems to measure latency, throughput, and efficiency of AI and HPC workloads
• Analyze performance trends over time and identify regressions, bottlenecks, and optimization opportunities
• Partner with compiler and architecture teams to debug and resolve performance issues
• Develop tools and dashboards for performance visualization, reporting, and insights
• Enable scalable testing across diverse GPU systems and environments
• Improve infrastructure to ensure reliable, reproducible, and high-signal performance data
Qualifications:
Required:
• BS, MS, or PhD (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field
• 5+ years of software engineering experience, including experience in performance engineering, benchmarking, or systems optimization
• Strong programming skills in Python (C++ is a plus)
• Experience with CI/CD systems and automation frameworks
• Familiarity with hardware-aware performance analysis (GPUs, accelerators, or similar systems)
• Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, or TensorRT
• Background in data analysis, profiling, and regression tracking
• Ability to debug complex system-level issues across software and hardware layers
Preferred:
• Experience with GPU performance analysis and optimization
• Understanding of compiler internals (LLVM, MLIR, CUDA compilation flow)
• Experience building performance dashboards and large-scale telemetry systems
• Familiarity with hardware/software co-design or low-level performance tuning
• Experience with distributed testing infrastructure or large-scale benchmarking systems
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply