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Python Phd Hpc Jobs in New York (NOW HIRING)

Thea Energy

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master ... Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran ...

PhysicsX

Principal CFD Engineer

Manhattan, NY · On-site

$100 - $130/hr

Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to ... With 5+ years of industry experience (post Masters or PhD) in a commercial, non‑research ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

PhD in bioinformatics/computational biologist, or related majors * Proficient with statistical ... Proficient with python/shell/other scripting languages * Use of high-performance computing (HPC ...

PhysicsX

Principal CFD Engineer

New York, NY · On-site

Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to ... With 5+ years of industry experience (post Masters or PhD) in a commercial, non-research ...

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Python Phd Hpc information

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.

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 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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Python Phd Hpc jobs near you

Research Engineer, Pre-Training

Jump Trading, LLC

Manhattan, NY • On-site

$300K - $350K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our team is a group of quantitative researchers, engineers, and ML experts leading foundation model research and trading at Jump. Our mission is to combine emerging techniques and original research to generate signals from financial market data and monetize it globally. We are building the future of ML-powered trading through breakthrough foundation models, and we're looking for an exceptional Pre-Training Engineer to join our team.
What You'll Do:
As a Pre-Training Research Engineer, you'll be at the forefront of developing massive-scale foundation models that fundamentally transform how we understand and predict markets, where milliseconds matter and no playbook exists. You'll own and drive the entire training stack: building fault-tolerant infrastructure that scales across thousands of GPUs and TPUs with near-linear performance, engineering data pipelines that stream terabytes per second as our models train on petabytes of data from every corner of the global markets, and designing custom kernels that unlock 10x efficiency gains. Co-designing novel architectures with researchers and pioneering cutting-edge approaches to mixed-precision training and model parallelism, you'll have the latest generation hardware at your disposal. This isn't incremental optimization; we're pushing the boundaries of what's possible in pre-training at scale, where your improvements directly impact live trading.
Other duties as assigned or needed.
Skills You'll Need:
  • Expertise and track record of significant, measurable performance improvements in large-scale distributed training (MFU, throughput, convergence, cost-per-token).
  • Published research in efficient training methods, scaling laws, architectures, or systems for ML
  • Background in numerical computing, HPC, or distributed systems, including familiarity with GPTPUs, high-performance networking (NVLink/InfiniBand), Kubernetes/Slurm, and OS internals
  • Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX)
  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier lab
  • Ability to balance ambitious research goals with practical engineering constraints
  • Strong problem-solving skills, results orientation, and excellent collaborative communication
  • Reliable and predictable availability

Bonus Points:
  • Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC)
  • Knowledge of reinforcement learning, post-training, or fine-tuning techniques
  • Knowledge of financial markets or trading

Benefits
  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs

Annual Base Salary Range
$300,000-$350,000 USD

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