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Python Phd Hpc Jobs in Los Angeles, CA (NOW HIRING)

Arete Associates

HPC Software Engineer

Northridge, CA · On-site

$95K - $165K/yr

Strong programming skills in Python, including scientific Python libraries such as numpy, scipy ... Staff Engineer: $135,000 - $165,000 [experience of BS+5 years, MS+3 years, or PhD+0 years] However ...

HeyGen

Tech Lead, AI Compute Infrastructure

Los Angeles, CA · On-site

$186K - $220K/yr

... HPC systems . * Experience with data frameworks and standards like Ray, Apache Spark, LanceDB ... Strong proficiency in Python and a high-performance language such as C++ for developing core ...

Relativity Space

GNC Simulation Engineer II

Long Beach, CA · On-site

$126K - $188K/yr

An undergraduate or graduate degree (BS/MS/PhD) in engineering, physics, mathematics or related ... Python) languages * Experience developing physics-based simulations of aerospace vehicles * Ability ...

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How much do python phd hpc jobs pay per year?

As of Aug 23, 2026, the average yearly pay for python phd hpc in Los Angeles, CA is $150,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $177,200.00 per year, depending on experience, location, and employer.

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 the typical challenges faced by a Python PhD HPC specialist 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 are the key skills and qualifications needed to thrive as a Python PhD HPC 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.

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Python Phd Hpc jobs near you
Infographic showing various Python Phd Hpc job openings in Los Angeles, CA as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $150,820 per year, or $72.5 per hour.

Simulation and Modeling Engineer II

Relativity Space

Long Beach, CA

Full-time

Re-posted 2 days ago

Relativity Space rating

9.7

Company rating: 9.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 72 rated aerospace companies

Job description

About the Team:

The Guidance, Navigation, and Control (GNC) and Performance teams are responsible for defining and analyzing how Terran R flies, from liftoff to landing. The work combines a variety of disciplines such as advanced modeling, orbital mechanics, software development, and dynamic systems to optimize every phase of flight. You'll develop flight algorithms, simulate trajectories, and model Terran R's dynamic behavior across mission profiles. Whether you're early in your career or a seasoned expert, you'll have the opportunity to own critical pieces of the system, influence design, and see your work fly. The department is part of the Integrated Performance team, uniting key disciplines to drive performance at every stage of the mission.

About the Role:

  • You will be a key contributor to the 6DOF simulation used for GNC algorithm development, Monte Carlo analysis, and hardware-in-the-loop (HITL) testing
  • Work with analysis and hardware teams to develop and integrate subsystem models into the 6DOF simulation
  • Implement numerical solvers and physics models
  • Develop simulation configuration, scheduling, logging, and Monte Carlo capabilities
  • Develop simulation interfaces with GNC algorithms
  • Maintain and improve the development environment for simulation users
  • Contribute to other cross-functional software packages at Relativity

About You:

  • An undergraduate or graduate degree (BS/MS/PhD) in engineering, physics, mathematics or related disciplines
  • 2+ years of relevant full-time work experience
  • Proficiency with compiled (e.g. C++, Rust) and scripted (e.g. Python) languages
  • Experience developing physics-based simulations of aerospace vehicles
  • Ability to work in a fast paced and intense startup environment
  • Ability to complete projects with ownership of end-to-end solutions with a high degree of independence

Nice to haves but not required:  

  • Familiarity with the design and analysis of launch vehicles or space systems
  • Experience developing aerospace vehicle simulations that interface with GNC algorithms and/or hardware-in-the-loop (HITL) testing
  • Experience implementing high-performance computing (HPC) solutions
  • Experience implementing software development practices and workflows such as Docker, continuous integration (CI), and continuous deployment (CD)

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