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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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Python Phd Hpc jobs near you

Senior Quantum Software Engineer, Compiler

D-Wave

New Haven, CT • On-site

$123K - $162K/yr

Full-time

Posted 6 days ago

Job description

Job Summary:
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. They are seeking a Senior Quantum Software Engineer, Compiler to develop key pieces of their software platform, focusing on the compiler and interface to various quantum programming environments while collaborating with cross-functional teams.
Responsibilities:
• Collaborate with product managers, scientists, and other engineers to translate functional requirements into technical specifications and robust solutions
• Work directly with quantum application engineers and quantum physicists to understand how to convert quantum circuits into implementations targeting our industry-leading dual-rail qubit architecture
• Architect and build efficient, reliable, scalable, and maintainable compiler software and tools
• Write clean, well-documented code and conduct thorough code reviews to ensure code quality and maintainability
• Troubleshoot and debug issues, identify bottlenecks, and implement solutions to optimize performance and improve the user experience
• Provide software mentorship and guidance on best practices and help drive adherence to software best practices
Qualifications:
Required:
• Master’s degree in computer science, electrical/computer engineering, math, physics, chemistry, or equivalent experience with strong physics aptitude.
• 5+ years of hands-on software development experience with C, C++, Python, or another general-purpose compiled programming language.
• Strong understanding of compiler design fundamentals.
• 2+ years developing compiler software/transpiling quantum models and using quantum API’s (Qiskit, CUDA-Q, Q#, or Cirq) to convert quantum circuits into quantum logic and basis gates.
• Experience with intermediate representations such as QIR and compiler toolchain technologies including LLVM, MLIR, lexers, and parsers.
• Experience programming with one or more high level quantum programming languages and/or models such as Qiskit, CUDA-Q, Q#, or Cirq.
• Proficient with database systems and SQL with hands-on experience working with relational databases (e.g. PostgreSQL, Oracle).
• Competence with Git version control, build tools, and CI/CD pipelines.
• Use of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, attention to detail, and the ability to work in a collaborative team environment.
• Excellent communication and interpersonal skills with the ability to effectively communicate complex technical concepts.
Preferred:
• PhD in computer science, electrical/computer engineering, math, physics, or chemistry
• 7+ years of hands-on software development experience with C, C++, Python, or another general-purpose compiled programming language
• 5+ years developing compiler software/transpiling quantum models and using APIs such as Qiskit, CUDA-Q, Q#, or Cirq to convert quantum circuits into quantum logic and basis gates
• 2+ years directly programming with one or more high level quantum programming languages and/or models (Qiskit, CUDA-Q, Q#, or Cirq)
• Experience in scientific computing, quantum physics, or quantum computing
• Experience developing toolkits, compilers, or runtime environments for heterogenous architectures
• Experience with ahead-of-time and just-in-time compilation for quantum computing
• Experience with embedded systems, algorithms, and/or low-level control software for hardware a plus including optimizing interfaces to hardware systems
• Experience with multi-threaded programming, execution, and HPC architectures
• Experience with meta programming languages
Company:
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. Founded in 1999, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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